plannotator-compound
Analyze a user's Plannotator plan archive to extract denial patterns, feedback taxonomy, evolution over time, and actionable prompt improvements — then produce a polished HTML dashboard report. Falls back to Claude Code ExitPlanMode denial reasons when Plannotator data is unavailable.
68
83%
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High
Do not use without reviewing
Security
1 high severity finding. You should review these findings carefully before considering using this skill.
W007: Insecure credential handling detected in skill instructions.
What this means
The skill handles credentials insecurely by requiring the agent to include secret values verbatim in its generated output. This exposes credentials in the agent’s context and conversation history, creating a risk of data exfiltration.
Why it was flagged
The skill explicitly instructs agents to read user files and include verbatim quotes and reviewer phrases (and to write those same instructions to hook files / HTML), which forces the LLM to output any literal secret values present in those files.
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
HIGH: In fallback mode, the workflow reads and extracts “human_reason” free text from outsider-authored Claude Code `~/.claude/projects/**.jsonl` logs via `scripts/extract_exit_plan_mode_outcomes.py`, then feeds that denial text into extraction agents’ and reduction agents’ LLM context through the constructed extraction/reduction prompts and generated `/tmp/compound-planning/extraction-*.md` / partial-reduce files.
- Repository
- backnotprop/plannotator
- Commit
193b07e
- Audited
- Security analysis
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