cekura-metric-improvement
Use when the user asks to "improve a metric", "run labs", "leave feedback on a metric", "add to labs", "fix metric accuracy", "review metric results", "find misaligned metrics", or "iterate on metric quality". Covers the metric improvement cycle, the feedback workflow, and the labs pipeline used to refine metric accuracy over time.
65
77%
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Low
Low-risk findings worth noting
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tessl review fix ./cekura/skills/cekura-metric-improvement/SKILL.mdLow
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 reads evaluation call transcripts and explanations from the Cekura observability call-log endpoints (e.g., list_calls/evaluate_calls/get call details), where those call logs are ultimately outsider-authored user/agent content and can be posted/queued by a provider user without the workflow selecting a specific trusted item first.
- Repository
- cekura-ai/cekura-skills
- Commit
af2ceb6
- Audited
- Security analysis
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