# semantica - Doramagic AI Context Pack

> Positioning: a pre-install experience and judgment asset. It helps the host AI get off to a good start, but it does not mean the project has already been installed, run, or validated.

## Sufficiency Principle

- **Sufficiency over compression**: The AI Context Pack should be sufficient for the host AI to understand the project's value, capability boundaries, entrypoints, risks, and evidence sources before starting work; it may be layered, but it does not aim for the shortest possible summary.
- **Compression policy**: Compress only noise and duplication, never context that affects judgment or the quality of the work.

## How the Host AI Should Use This

You are reading the AI Context Pack that Doramagic compiled for semantica. Treat it as pre-work context: help the user understand who it fits, what it can do, how to start, what must be verified after install, and where the risks are. Do not claim that you have already installed, run, or executed the target project.

## Claim Consumption Rules

- **Fact source**: Repo Evidence + Claim/Evidence Graph; the Human Wiki only supplies salience, terminology, and narrative structure.
- **Minimum status for a fact**: `supported`
- `supported`: May be used as a project fact, but the answer must cite the claim_id and evidence path.
- `weak`: Usable only as a low-confidence lead; the user must be asked to keep verifying.
- `inferred`: Usable only for risk notes or open questions; must not be packaged as a project fact.
- `unverified`: Must not be used as fact; state clearly that evidence is insufficient.
- `contradicted`: Must show the conflicting sources and must not force a single version on the user's behalf.

## Who It Fits Best

- **Developers already using host AIs such as Claude/Codex/Cursor/Gemini**: The README or plugin config mentions multiple host AIs. Evidence: `README.md` Claim: `clm_0004` supported 0.86
- **Users who want to bring professional workflows into a host AI**: The repo contains Skill documents. Evidence: `.claude/skills/semantica/SKILL.md`, `plugins/skills/causal/SKILL.md`, `plugins/skills/change/SKILL.md`, `plugins/skills/decision/SKILL.md` et al. Claim: `clm_0005` supported 0.86

## What It Can Do

- **AI Skill / Agent Instruction Asset Library** (Previewable before install): The project contains Skill or Agent instruction files that a host AI can read, useful for bringing professional workflows into hosts like Claude, Codex, or Cursor. Evidence: `.claude/skills/semantica/SKILL.md`, `plugins/skills/causal/SKILL.md`, `plugins/skills/change/SKILL.md`, `plugins/skills/decision/SKILL.md` et al. Claim: `clm_0001` supported 0.86
- **Multi-Host Install and Distribution** (Verify after install): The project contains plugin or marketplace configuration, indicating it targets install and distribution across one or more AI hosts. Evidence: `plugins/.claude-plugin/marketplace.json`, `plugins/.claude-plugin/plugin.json`, `plugins/.cline-plugin/marketplace.json`, `plugins/.cline-plugin/plugin.json` et al. Claim: `clm_0002` supported 0.86
- **Command-Line Startup or Install Flow** (Verify after install): The project documentation contains runnable commands; real use requires running them in a local or host environment. Evidence: `README.md`, `docs/quickstart.md` Claim: `clm_0003` supported 0.86

## How to Start

- `pip install semantica` Evidence: `README.md` Claim: `clm_0006` supported 0.86, `clm_0010` supported 0.86, `clm_0011` supported 0.86, `clm_0012` supported 0.86 et al.
- `curl -X POST http://localhost:8000/api/extract/entities \` Evidence: `README.md` Claim: `clm_0007` supported 0.86
- `curl -X POST http://localhost:8000/api/decisions \` Evidence: `README.md` Claim: `clm_0008` supported 0.86
- `curl http://localhost:8000/api/graph/neighbors/acme_corp?hops=2` Evidence: `README.md` Claim: `clm_0009` supported 0.86
- `pip install "semantica[explorer]"` Evidence: `README.md` Claim: `clm_0010` supported 0.86
- `pip install semantica           # core` Evidence: `README.md` Claim: `clm_0011` supported 0.86
- `pip install semantica[all]      # everything` Evidence: `README.md` Claim: `clm_0012` supported 0.86
- `pip install semantica[agno]                 # Agno multi-agent integration` Evidence: `README.md` Claim: `clm_0013` supported 0.86
- `pip install semantica[llm-litellm]          # OpenAI, Anthropic, Gemini, Mistral, Llama, Groq, Cohere, Bedrock, Ollama, DeepSeek, and more` Evidence: `README.md` Claim: `clm_0014` supported 0.86
- `pip install semantica[graph-neo4j]          # Neo4j graph store` Evidence: `README.md` Claim: `clm_0015` supported 0.86

## Continue-or-Stop Decision Card

- **Current recommendation**: Needs admin / security approval
- **Why**: Continuing may involve secrets, accounts, external services, or sensitive context; get admin or security approval first.

### 30-Second Read

- **What to do now**: Needs admin / security approval
- **Minimum safe next step**: Run Prompt Preview first; if credentials or an enterprise environment are involved, get approval before trialing
- **Do not trust yet**: Real output quality cannot be trusted before install.
- **Continuing will touch**: Command execution, Host AI configuration, Local environment or project files

### What You Can Trust Now

- **Target-audience signal: Developers already using host AIs such as Claude/Codex/Cursor/Gemini** (supported): Backed by a supported claim or project evidence, but that still is not the same as real install results. Evidence: `README.md` Claim: `clm_0004` supported 0.86
- **Target-audience signal: Users who want to bring professional workflows into a host AI** (supported): Backed by a supported claim or project evidence, but that still is not the same as real install results. Evidence: `.claude/skills/semantica/SKILL.md`, `plugins/skills/causal/SKILL.md`, `plugins/skills/change/SKILL.md`, `plugins/skills/decision/SKILL.md` et al. Claim: `clm_0005` supported 0.86
- **Capability exists: AI Skill / Agent Instruction Asset Library** (supported): You can trust that the project contains signals of this capability; whether it fits your specific task still needs trial or after-install verification. Evidence: `.claude/skills/semantica/SKILL.md`, `plugins/skills/causal/SKILL.md`, `plugins/skills/change/SKILL.md`, `plugins/skills/decision/SKILL.md` et al. Claim: `clm_0001` supported 0.86
- **Capability exists: Multi-Host Install and Distribution** (supported): You can trust that the project contains signals of this capability; whether it fits your specific task still needs trial or after-install verification. Evidence: `plugins/.claude-plugin/marketplace.json`, `plugins/.claude-plugin/plugin.json`, `plugins/.cline-plugin/marketplace.json`, `plugins/.cline-plugin/plugin.json` et al. Claim: `clm_0002` supported 0.86
- **Capability exists: Command-Line Startup or Install Flow** (supported): You can trust that the project contains signals of this capability; whether it fits your specific task still needs trial or after-install verification. Evidence: `README.md`, `docs/quickstart.md` Claim: `clm_0003` supported 0.86
- **There are Quick Start / install-command signals** (supported): You can trust that the docs mention a startup or install entrypoint; do not run it directly in your primary environment because of that. Evidence: `README.md` Claim: `clm_0006` supported 0.86, `clm_0010` supported 0.86, `clm_0011` supported 0.86, `clm_0012` supported 0.86

