A diagnostic tool to identify GitHub Actions workflows that have missed their expected execution cadence.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install github-actions-run-gap-audit
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install github-actions-run-gap-audit using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The GitHub Actions Run Gap Audit skill provides an automated way to monitor the health of your CI/CD pipelines by analyzing the frequency of GitHub Actions runs. By calculating the median and p90 intervals from historical data, it identifies gaps where automation may have failed, been disabled, or suffered from branch drift. As a vital component of the Openclaw Skills library, it helps maintain high availability for your development workflows by surfacing silent failures that traditional monitoring might miss.
To use this skill, first collect run data using the GitHub CLI:
gh run view <run-id> --json databaseId,workflowName,event,conclusion,headBranch,headSha,createdAt,updatedAt,startedAt,url,repository > artifacts/github-actions/run-<run-id>.json
Then, execute the audit script with your desired configuration using Openclaw Skills commands:
RUN_GLOB='artifacts/github-actions/*.json' \
MIN_RUNS=5 \
bash skills/github-actions-run-gap-audit/scripts/run-gap-audit.sh
This skill processes JSON exports and organizes metadata into a structured audit schema:
| Attribute | Description |
|---|---|
| Grouping | Unique identifier combining Repo, Workflow, Branch, and Event |
| Cadence Metrics | Calculated median and p90 hours between execution intervals |
| Inactivity Gap | The duration in hours since the most recent workflow run |
| Risk Severity | Status (ok, warn, critical) determined by gap multipliers |
| Filter Metadata | Supports regex matching for targeting specific repos or workflows |
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Analyze GitHub Actions run history to identify and quantify the cost of flaky fail-then-success retry patterns.

A technical auditing tool to quantify wasted GitHub Actions minutes by analyzing workflow reruns and flakiness data.

A performance auditing tool to measure the effectiveness of GitHub Actions reruns and identify wasted CI resources.

A diagnostic tool to measure how quickly GitHub Actions workflows recover from failures and identify persistent CI bottlenecks.

Analyze and compare GitHub Actions runtime metrics to detect performance regressions and optimize CI costs.

An automated auditing tool to identify and mitigate secret exposure risks within GitHub Actions workflow configurations.








































