citation-graph-ingest
Build a TYPED citation/reference graph over an ingested corpus — not just embeddings. Flat similarity retrieval cannot tell you that document A *overrules* B, *distinguishes* C, or *relies_on* D. This skill extracts every inter-document reference, classifies the edge TYPE with LLM judgment, and writes first-class typed edges via `gbrain link`, so `gbrain graph-query --type` can walk the argument ("everything this brief relies on, minus anything overruled since"). Every cite-heavy corpus is the same shape: law, academic papers, patents, regulatory filings, a book's bibliography.
84%
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Low
Low-risk findings worth noting
W011: Third-party content exposure detected (indirect prompt injection risk).
What this means
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
Why it was flagged
The required workflow enumerates and reads third-party documents from a user-ingested gbrain corpus (step 1 and step 2, `gbrain search`/`get_page`/`gbrain get`), which is outsider-authored free text, but the agent must read those pages through the corpus scope rather than an outsider being able to POST into a queue the workflow monitors, so this is low.
- Repository
garrytan/gbrain
- Revision
f4d1866
- Audited
- Security analysis
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