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SKILL unreviewed MIT Self-run

Rag Project Query

skill-butchokoy25-lightrag-claude-skills-rag-project-query · by butchokoy25

Query the project-level LightRAG knowledge graph for project-specific context and decisions

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Install

$ agentstack add skill-butchokoy25-lightrag-claude-skills-rag-project-query

Open-source listing — not yet scanned by AgentStack. Follow the source repository for install instructions.

Security review

⚠ Flagged

1 finding(s); flagged for manual review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures
  • high Reads credentials/environment and may exfiltrate them.

What it can access

  • Network access Used
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets Used
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

RAG Project Query — Project Knowledge Graph

Query the project-level LightRAG knowledge graph for architecture decisions, conventions, dependencies, and project-specific context.

Query Modes

| Mode | When to use | What it does | |------|------------|--------------| | hybrid (default) | Most queries | Combines local entity relationships + global topic summaries | | local | "What's related to X in this project?" | Traverses entity relationships from specific nodes | | global | "What are the project conventions?" | Summarizes across all project documents | | naive | Simple keyword lookup | Basic text search, fastest but least intelligent |

How to query

Full query

node -e "
const BASE = 'http://YOUR_LIGHTRAG_HOST:YOUR_PROJECT_PORT';
const API_KEY = process.env.LIGHTRAG_API_KEY || 'YOUR_API_KEY';
(async () => {
  const res = await fetch(BASE + '/query', {
    method: 'POST',
    headers: {
      'Content-Type': 'application/json',
      'X-API-Key': API_KEY
    },
    body: JSON.stringify({
      query: 'QUERY_HERE',
      mode: 'hybrid'
    })
  });
  const data = await res.json();
  console.log(JSON.stringify(data, null, 2));
})();
"

Context-only query

node -e "
const BASE = 'http://YOUR_LIGHTRAG_HOST:YOUR_PROJECT_PORT';
const API_KEY = process.env.LIGHTRAG_API_KEY || 'YOUR_API_KEY';
(async () => {
  const res = await fetch(BASE + '/query', {
    method: 'POST',
    headers: {
      'Content-Type': 'application/json',
      'X-API-Key': API_KEY
    },
    body: JSON.stringify({
      query: 'QUERY_HERE',
      mode: 'hybrid',
      only_need_context: true
    })
  });
  const data = await res.json();
  console.log(typeof data === 'string' ? data : JSON.stringify(data, null, 2));
})();
"

Response format

When presenting results:

  • Distinguish project memory from personal memory — prefix with "Project context:" when relevant
  • Be concise — summarize, don't dump raw JSON
  • Cite the source type (e.g., "from an architecture decision stored on 2026-03-20")
  • Flag stale info (>30 days old)
  • If no results, say so — don't fabricate

Infrastructure

  • Server: YOUR_LIGHTRAG_HOST:YOUR_PROJECT_PORT
  • Auth: X-API-Key header (auth-enabled mode)
  • Env var: LIGHTRAG_API_KEY
  • Workspace: Project-specific (separate from personal graph)

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.