### What You Cannot Trust Yet

- **Real output quality cannot be trusted before install.** (unverified): Prompt Preview can only show how it guides you; it cannot prove result quality in the real project.
- **Host AI version compatibility cannot be trusted before install.** (unverified): Host loading rules and version differences across Claude, Cursor, Codex, Gemini, and others must be verified in a real environment.
- **That it will not pollute your existing host AI's behavior cannot be trusted directly.** (inferred): Skill, plugin, and AGENTS/CLAUDE/GEMINI instructions may change the host AI's default behavior. Evidence: `.claude/skills/semantica/SKILL.md`, `plugins/.claude-plugin/marketplace.json`, `plugins/.claude-plugin/plugin.json`, `plugins/.cline-plugin/marketplace.json` et al.
- **Safe rollback cannot be assumed by default.** (unverified): Unless the project clearly provides uninstall and recovery instructions, verify in an isolated environment first.
- **After a real install, is it compatible with the user's current host AI version?** (unverified): Compatibility can only be verified in the actual host environment. Evidence: `plugins/.claude-plugin/marketplace.json`, `plugins/.claude-plugin/plugin.json`, `plugins/.cline-plugin/marketplace.json`, `plugins/.cline-plugin/plugin.json` et al.
- **Does the project's output quality meet the user's specific task?** (unverified): The pre-install preview can only show flow and boundaries; it cannot replace real evaluation.
- **Do the install commands require network access, permissions, or global writes?** (unverified): This affects install risk in both enterprise and personal environments. Evidence: `README.md`

### What Continuing Will Touch

- **Command execution**: Package managers, network downloads, the local plugin directory, project config, or the user's home directory. Why: Running the very first command can already change your environment; decide whether it is worth running first. Evidence: `README.md`, `docs/quickstart.md`
- **Host AI configuration**: The plugin, Skill, or rule-loading config of hosts like Claude/Codex/Cursor/Gemini/OpenCode. Why: Host configuration changes how the AI works afterward and may conflict with the user's existing rules. Evidence: `.claude/skills/semantica/SKILL.md`, `plugins/.claude-plugin/marketplace.json`, `plugins/.claude-plugin/plugin.json`, `plugins/.cline-plugin/marketplace.json` et al.
- **Local environment or project files**: Install results, plugin caches, project config, or local dependency directories. Why: The write scope and rollback path cannot be proven before install and need isolated verification. Evidence: `README.md`, `docs/quickstart.md`, `plugins/.claude-plugin/marketplace.json`, `plugins/.claude-plugin/plugin.json` et al.
- **Environment variables / API keys**: Project entry docs explicitly showing API key, token, secret, or account credential configuration. Why: If a real install needs credentials, use test credentials first and go through a permission/compliance review. Evidence: `README.md`, `docs/guides/llm-integrations.md`, `docs/learning-more.md`, `docs/modules.md` et al.
- **Host AI context**: The AI Context Pack, Prompt Preview, Skill routing, risk rules, and project facts. Why: Importing context affects the host AI's later judgment, so avoid packaging unverified items as facts.

### Minimum Safe Next Steps

- **Run Prompt Preview first**: Use a pre-install interactive trial to judge whether the way of working fits; it needs no authorization or environment change. (applies when: Applies to any project, especially when output quality is unknown.)
- **Trial-install only in an isolated directory or a test account**: Avoid letting install commands pollute your primary host AI, real projects, or home directory. (applies when: When there are signals of command execution, plugin config, or local writes.)
- **Back up your host AI configuration first**: Skill, plugin, and rule files may change the default behavior of Claude/Cursor/Codex. (applies when: When there is a plugin manifest, a Skill, or a host rule entrypoint.)
- **Do not use real production credentials**: Once an environment variable / API key enters the host or toolchain, it can create account and compliance risk. (applies when: When environment signals like API, TOKEN, KEY, or SECRET appear.)
- **After install, verify just one minimal task**: Verify loading, compatibility, output quality, and rollback first, then decide whether to use it deeply. (applies when: When moving from a trial into a real workflow.)

### Exit Plan

- **Preserve the pre-install state**: Record the original host config and project state so you can later judge whether it is recoverable.
- **Be ready to remove the host plugin / Skill / rule entrypoint**: If behavior is off after the trial install, you can restore the host AI to its pre-trial state.
- **Record the install commands and written paths**: Without clear uninstall instructions, you at least need to know which directories or configs to clean up manually.
- **Be ready to revoke test API keys or tokens**: If test credentials leak or are misused, you can cut losses quickly.
- **If there is no rollback path, do not enter your primary environment**: No rollback is a blocker before continuing; do not proceed on trust or luck.

## What Can Only Be Previewed

- Explain who the project fits and what it can do
- Demonstrate a typical conversation flow based on project docs
- Help the user decide whether it is worth installing or researching further

## What Must Be Verified After Install

- Actually installing the Skill, plugin, or CLI
- Running scripts, modifying local files, or accessing external services
- Verifying real output quality, performance, and compatibility

## Boundary & Risk Decision Card

- **Mistaking the pre-install preview for a real run**: The user may overestimate how much configuration, permission, and compatibility verification the project has already done. Mitigation: Clearly separate prompt_preview_can_do from runtime_required. Claim: `clm_0028` inferred 0.45
- **Host AI plugin or Skill rule conflicts**: New rules may change how the user's existing host AI behaves. Mitigation: Inspect the plugin manifest and Skill files before installing, and test in isolation if needed. Evidence: `plugins/.claude-plugin/marketplace.json`, `plugins/.claude-plugin/plugin.json`, `plugins/.cline-plugin/marketplace.json`, `plugins/.cline-plugin/plugin.json` et al. Claim: `clm_0029` supported 0.86
- **Command execution will modify the local environment**: Install commands may write to the user's home directory, the host plugin directory, or project configuration. Mitigation: Run in an isolated environment or a test account first. Evidence: `README.md`, `docs/quickstart.md` Claim: `clm_0030` supported 0.86
- **To confirm**: After a real install, is it compatible with the user's current host AI version?. Why: Compatibility can only be verified in the actual host environment.
- **To confirm**: Does the project's output quality meet the user's specific task?. Why: The pre-install preview can only show flow and boundaries; it cannot replace real evaluation.
- **To confirm**: Do the install commands require network access, permissions, or global writes?. Why: This affects install risk in both enterprise and personal environments.

