deflake
Finds flaky tests on the main branch by analyzing GitHub Actions failures, ranks them by frequency, and enters parallel plan mode to design deflake strategies. Use when you want to find and fix the flakiest tests.
64
75%
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Low
Low-risk findings worth noting
Fix and improve this skill with Tessl
tessl review fix ./.claude/skills/deflake/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
SKILL.md/collect-flakes.py ingests outsider-authored free text from GitHub Actions job logs by fetching failed run logs via `gh run view ... --log-failed`, then the workflow passes extracted failure/test names and log-derived failure modes into the LLM for categorization and planning.
- Repository
- stacklok/toolhive
- Commit
cd373ec
- Audited
- Security analysis
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