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daniellummis

GitHub Actions Rerun Effectiveness Audit

by Daniel Lummis · GitHub ↗ · v1.0.0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install github-actions-rerun-effectiveness-audit
Description
Audit GitHub Actions rerun dependency and success-after-rerun effectiveness to highlight workflows wasting CI time.
README (SKILL.md)

GitHub Actions Rerun Effectiveness Audit

Use this skill to measure how often workflows require reruns and whether reruns are actually recovering failures.

What this skill does

  • Reads GitHub Actions run JSON exports
  • Tracks rerun episodes using workflow run id + attempt history
  • Measures rerun rate, rerun success rate, and extra rerun attempts
  • Estimates wasted rerun minutes from attempt durations
  • Emits severity (ok, warn, critical) for CI policy gates

Inputs

Optional:

  • RUN_GLOB (default: artifacts/github-actions/*.json)
  • TOP_N (default: 20)
  • OUTPUT_FORMAT (text or json, default: text)
  • GROUP_BY (workflow or workflow-branch, default: workflow)
  • FAILURE_CONCLUSIONS (comma-separated, default: failure,cancelled,timed_out,startup_failure,action_required)
  • SUCCESS_CONCLUSIONS (comma-separated, default: success)
  • MIN_RUNS (minimum workflow runs required, default: 4)
  • WARN_RERUN_RATE (0..1, default: 0.2)
  • CRITICAL_RERUN_RATE (0..1, default: 0.35)
  • WARN_RERUN_SUCCESS_RATE (0..1, default: 0.5)
  • CRITICAL_RERUN_SUCCESS_RATE (0..1, default: 0.25)
  • WARN_WASTED_MINUTES (default: 20)
  • CRITICAL_WASTED_MINUTES (default: 60)
  • WORKFLOW_MATCH / WORKFLOW_EXCLUDE (regex, optional)
  • BRANCH_MATCH / BRANCH_EXCLUDE (regex, optional)
  • EVENT_MATCH / EVENT_EXCLUDE (regex, optional)
  • REPO_MATCH / REPO_EXCLUDE (regex, optional)
  • ACTOR_MATCH / ACTOR_EXCLUDE (regex, optional)
  • FAIL_ON_CRITICAL (0 or 1, default: 0)

Collect run JSON

gh run view \x3Crun-id> --attempt \x3Cattempt> \
  --json databaseId,runAttempt,workflowName,event,headBranch,headSha,conclusion,createdAt,updatedAt,runStartedAt,url,repository,actor,triggeringActor \
  > artifacts/github-actions/run-\x3Crun-id>-attempt-\x3Cattempt>.json

Run

Text report:

RUN_GLOB='artifacts/github-actions/*.json' \
bash skills/github-actions-rerun-effectiveness-audit/scripts/rerun-effectiveness-audit.sh

JSON output + fail gate:

RUN_GLOB='artifacts/github-actions/*.json' \
OUTPUT_FORMAT=json \
FAIL_ON_CRITICAL=1 \
bash skills/github-actions-rerun-effectiveness-audit/scripts/rerun-effectiveness-audit.sh

Run against bundled fixtures:

RUN_GLOB='skills/github-actions-rerun-effectiveness-audit/fixtures/*.json' \
bash skills/github-actions-rerun-effectiveness-audit/scripts/rerun-effectiveness-audit.sh

Output contract

  • Exit 0 in report mode (default)
  • Exit 1 when FAIL_ON_CRITICAL=1 and one or more groups are critical
  • Text mode prints summary + ranked workflow groups
  • JSON mode prints summary + ranked groups + critical groups
Usage Guidance
This skill appears coherent and runs entirely on local GitHub Actions run JSON exports. Before running: (1) review the JSON files matched by RUN_GLOB to ensure they contain only data you want processed; (2) if you follow the SKILL.md example using the 'gh' CLI to export runs, make sure you have gh installed and authenticated — the skill does not declare or manage gh nor request GitHub credentials; (3) be aware FAIL_ON_CRITICAL=1 will cause a non-zero exit code suitable for CI gating; (4) if you need to run this in an environment without gh, generate/export the run JSONs by other means and point RUN_GLOB at them.
Capability Analysis
Type: OpenClaw Skill Name: github-actions-rerun-effectiveness-audit Version: 1.0.0 The skill is a legitimate utility designed to audit GitHub Actions rerun patterns and identify workflows that waste CI time. The implementation in `scripts/rerun-effectiveness-audit.sh` consists of a Python script that processes local JSON files containing workflow metadata to calculate metrics such as rerun success rates and wasted minutes. The code uses standard libraries, performs basic input validation, and contains no evidence of data exfiltration, malicious execution, or unauthorized system access.
Capability Assessment
ℹ Purpose & Capability
The skill's name/description (audit reruns) matches the included script and SKILL.md: it only processes exported GitHub Actions run JSON files and computes rerun metrics. Minor inconsistency: SKILL.md shows collecting runs with the 'gh' CLI (gh run view) but the declared required binaries list only bash and python3 — 'gh' is not declared even though the docs reference it.
✓ Instruction Scope
Runtime instructions and the script operate on local JSON files matched by RUN_GLOB, apply filters, compute metrics, and print JSON/text output or set exit codes. The instructions do not direct data to external endpoints or attempt to read unrelated system config. Note: using the suggested 'gh' command to create the JSON files would invoke network access to GitHub and require a separate gh auth/token, which the skill does not request or manage.
✓ Install Mechanism
No install spec is provided (instruction + shipped script only). Nothing is downloaded or written by an installer; the execution footprint is limited to running the included bash/python script locally.
✓ Credentials
The skill declares no required credentials or config paths. It accepts many optional environment inputs (filters, thresholds, glob) which are reasonable for an analysis tool and do not include secrets. There is no attempt to read environment variables beyond the documented inputs.
✓ Persistence & Privilege
always is false and the skill does not request persistent system-wide privileges or modify other skills. It simply runs locally and exits (optionally returning non-zero when FAIL_ON_CRITICAL is set).
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install github-actions-rerun-effectiveness-audit
  3. After installation, invoke the skill by name or use /github-actions-rerun-effectiveness-audit
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of github-actions-rerun-effectiveness-audit. - Audits GitHub Actions workflows for rerun dependency and effectiveness. - Measures rerun frequency, recovery rates, and CI time potentially wasted on ineffective reruns. - Provides severity assessment (`ok`, `warn`, `critical`) for policy enforcement. - Supports customizable filtering and reporting in text or JSON formats. - Allows CI gating based on critical rerun metrics with exit code control.
Metadata
Slug github-actions-rerun-effectiveness-audit
Version 1.0.0
License —
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is GitHub Actions Rerun Effectiveness Audit?

Audit GitHub Actions rerun dependency and success-after-rerun effectiveness to highlight workflows wasting CI time. It is an AI Agent Skill for Claude Code / OpenClaw, with 283 downloads so far.

How do I install GitHub Actions Rerun Effectiveness Audit?

Run "/install github-actions-rerun-effectiveness-audit" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is GitHub Actions Rerun Effectiveness Audit free?

Yes, GitHub Actions Rerun Effectiveness Audit is completely free (open-source). You can download, install and use it at no cost.

Which platforms does GitHub Actions Rerun Effectiveness Audit support?

GitHub Actions Rerun Effectiveness Audit is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created GitHub Actions Rerun Effectiveness Audit?

It is built and maintained by Daniel Lummis (@daniellummis); the current version is v1.0.0.

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