Codex/OpenClaw skill audit: live budget, usage, duplicates, compact descriptions.
64
75%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
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Low
Low-risk findings worth noting
Fix and improve this skill with Tessl
tessl review fix ./skills/skill-cleaner/SKILL.mdLow
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.
Yes: the analyzer reads user/session log text from local files (`~/.codex/history.jsonl`, `~/.codex/sessions/**/*.jsonl`, and optionally archived/OpenClaw/Clawd folders), extracts message strings/user text from JSONL (`scanUsage()` -> `usageEvidence()` -> `applyUserMentions()`), and then renders that into the generated report output that is later consumed in the agent’s LLM context as free text.
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If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.