heavy-file-ingestion
Use when a user asks to read, analyze, summarize, or extract from a heavyweight file such as PDF, DOCX, PPTX, XLSX, CSV, or TSV. Convert the file into markdown or CSV first, generate a lightweight index, and only spend model tokens on the compressed artifact. Trigger on requests like "read this PDF", "look through this spreadsheet", "summarize this deck", or any time raw file ingestion would waste tokens.
74
92%
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Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
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 runtime workflow reads the user-provided, outsider-authored source file (e.g., a PDF/DOCX/PPTX/XLSX) and writes extracted text into generated `index.md`/`document.md`/CSV outputs that the main agent then reads (explicitly: “Read the generated `index.md` first”), so the LLM context can include attacker-controlled free text from that external document.
- Repository
- NateBJones-Projects/OB1
- Commit
6779106
- Audited
- Security analysis
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