## Pre-Work Working Context

### Loading Order

- First read how_to_use.host_ai_instruction to establish the boundaries of this pre-install judgment asset.
- Read claim_graph_summary to confirm facts come from the Claim/Evidence Graph, not the Human Wiki narrative.
- Then read intended_users, capabilities, and quick_start_candidates to judge whether the user is a match.
- When you need to carry out a concrete task, check role_skill_index first, then evidence_index.
- For real install, file modification, network access, performance, or compatibility questions, turn to risk_card and boundaries.runtime_required.

### Task Routes

- **AI Skill / Agent Instruction Asset Library**: Use role_skill_index / evidence_index to help the user pick a usable role, Skill, or workflow first. Boundary: Can be experienced via a pre-install Prompt. Evidence: `.claude/skills/semantica/SKILL.md`, `plugins/skills/causal/SKILL.md`, `plugins/skills/change/SKILL.md`, `plugins/skills/decision/SKILL.md` et al. Claim: `clm_0001` supported 0.86
- **Multi-Host Install and Distribution**: State that this is an after-install capability first, then give a pre-install checklist. Boundary: Must be verified after a real install or run. Evidence: `plugins/.claude-plugin/marketplace.json`, `plugins/.claude-plugin/plugin.json`, `plugins/.cline-plugin/marketplace.json`, `plugins/.cline-plugin/plugin.json` et al. Claim: `clm_0002` supported 0.86
- **Command-Line Startup or Install Flow**: State that this is an after-install capability first, then give a pre-install checklist. Boundary: Must be verified after a real install or run. Evidence: `README.md`, `docs/quickstart.md` Claim: `clm_0003` supported 0.86

### Context Scale

- Total files: 711
- Important-file coverage: 40/711
- Evidence index entries: 80
- Role / Skill entries: 18

### Handling Insufficient Evidence

- **missing_evidence**: State that evidence is insufficient and ask the user for the target file, a README section, or after-install verification records; do not fill in facts.
- **out_of_scope_request**: State that the task is beyond the current AI Context Pack's evidence scope and suggest the user check the Human Manual or verify after a real install.
- **runtime_request**: Provide a pre-install checklist and command sources, but do not run commands for the user or claim they have been run.
- **source_conflict**: Show the conflicting sources side by side, mark them as unverified, and do not force a single version.

## Prompt Recipes

### Fit assessment

- Goal: Judge whether this project fits the user's current task.
- Expected output: A fit conclusion, key reasons, evidence citations, what can be previewed before install, what must be verified after install, and a next-step recommendation.

```text
Based on the AI Context Pack for semantica, ask me 3 necessary questions first, then judge whether it fits my task. The answer must cover: who it fits, what it can do, what it cannot do, whether it is worth installing, and where the evidence comes from. Every project fact must cite evidence_refs, source_paths, or a claim_id.
```

### Pre-install experience

- Goal: Let the user feel the core workflow before installing, while avoiding packaging the preview as real capability or a marketing promise.
- Expected output: An experience script with boundary labels, an after-install verification checklist, and a cautious recommendation; with no real-run promises or strong marketing language.

```text
Treat semantica as a pre-install experience asset, not an already-installed tool or a real runtime environment.

Output exactly four parts:
1. Ask me 3 necessary questions first.
2. Give an "experience script": use the three labels [Previewable before install], [Must verify after install], and [Insufficient evidence] to show how it might guide the workflow.
3. Give an after-install verification checklist: list which capabilities can only be confirmed after a real install, real host loading, and a real project run.
4. Give a cautious recommendation: only "worth researching/trialing further", "add information before deciding", or "not recommended to continue"; do not endorse the project.

Hard boundaries:
- Do not claim you have installed, run, executed tests, modified files, or produced real results.
- Do not write promise-like phrasing such as "auto-adapts", "guarantees passing", "perfect fit", or "strongly recommend installing".
- If you describe how it works after install, you must use a conditional such as "if installed successfully and the host loads the Skill correctly, it might...".
- The experience script may only be written as "example lines / hypothetical flow": use "might ask / might suggest / might show", not "has written, has generated, has passed, is running, is generating".
- Prompt Preview does not hand out install commands; if the user is ready to trial, only prompt them to read Quick Start and the Risk Card first and to verify in an isolated environment.
- Every project fact must come from a supported claim, evidence_refs, or source_paths; inferred/unverified items can only be risks or open questions.

```

### Role / Skill selection

- Goal: Pick the best-matching asset from the project's roles or Skills.
- Expected output: A list of candidate roles or Skills, each with an applicable scenario, evidence paths, risk boundary, and whether after-install verification is needed.

```text
Read role_skill_index and recommend 3-5 of the most relevant roles or Skills for my target task. For each recommendation, state the applicable scenario, likely output, risk boundary, and evidence_refs.
```

### Risk pre-check

- Goal: Identify environment, permission, rule-conflict, and quality risks before installing or adopting.
- Expected output: A checklist of environment, permission, dependency, license, host-conflict, quality risk, and unknown items.

```text
Based on risk_card, boundaries, and quick_start_candidates, give me a pre-install risk pre-check list. Do not run commands for me; only explain what I should check, why, and what impact a failure would have.
```

### Host AI kickoff instruction

- Goal: Turn the project context into a host AI instruction for the start of a conversation.
- Expected output: A pre-work instruction with clear boundaries and clear evidence citations, suitable to copy to a host AI.

```text
Based on the AI Context Pack for semantica, generate a pre-work instruction I can paste to my host AI. This instruction must obey not_runtime=true and must not claim the project has been installed, run, or produced real results.
```

## Role / Skill Index

- Indexed 18 role / Skill / project-doc entries.

