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Pipeline monitor

Skill manastalukdar/ai-devstudio/skills/pipeline-monitor

Track build success rates and identify flaky tests from CI logsFrom its SKILL.md

Install
npx -y skills add manastalukdar/ai-devstudio --skill pipeline-monitor

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

1.1 KB, 219 tokens by cl100k_base, as published. Nobody here has run it

CI/CD Pipeline Monitor

I'll analyze your CI/CD pipeline metrics, track build success rates, identify flaky tests, and provide performance trend analysis.

Arguments: $ARGUMENTS - pipeline platform (github, gitlab, circle), time range, or specific build numbers

Monitoring Philosophy

  • Data-Driven Insights: Identify trends, not just failures
  • Flaky Test Detection: Find tests that fail inconsistently
  • Performance Tracking: Monitor build duration over time
  • Success Rate Metrics: Track reliability trends
  • Multi-Platform: Support GitHub Actions, GitLab CI, CircleCI, Jenkins

Token Optimization

Expected range: 400–2,500 tokens (initial), 100 tokens (cache hit)

Caching: Caches platform detection in .claude/cache/pipeline-monitor/platform.json for 7 days.

Early exit: Returns immediately if the pipeline is healthy and no issues are detected.

Patterns used: Grep-before-Read, early exit, Bash for system queries, caching

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Keep looking

Skills are one crate of 326,790. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.