interview-mapper
Maps a single interview transcript into a verbatim-grounded, lens-coded structure and checks whether analytic conclusions hold across independent re-runs. Use when the user wants to code, map, interpret, or make sense of an interview transcript, depth interview, custdev/JTBD/expert/usability/exit/win-loss/focus-group session, or wants cross-interview synthesis (insight cards, patterns) built up from coded transcripts — even if they don't name a method. Every conclusion must carry a verbatim quote verified against the source text; unstable conclusions are flagged for a human, never resolved by a single silent pass. Not for generating new interviews, not for plain audio transcription, and not for research-method or sample-size planning above the transcript (see product-research).
75
94%
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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 ingests an interview transcript and relies on the LLM to process its text, which is an untrusted user-supplied input stream.
- Repository
alirezarezvani/claude-skills
- Revision
27cfcd0
- Audited
- Security analysis
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