- **semantica** (skill): Semantica full-stack knowledge graph skill for context graphs, decision intelligence, explainability, extraction, reasoning, visualization, ontology, provenance, policy, and export workflows. Activation hint: When the user's task is highly relevant to the workflow described by “semantica”, use it for a pre-install experience first, then decide whether to install. Evidence: `.claude/skills/semantica/SKILL.md`
- **causal** (skill): Analyze cause-and-effect relationships in the Semantica knowledge graph — causal chains, interventions, counterfactuals, and causal influence scores. Activation hint: When the user's task is highly relevant to the workflow described by “causal”, use it for a pre-install experience first, then decide whether to install. Evidence: `plugins/skills/causal/SKILL.md`
- **change** (skill): Track and inspect graph changes, diffs, temporal updates, and the impact of new data on Semantica knowledge graphs. Activation hint: When the user's task is highly relevant to the workflow described by “change”, use it for a pre-install experience first, then decide whether to install. Evidence: `plugins/skills/change/SKILL.md`
- **decision** (skill): Full decision lifecycle in Semantica — record, query, find precedents hybrid/advanced , analyze influence, explain, insights dashboard, list, and record exceptions. Uses AgentContext, ContextGraph, DecisionQuery, CausalChainAnalyzer, DecisionRecorder. Activation hint: When the user's task is highly relevant to the workflow described by “decision”, use it for a pre-install experience first, then decide whether to install. Evidence: `plugins/skills/decision/SKILL.md`
- **deduplicate** (skill): Detect duplicate entities, duplicate groups, and relationship duplicates in Semantica using fuzzy matching, schema heuristics, and graph similarity. Activation hint: When the user's task is highly relevant to the workflow described by “deduplicate”, use it for a pre-install experience first, then decide whether to install. Evidence: `plugins/skills/deduplicate/SKILL.md`
- **embed** (skill): Generate, inspect, and use node/text embeddings in Semantica — compute Node2Vec embeddings, find similar nodes, score link predictions, batch similarity, and pairwise similarity. Uses NodeEmbedder, SimilarityCalculator, LinkPredictor, and AgentContext. Sub-commands: compute, similar, similarity, predict-link, top-links, batch, pairwise. Activation hint: When the user's task is highly relevant to the workflow described by “embed”, use it for a pre-install experience first, then decide whether to install. Evidence: `plugins/skills/embed/SKILL.md`
- **explain** (skill): Explain Semantica reasoning, decision logic, and graph results with traceability, causal context, and human-readable rationale. Activation hint: When the user's task is highly relevant to the workflow described by “explain”, use it for a pre-install experience first, then decide whether to install. Evidence: `plugins/skills/explain/SKILL.md`
- **export** (skill): Export Semantica graphs, results, and provenance to JSON, RDF, Parquet, CSV, GraphML, and other formats. Activation hint: When the user's task is highly relevant to the workflow described by “export”, use it for a pre-install experience first, then decide whether to install. Evidence: `plugins/skills/export/SKILL.md`
- **extract** (skill): Run the full Semantica semantic extraction pipeline on a file or selected text — NER, relations, events, coreference resolution, triplets, and validation. Clears result cache before each run. Returns Markdown tables with entity/relation/event/triplet results and inline validator warnings. Activation hint: When the user's task is highly relevant to the workflow described by “extract”, use it for a pre-install experience first, then decide whether to install. Evidence: `plugins/skills/extract/SKILL.md`
- **ingest** (skill): Ingest data from files, databases, APIs, or streams into Semantica knowledge graphs with schema mapping and entity linking. Activation hint: When the user's task is highly relevant to the workflow described by “ingest”, use it for a pre-install experience first, then decide whether to install. Evidence: `plugins/skills/ingest/SKILL.md`
- **ontology** (skill): Manage ontology schemas, concepts, relationships, and alignments for Semantica knowledge graphs. Activation hint: When the user's task is highly relevant to the workflow described by “ontology”, use it for a pre-install experience first, then decide whether to install. Evidence: `plugins/skills/ontology/SKILL.md`
- **policy** (skill): Define and enforce policies, access controls, and compliance rules over Semantica knowledge graphs. Activation hint: When the user's task is highly relevant to the workflow described by “policy”, use it for a pre-install experience first, then decide whether to install. Evidence: `plugins/skills/policy/SKILL.md`
- **provenance** (skill): Trace data lineage, source attribution, audit trails, and provenance assertions in Semantica graphs. Activation hint: When the user's task is highly relevant to the workflow described by “provenance”, use it for a pre-install experience first, then decide whether to install. Evidence: `plugins/skills/provenance/SKILL.md`
- **query** (skill): Query the Semantica knowledge graph using SPARQL, Cypher, keyword search, and structured graph query patterns. Activation hint: When the user's task is highly relevant to the workflow described by “query”, use it for a pre-install experience first, then decide whether to install. Evidence: `plugins/skills/query/SKILL.md`
- **reason** (skill): Run reasoning over the Semantica knowledge graph — deductive logic, abductive hypothesis generation, Datalog programs, SPARQL queries, Rete network evaluation. Uses DeductiveReasoner, AbductiveReasoner, DatalogReasoner, SPARQLReasoner, ReteEngine. Sub-commands: deductive, abductive, datalog, sparql, rete, prove, hypotheses. Activation hint: When the user's task is highly relevant to the workflow described by “reason”, use it for a pre-install experience first, then decide whether to install. Evidence: `plugins/skills/reason/SKILL.md`
- **temporal** (skill): Temporal graph operations on Semantica — scoped queries at a point in time, graph snapshots, node change timelines, temporal causal analysis, and graph state reconstruction. Uses AgentContext.find precedents as of= , ContextGraph.state at , CausalChainAnalyzer.trace at time , and TemporalQueryRewriter. Sub-commands: query, snapshot, timeline, causal-at, precedents-at. Activation hint: When the user's task is highly relevant to the workflow described by “temporal”, use it for a pre-install experience first, then decide whether to install. Evidence: `plugins/skills/temporal/SKILL.md`
- **validate** (skill): Validate Semantica pipelines, extraction quality, graph schemas, and ontology consistency. Returns structured error/warning checklists. Uses PipelineValidator, PipelineBuilder.validate pipeline , GraphValidator, and OntologyValidator. Sub-commands: pipeline, step, dependencies, extraction, graph, ontology, performance. Activation hint: When the user's task is highly relevant to the workflow described by “validate”, use it for a pre-install experience first, then decide whether to install. Evidence: `plugins/skills/validate/SKILL.md`
- **visualize** (skill): Visualize the Semantica knowledge graph — topology, centrality, communities, paths, embeddings, decision insights, and temporal evolution. Uses GraphAnalyzer, CentralityCalculator, CommunityDetector, PathFinder, and ContextGraph analytics. Sub-commands: topology, centrality, community, path, decision-graph, insights, temporal, embedding. Activation hint: When the user's task is highly relevant to the workflow described by “visualize”, use it for a pre-install experience first, then decide whether to install. Evidence: `plugins/skills/visualize/SKILL.md`

## Evidence Index

- Indexed 80 evidence entries.

