github-actions-failure-phase-audit
Group GitHub Actions failures by pipeline phase (setup/build/test/lint/deploy/security) with minute impact to prioritize fixes.
Skills related to development workflows, CI/CD, automation, and integration.
Group GitHub Actions failures by pipeline phase (setup/build/test/lint/deploy/security) with minute impact to prioritize fixes.
Detect sudden GitHub Actions failure-rate spikes by workflow group using recent-vs-baseline run windows.
Detect consecutive GitHub Actions failure streaks by repo/workflow/branch to prioritize unstable pipelines.
Cluster failed GitHub Actions runs into incident windows by repo to expose outage duration, impact scope, and escalation severity.
Audit GitHub Actions mainline branch reliability by scoring failure rate, consecutive failures, and stale-success risk for critical workflows.
Audit manual GitHub Actions trigger dependence by workflow/event to flag automation gaps and intervention risk.
Audit GitHub merge queue workflow health with failure-rate, queue-latency, and stale-success risk scoring.
Audit GitHub Actions cloud auth workflows for OIDC hardening gaps like missing id-token write permissions, static cloud secrets, and floating auth action refs.
Audit GitHub Actions workflow permission scope drift to enforce least-privilege token access.
Audit pull-request and merge-queue GitHub Actions reliability by scoring failure rate, queue latency, and stale-success risk for merge gates.
Audit GitHub Actions queue wait hotspots from run/job JSON so CI bottlenecks are visible before they stall merges.
Measure GitHub Actions failure recovery latency and unresolved incident age by workflow group.
Audit GitHub Actions rerun dependency and success-after-rerun effectiveness to highlight workflows wasting CI time.
Quantify wasted GitHub Actions minutes caused by reruns so flaky workflows can be fixed with data.
Audit GitHub Actions runs for fail-then-success retry recovery patterns to quantify flaky rerun waste.
Detect GitHub Actions workflow groups that stopped running on their normal cadence using median run intervals and current inactivity gap.
Compare baseline vs current GitHub Actions run exports to catch workflow/job runtime regressions before CI costs and lead time spike.
Audit GitHub Actions workflow files for secret exposure risks like pull_request_target secret usage, secret echo commands, and unpinned action secret passing.
Audit GitHub Actions workflows that use self-hosted runners for untrusted trigger and credential-hardening risks.
Audit rerun debt by commit SHA to find commits that repeatedly burn CI minutes across workflows.
Detect flaky GitHub Actions job steps by finding mixed success/failure conclusions across runs.
Detect stale queued/in-progress GitHub Actions runs before they quietly block delivery.
Audit GitHub Actions job runtime risk against timeout thresholds so near-timeout jobs get fixed before they fail CI.
Audit GitHub Actions run health by trigger event and workflow so flaky or noisy automation sources are easy to prioritize.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.