log-error-digest
Analyze log files to troubleshoot errors, identify peak error periods, and produce error clustering, frequency statistics, and time distribution reports. Supports JSON, syslog, and Nginx formats with automatic detection. Use when a user uploads a .log file and asks to analyze errors, find patterns, debug issues, or get distribution stats.
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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 workflow ingests the contents of a user-supplied `log_file_path` (via `scripts/analyze_logs.py:208-248` reading `path.read_text(...).splitlines()`), and those log lines can be outsider-authored text that is then used to build cluster `sample` strings and printed/exported reports (free text handling), even though the code does not use an LLM.
- Repository
- zebbern/claude-code-guide
- Commit
af7d491
- Audited
- Security analysis
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