- **The Context & Accountability Layer for AI Systems** (documentation): The Context & Accountability Layer for AI Systems Evidence: `README.md`
- **Semantica Knowledge Explorer** (documentation): A browser-based graph workbench for the Semantica https://github.com/semantica-agi/semantica platform. Pan and zoom live graphs, scrub the timeline, trace every decision's causal chain, resolve duplicates, and author your ontology visually. Built on React 19 + Sigma.js. Evidence: `explorer/README.md`
- **Semantica MCP Server** (documentation): A fully modular Model Context Protocol https://modelcontextprotocol.io/ server for the Semantica knowledge graph. Connects Claude Code, Cursor, Windsurf, Cline, Continue, VS Code GitHub Copilot , and any other MCP-compatible AI tool directly to your Semantica graph. Evidence: `mcp/README.md`
- **Azure Container Apps** (documentation): Deploy with Azure Developer CLI from this template directory: Evidence: `deploy/azure/README.md`
- **Fly.io** (documentation): Deploy from a clean checkout using the root Dockerfile: Evidence: `deploy/fly/README.md`
- **GCP Cloud Run** (documentation): Create the Secret Manager entries, then submit the Cloud Build pipeline: Evidence: `deploy/gcp/README.md`
- **Helm** (documentation): Deploy the Knowledge Explorer chart: Evidence: `deploy/helm/README.md`
- **Knowledge Explorer Helm Chart** (documentation): Set autoscaling.enabled=true to render the HPA. Put sensitive values in Kubernetes Secrets and reference them outside this chart, or pass non-secret env values through env . Evidence: `deploy/helm/knowledge-explorer/README.md`
- **Kubernetes** (documentation): Apply the raw manifests with Kustomize: Evidence: `deploy/kubernetes/README.md`
- **Railway** (documentation): Deploys the Knowledge Explorer from the root Dockerfile and checks /api/health . Evidence: `deploy/railway/README.md`
- **Render** (documentation): This Blueprint provisions a Docker web service plus a Render Key Value instance and wires the datastore host/port into the Explorer env vars. Evidence: `deploy/render/README.md`
- **Semantica × OpenClaw Integration** (documentation): Connect OpenClaw https://openclaw.ai — the open-source personal AI agent — to Semantica's full knowledge-graph and decision-intelligence stack. Evidence: `integrations/openclaw/README.md`
- **Semantica Plugins Community Guide** (documentation): v0.4.0 — 17 domain skills · 3 agents · 8 platform plugins · Knowledge Explorer UI Evidence: `plugins/.claude-plugin/README.md`
- **Semantica — Cline Plugin** (documentation): v0.4.0 — Adds all 17 Semantica skills, 3 agents, and hook configuration to Cline VS Code extension . Evidence: `plugins/.cline-plugin/README.md`
- **Semantica — Continue Plugin** (documentation): v0.4.0 — Adds Semantica as an MCP server and context provider to Continue.dev https://continue.dev . Evidence: `plugins/.continue-plugin/README.md`
- **Semantica — OpenClaw Plugin** (documentation): v0.4.0 — Adds all 17 Semantica skills, 3 agents, and the full MCP integration to OpenClaw https://openclaw.ai — the open-source personal AI agent platform. Evidence: `plugins/.openclaw-plugin/README.md`
- **Semantica — VS Code Plugin** (documentation): v0.4.0 — Adds Semantica as an MCP server to VS Code via GitHub Copilot Chat or any MCP-aware extension . Evidence: `plugins/.vscode-plugin/README.md`
- **Semantica — Windsurf Plugin** (documentation): v0.4.0 — Adds all 17 Semantica skills, 3 agents, and hook configuration to Windsurf. Evidence: `plugins/.windsurf-plugin/README.md`
- **Four-Layer Architecture** (documentation): Semantica is built around a four-layer modular architecture. Import only what you need: the framework never forces a full stack. Every component is independently swappable, and every layer communicates through clean interfaces with no hidden coupling. Evidence: `docs/architecture.md`
- **Knowledge Graphs** (documentation): New here? Start with Getting Started getting-started for hands-on examples, then return here for deeper understanding. Evidence: `docs/concepts.md`
- **What You Can Build** (documentation): Already installed? Jump straight to Quickstart quickstart . Need setup help first? See Installation installation . Evidence: `docs/getting-started.md`
- **The Problem Every Production AI Team Hits** (documentation): Your AI agent just made a decision. Now someone needs to explain it. Evidence: `docs/index.md`
- **Package** (package_manifest): { "name": "semantica-knowledge-explorer", "private": true, "version": "0.0.0", "type": "module", "scripts": { "dev": "vite", "build": "tsc -b && vite build", "lint": "eslint .", "preview": "vite preview", "test:graph-store": "node --test tests/graphStore.multi-edge.test.mjs", "test:graph-workspace": "node --import tsx --test tests/graphSceneState.display.test.ts" }, "dependencies": { "@monaco-editor/react": "^4.7.0", "@sigma/edge-curve": "^3.1.0", "@sigma/node-border": "^3.0.0", "@tanstack/react-query": "^5.95.2", "@xyflow/react": "^12.10.2", "graphology": "^0.26.0", "graphology-communities-louvain": "^2.0.2", "graphology-layout-forceatlas2": "^0.10.1", "graphology-metrics": "^2.4.0", "grap… Evidence: `explorer/package.json`
- **Contributing to Semantica** (documentation): Thank you for your interest in contributing! Every contribution, no matter how small, is valuable. 🎉 Evidence: `CONTRIBUTING.md`
- **Semantica** (skill_instruction): This Skill helps Claude apply Semantica knowledge graph capabilities to context graph analysis, decision intelligence, explainability, semantic extraction, graph analytics, reasoning, provenance, ontology, policy, ingestion, deduplication, and export. Evidence: `.claude/skills/semantica/SKILL.md`
- **/semantica:causal** (skill_instruction): Analyze causal relationships and infer impacts. Usage: /semantica:causal args Evidence: `plugins/skills/causal/SKILL.md`
- **/semantica:change** (skill_instruction): Inspect changes over time and evaluate updates. Usage: /semantica:change args Evidence: `plugins/skills/change/SKILL.md`
- **/semantica:decision** (skill_instruction): Full decision lifecycle management. Usage: /semantica:decision args Evidence: `plugins/skills/decision/SKILL.md`
