Analyze recorded product feedback into evidence for bugs and requirements. Use when a Riffrec capture or other screen, voice, or notes artifact needs interpretation. Use for Riffrec setup, capture, or sharing help when no recording exists yet.
69
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Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
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.
Runtime path reads outsider-authored free text from user-supplied Riffrec/session artifacts: `references/analyzer.md` → `scripts/analyze_riffrec_zip.py` loads `session.json`/`events.json` from a provided zip or capture dir, then reads meeting-notes `.md/.txt` via `read_notes()` and writes transcript-derived text into `analysis.md`/`review-prompt.md`.
26bf5b1
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