Mine Claude Code session logs for skill idea candidates. Use when running the weekly skill generation pipeline to extract, score, and backlog new skill ideas from recent coding sessions.
70
86%
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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.
In `scripts/mine_session_logs.py`, runtime loads outsider-authored free text from Claude Code **session logs** (`log_path.read_text(...)` → `parse_session()` → `entry message content` into `user_messages`) and directly embeds those samples into the LLM prompt via `_build_llm_prompt(..., user_samples)`/`subprocess.run(..., input=prompt)`; this is indirect prompt-injection exposure from external users’ messages.
62a1635
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