- **/semantica:deduplicate** (skill_instruction): Remove duplicates from the knowledge graph. Usage: /semantica:deduplicate args Evidence: `plugins/skills/deduplicate/SKILL.md`
- **/semantica:embed** (skill_instruction): Generate and inspect graph embeddings. Usage: /semantica:embed args Evidence: `plugins/skills/embed/SKILL.md`
- **/semantica:explain** (skill_instruction): Produce explanations for decisions, rules, and graph analytics. Usage: /semantica:explain args Evidence: `plugins/skills/explain/SKILL.md`
- **/semantica:export** (skill_instruction): Export knowledge graph data. Usage: /semantica:export args Evidence: `plugins/skills/export/SKILL.md`
- **/semantica:extract** (skill_instruction): Run the full extraction pipeline. Usage: /semantica:extract file path "inline text" Evidence: `plugins/skills/extract/SKILL.md`
- **/semantica:ingest** (skill_instruction): Ingest new data into the knowledge graph. Usage: /semantica:ingest args Evidence: `plugins/skills/ingest/SKILL.md`
- **/semantica:ontology** (skill_instruction): Manage ontology definitions and validation. Usage: /semantica:ontology args Evidence: `plugins/skills/ontology/SKILL.md`
- **/semantica:policy** (skill_instruction): Apply policy rules and checks. Usage: /semantica:policy args Evidence: `plugins/skills/policy/SKILL.md`
- **/semantica:provenance** (skill_instruction): Inspect provenance metadata. Usage: /semantica:provenance args Evidence: `plugins/skills/provenance/SKILL.md`
- **/semantica:query** (skill_instruction): Run graph queries and search. Usage: /semantica:query args Evidence: `plugins/skills/query/SKILL.md`
- **/semantica:reason** (skill_instruction): Apply reasoning over the knowledge graph. Usage: /semantica:reason args Evidence: `plugins/skills/reason/SKILL.md`
- **/semantica:temporal** (skill_instruction): Temporal graph operations. Usage: /semantica:temporal args Evidence: `plugins/skills/temporal/SKILL.md`
- **/semantica:validate** (skill_instruction): Validate pipeline and graph quality. Usage: /semantica:validate options Evidence: `plugins/skills/validate/SKILL.md`
- **/semantica:visualize** (skill_instruction): Render graph visualizations as Mermaid, ASCII, or structured Markdown. Usage: /semantica:visualize args Evidence: `plugins/skills/visualize/SKILL.md`
- **Marketplace** (structured_config): { "name": "semantica-local", "owner": { "name": "Hawksight AI", "url": "https://github.com/Hawksight-AI/semantica" }, "plugins": { "name": "semantica", "description": "Semantica plugin for Claude: knowledge graph skills, reasoning, extraction, and visualization.", "source": "./", "category": "Productivity", "tags": "knowledge-graph", "reasoning", "semantica" } } Evidence: `plugins/.claude-plugin/marketplace.json`
- **Plugin** (structured_config): { "name": "semantica", "description": "Full-stack knowledge graph skills: semantic extraction, decision intelligence, context graphs, reasoning, explainability, ontology, provenance, deduplication, visualization, and multi-format export.", "version": "0.1.0", "author": { "name": "Semantica Contributors" }, "homepage": "https://github.com/Hawksight-AI/semantica", "repository": "https://github.com/Hawksight-AI/semantica", "license": "MIT", "keywords": "semantica", "knowledge graph", "context graphs", "decision intelligence", "explainability", "causal analysis", "provenance", "ontology", "graph analytics", "semantic extraction", "visualization", "reasoning", "extraction", "mcp" , "skills": "./… Evidence: `plugins/.claude-plugin/plugin.json`
- **Marketplace** (structured_config): { "name": "semantica-cline", "plugins": { "name": "semantica", "description": "Semantica plugin for Cline: knowledge graph skills, reasoning, extraction, and visualization.", "source": "./", "category": "Productivity", "tags": "knowledge-graph", "reasoning", "semantica", "cline" } } Evidence: `plugins/.cline-plugin/marketplace.json`
- **Plugin** (structured_config): { "name": "semantica-cline", "displayName": "Semantica Cline Plugin", "description": "Semantica plugin for Cline: knowledge graph skills, decision intelligence, reasoning, extraction, and visualization.", "version": "0.1.0", "author": { "name": "Semantica Contributors" }, "homepage": "https://github.com/Hawksight-AI/semantica", "repository": "https://github.com/Hawksight-AI/semantica", "license": "MIT", "keywords": "semantica", "knowledge graph", "cline", "context graphs", "decision intelligence", "explainability", "causal analysis", "provenance", "ontology", "graph analytics", "semantic extraction", "visualization", "reasoning", "mcp" , "skills": "../skills", "agents": "../agents", "hooks"… Evidence: `plugins/.cline-plugin/plugin.json`
- **Marketplace** (structured_config): { "name": "semantica-local", "interface": { "displayName": "Semantica Local Plugins" }, "plugins": { "name": "semantica-codex", "description": "Semantica plugin for Codex: knowledge graph commands and analytics.", "source": { "source": "local", "path": "./" }, "policy": { "installation": "AVAILABLE", "authentication": "ON INSTALL" }, "category": "Productivity" } } Evidence: `plugins/.codex-plugin/marketplace.json`
- **Plugin** (structured_config): { "name": "semantica-codex", "description": "Semantica plugin for Codex: knowledge graph commands, export capabilities, and reasoning workflows.", "version": "0.1.0", "author": { "name": "Semantica Contributors" }, "homepage": "https://github.com/Hawksight-AI/semantica", "repository": "https://github.com/Hawksight-AI/semantica", "license": "MIT", "keywords": "semantica", "knowledge graph", "codex", "context graphs", "decision intelligence", "explainability", "causal analysis", "provenance", "ontology", "graph analytics", "semantic extraction", "visualization", "reasoning", "extraction", "mcp" , "skills": "./skills", "interface": { "displayName": "Semantica Codex Plugin", "shortDescription":… Evidence: `plugins/.codex-plugin/plugin.json`
- **Marketplace** (structured_config): { "name": "semantica-continue", "plugins": { "name": "semantica", "description": "Semantica plugin for Continue.dev: knowledge graph context provider, reasoning, and extraction.", "source": "./", "category": "Productivity", "tags": "knowledge-graph", "reasoning", "semantica", "continue" } } Evidence: `plugins/.continue-plugin/marketplace.json`
