Flaky ci forensics

Skill oceanfsdfsvfdsvs/flaky-ci-forensics/.claude/skills/flaky-ci-forensics

Analyze flaky CI/test failures from JUnit XML, test history, and CI logs. Use when a team needs to distinguish true regressions from flakes, estimate rerun cost, choose quarantine versus fix-now actions, or produce a prioritized triage plan.From its SKILL.md

Install

npx -y skills add oceanfsdfsvfdsvs/flaky-ci-forensics --skill flaky-ci-forensics

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

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SKILL.md

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Flaky CI Forensics

This is a Claude Code install mirror for flaky-ci-forensics. Keep the canonical implementation in flaky-ci-forensics/.

Trigger

Use when the user provides CI logs, JUnit XML, test history, or asks whether failing tests are flaky, should be rerun, should be quarantined, or need a fix-now plan.

Workflow

Preserve the exact evidence: test names, failure messages, commit, retry count, runner metadata, and whether the same commit passed on retry.
If file artifacts exist, run the canonical analyzer from the repository root:

python3 flaky-ci-forensics/scripts/flaky_ci_forensics.py \
  --junit flaky-ci-forensics/scripts/fixtures/junit.xml \
  --log flaky-ci-forensics/scripts/fixtures/ci.log \
  --history flaky-ci-forensics/scripts/fixtures/history.csv

Classify failures into the canonical buckets from flaky-ci-forensics/references/flaky-test-rules.md.
Return the standard report: CI decision, failure cluster, cost and frequency, likely root cause, minimal fix plan, instrumentation, and guardrails.

Guardrails

Do not label deterministic assertion mismatches as flaky without retry-pass or environment evidence.
Do not quarantine auth, billing, payment, migration, security, deletion, or compliance coverage without explicit approval.
Quarantine recommendations need owner, expiry, and tracking issue.

What ships with it

Read from the repository

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