flaky-detector
Detect flaky tests from CI history and propose LLM-validated fixes via quarantine pull requests. Use to find flaky tests, analyze CI test stability, identify tests that flip pass/fail without code changes, or set up automated quarantine workflows. Supports any test framework that emits JUnit XML (pytest, unittest, JUnit, TestNG, Vitest, Jest with junit reporter). Trigger when users mention "flaky tests", "intermittent failures", "tests that randomly fail", "quarantine flaky tests", "CI flakiness", or ask to "find unreliable tests", "analyze CI history", "mark tests as flaky".
72
88%
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Impact
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No eval scenarios have been run
Advisory
Suggest reviewing before use
Security
1 medium severity finding. This skill can be installed but you should review these findings before use.
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
Third-party content exposure detected (high risk: 0.85). Outsider-authored free text from the runtime-provided JUnit XML (e.g., `<failure message="...">` / `failure.text`) is parsed in `parser.py` and then embedded into the LLM prompt in `agent.py` via `DEFAULT_PROMPT_TEMPLATE` (including `failure_message`), creating an indirect prompt-injection path.
- Repository
- golikovichev/flaky-detector-agent
- Commit
5f9bcfe
- Audited
- Security analysis
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