- **Plugin** (structured_config): { "name": "semantica-continue", "displayName": "Semantica Continue Plugin", "description": "Semantica plugin for Continue.dev: knowledge graph context provider, decision intelligence, reasoning, and semantic extraction.", "version": "0.1.0", "author": { "name": "Semantica Contributors" }, "homepage": "https://github.com/Hawksight-AI/semantica", "repository": "https://github.com/Hawksight-AI/semantica", "license": "MIT", "keywords": "semantica", "knowledge graph", "continue", "context provider", "decision intelligence", "explainability", "causal analysis", "provenance", "ontology", "semantic extraction", "reasoning", "mcp" , "skills": "../skills", "agents": "../agents", "hooks": "../hooks/ho… Evidence: `plugins/.continue-plugin/plugin.json`
- **Marketplace** (structured_config): { "name": "semantica-local", "owner": { "name": "Semantica Contributors" }, "metadata": { "description": "Semantica plugin marketplace for Cursor.", "version": "0.1.0", "pluginRoot": "." }, "plugins": { "name": "semantica-cursor", "description": "Semantica plugin for Cursor: knowledge graph skills and analytics.", "source": "." } } Evidence: `plugins/.cursor-plugin/marketplace.json`
- **Plugin** (structured_config): { "name": "semantica-cursor", "displayName": "Semantica Cursor Plugin", "description": "Semantica plugin for Cursor: knowledge graph skills, reasoning, extraction, and visualization.", "version": "0.1.0", "author": { "name": "Semantica Contributors" }, "homepage": "https://github.com/Hawksight-AI/semantica", "repository": "https://github.com/Hawksight-AI/semantica", "license": "MIT", "keywords": "semantica", "knowledge graph", "cursor", "context graphs", "decision intelligence", "explainability", "causal analysis", "provenance", "ontology", "graph analytics", "semantic extraction", "visualization", "reasoning", "extraction", "mcp" , "skills": "./skills", "agents": "./agents", "hooks": "./ho… Evidence: `plugins/.cursor-plugin/plugin.json`
- **Marketplace** (structured_config): { "name": "semantica-openclaw", "plugins": { "name": "semantica", "description": "Semantica plugin for OpenClaw: knowledge graph skills, decision intelligence, reasoning, extraction, and visualization.", "source": "./", "category": "Productivity", "tags": "knowledge-graph", "reasoning", "semantica", "openclaw", "mcp" } } Evidence: `plugins/.openclaw-plugin/marketplace.json`
- **Plugin** (structured_config): { "name": "semantica-openclaw", "displayName": "Semantica OpenClaw Plugin", "description": "Semantica plugin for OpenClaw: knowledge graph skills, decision intelligence, reasoning, extraction, and visualization via MCP and native REST tool.", "version": "0.1.0", "author": { "name": "Semantica Contributors" }, "homepage": "https://github.com/Hawksight-AI/semantica", "repository": "https://github.com/Hawksight-AI/semantica", "license": "MIT", "keywords": "semantica", "knowledge graph", "openclaw", "context graphs", "decision intelligence", "explainability", "causal analysis", "provenance", "ontology", "graph analytics", "semantic extraction", "visualization", "reasoning", "mcp" , "skills": ".… Evidence: `plugins/.openclaw-plugin/plugin.json`
- **Marketplace** (structured_config): { "name": "semantica-vscode", "plugins": { "name": "semantica", "description": "Semantica plugin for VS Code: knowledge graph skills, reasoning, extraction, and visualization.", "source": "./", "category": "Productivity", "tags": "knowledge-graph", "reasoning", "semantica", "vscode" } } Evidence: `plugins/.vscode-plugin/marketplace.json`
- **Plugin** (structured_config): { "name": "semantica-vscode", "displayName": "Semantica VS Code Plugin", "description": "Semantica plugin for VS Code: knowledge graph skills, decision intelligence, reasoning, extraction, and visualization via MCP server.", "version": "0.1.0", "author": { "name": "Semantica Contributors" }, "homepage": "https://github.com/Hawksight-AI/semantica", "repository": "https://github.com/Hawksight-AI/semantica", "license": "MIT", "keywords": "semantica", "knowledge graph", "vscode", "context graphs", "decision intelligence", "explainability", "causal analysis", "provenance", "ontology", "graph analytics", "semantic extraction", "visualization", "reasoning", "mcp" , "skills": "../skills", "agents":… Evidence: `plugins/.vscode-plugin/plugin.json`
- **Marketplace** (structured_config): { "name": "semantica-windsurf", "plugins": { "name": "semantica", "description": "Semantica plugin for Windsurf: knowledge graph skills, reasoning, extraction, and visualization.", "source": "./", "category": "Productivity", "tags": "knowledge-graph", "reasoning", "semantica", "windsurf" } } Evidence: `plugins/.windsurf-plugin/marketplace.json`
- **Plugin** (structured_config): { "name": "semantica-windsurf", "displayName": "Semantica Windsurf Plugin", "description": "Semantica plugin for Windsurf: knowledge graph skills, decision intelligence, reasoning, extraction, and visualization.", "version": "0.1.0", "author": { "name": "Semantica Contributors" }, "homepage": "https://github.com/Hawksight-AI/semantica", "repository": "https://github.com/Hawksight-AI/semantica", "license": "MIT", "keywords": "semantica", "knowledge graph", "windsurf", "context graphs", "decision intelligence", "explainability", "causal analysis", "provenance", "ontology", "graph analytics", "semantic extraction", "visualization", "reasoning", "mcp" , "skills": "../skills", "agents": "../agen… Evidence: `plugins/.windsurf-plugin/plugin.json`
- **License** (source_file): Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files the "Software" , to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: Evidence: `LICENSE`
- **Semantica — Architecture** (documentation): Complete data flow from every source type to every final output, and the decision intelligence lifecycle. Evidence: `ARCHITECTURE.md`
- The remaining 20 evidence entries are in `AI_CONTEXT_PACK.json` or `EVIDENCE_INDEX.json`.

## Rules the Host AI Must Follow

- **Treat this asset as pre-work context, not a runtime environment.**: The AI Context Pack contains only an evidence-backed understanding of the project, not the project's executable state. Evidence: `README.md`, `explorer/README.md`, `mcp/README.md`
- **When answering the user, distinguish what can be previewed from what can only be verified after install.**: The consumer value of the pre-install experience comes from reducing bad installs and misjudgments, not from pretending to be a real run. Evidence: `README.md`, `explorer/README.md`, `mcp/README.md`

## Questions the User Should Answer First

- Which host AI or local environment do you plan to use it in?
- Do you just want to experience the workflow first, or are you ready to actually install?
- What matters most to you: install cost, output quality, or conflicts with your existing rules?

## Acceptance Checks

- Every capability claim can be traced back to a file path in evidence_refs.
- AI_CONTEXT_PACK.md does not package previews as a real run.
- The user can understand who it fits, what it can do, how to start, and the risk boundaries within 3 minutes.

---

## Doramagic Context Augmentation

The following sections strengthen the repository context for a host AI. Human Manual data is a reading route, and pitfall notes become operating constraints.

## Human Manual Outline

Usage rule: this is only a reading route and salience signal, not factual authority. Concrete claims must still return to repo evidence or Claim Graph.

Host AI hard rules:
- Do not treat page titles, section order, summaries, or importance values as factual project evidence.
- When explaining the Human Manual outline, state that it is only a reading route or salience signal.
- Capability, installation, compatibility, runtime state, and risk claims must cite repo evidence, source paths, or Claim Graph.

- **Overview & System Architecture**: importance `high`
  - source_paths: README.md, ARCHITECTURE.md, docs/index.md, docs/concepts.md, docs/architecture.md
- **Data Pipeline & Knowledge Graph Construction**: importance `high`
  - source_paths: semantica/ingest/__init__.py, semantica/ingest/file_ingestor.py, semantica/ingest/web_ingestor.py, semantica/ingest/parquet_ingestor.py, semantica/ingest/arrow_ingestor.py
- **Decision Intelligence, Reasoning & Governance**: importance `high`
  - source_paths: semantica/context/__init__.py, semantica/context/context_graph.py, semantica/context/agent_context.py, semantica/context/decision_context.py, semantica/context/decision_recorder.py
- **Explorer, Integrations & Deployment**: importance `high`
  - source_paths: explorer/README.md, explorer/src/App.tsx, explorer/src/workspaces/GraphWorkspace/GraphWorkspace.tsx, explorer/src/workspaces/OntologyWorkspace/OntologyManager.tsx, explorer/src/workspaces/DecisionWorkspace/DecisionWorkspace.tsx

## Repo Inspection Evidence

- repo_clone_verified: true
- repo_inspection_verified: true
- repo_commit: `611be57ee639758b399357afe9611b90ac09d78c`
- inspected_files: `Dockerfile`, `README.md`, `docker-compose.yml`, `pyproject.toml`, `docs/architecture.md`, `docs/changelog.md`, `docs/choose-your-module.md`, `docs/citation.md`, `docs/cli-setup.md`, `docs/community-projects.md`, `docs/community.md`, `docs/concepts.md`, `docs/contributing-guide.md`, `docs/cookbook.md`, `docs/docs.json`, `docs/explorer-setup.md`, `docs/faq.md`, `docs/getting-started.md`, `docs/glossary.md`, `docs/governance.md`

Host AI hard rules:
- Without repo_clone_verified=true, do not claim that the source code has been read.
- Without repo_inspection_verified=true, do not write README, docs, or package-file conclusions as facts.
- Without quick_start_verified=true, do not claim that the Quick Start path has run successfully.

## Doramagic Pitfall Constraints

These rules come from Doramagic discovery, validation, or compilation findings. The host AI must treat them as operating constraints, not background notes.

### Constraint 1: Capability evidence risk requires verification

- Trigger: README/documentation is current enough for a first validation pass.
- Host AI rule: Reproduce the official install and quickstart path in an isolated environment.
- Why it matters: May increase setup, validation, or first-run risk for the user.
- Evidence: capability.assumptions | https://github.com/semantica-agi/semantica
- Hard boundary: Do not present this pitfall as solved, verified, or ignorable unless later evidence explicitly closes it.

### Constraint 2: Security or permission risk requires verification

- Trigger: no_demo
- Host AI rule: Reproduce the official install and quickstart path in an isolated environment.
- Why it matters: May increase setup, validation, or first-run risk for the user.
- Evidence: downstream_validation.risk_items | https://github.com/semantica-agi/semantica
- Hard boundary: Do not present this pitfall as solved, verified, or ignorable unless later evidence explicitly closes it.

### Constraint 3: Security or permission risk requires verification

- Trigger: no_demo
- Host AI rule: Reproduce the official install and quickstart path in an isolated environment.
- Why it matters: May increase setup, validation, or first-run risk for the user.
- Evidence: risks.scoring_risks | https://github.com/semantica-agi/semantica
- Hard boundary: Do not present this pitfall as solved, verified, or ignorable unless later evidence explicitly closes it.

### Constraint 4: Maintenance risk requires verification

- Trigger: issue_or_pr_quality=unknown。
- Host AI rule: Reproduce the official install and quickstart path in an isolated environment.
- Why it matters: May increase setup, validation, or first-run risk for the user.
- Evidence: evidence.maintainer_signals | https://github.com/semantica-agi/semantica
- Hard boundary: Do not present this pitfall as solved, verified, or ignorable unless later evidence explicitly closes it.

### Constraint 5: Maintenance risk requires verification

- Trigger: release_recency=unknown。
- Host AI rule: Reproduce the official install and quickstart path in an isolated environment.
- Why it matters: May increase setup, validation, or first-run risk for the user.
- Evidence: evidence.maintainer_signals | https://github.com/semantica-agi/semantica
- Hard boundary: Do not present this pitfall as solved, verified, or ignorable unless later evidence explicitly closes it.