← Back to Skills Marketplace
daniellummis

GitHub Actions Failure Spike Audit

by Daniel Lummis · GitHub ↗ · v1.0.0
cross-platform ✓ Security Clean
255
Downloads
0
Stars
0
Active Installs
1
Versions
Install in OpenClaw
/install github-actions-failure-spike-audit
Description
Detect sudden GitHub Actions failure-rate spikes by workflow group using recent-vs-baseline run windows.
README (SKILL.md)

GitHub Actions Failure Spike Audit

Use this skill to catch workflows that recently degraded (new flaky tests, broken deploy gates, bad dependency updates, or infra outages) before they become long-running incidents.

What this skill does

  • Reads GitHub Actions run JSON exports
  • Groups by repository + workflow + branch + event
  • Splits each group into recent runs and baseline history
  • Compares recent failure rate to baseline failure rate
  • Scores severity (ok, warn, critical) using spike + recent failure rate gates
  • Emits text or JSON output for CI automation

Inputs

Optional:

  • RUN_GLOB (default: artifacts/github-actions/*.json)
  • TOP_N (default: 20)
  • OUTPUT_FORMAT (text or json, default: text)
  • RECENT_RUNS (default: 4)
  • MIN_RECENT_RUNS (default: 3)
  • MIN_BASELINE_RUNS (default: 4)
  • WARN_SPIKE_PCT (default: 15)
  • CRITICAL_SPIKE_PCT (default: 30)
  • WARN_RECENT_FAILURE_RATE (default: 25)
  • CRITICAL_RECENT_FAILURE_RATE (default: 45)
  • WORKFLOW_MATCH (regex, optional)
  • WORKFLOW_EXCLUDE (regex, optional)
  • BRANCH_MATCH (regex, optional)
  • BRANCH_EXCLUDE (regex, optional)
  • EVENT_MATCH (regex, optional)
  • EVENT_EXCLUDE (regex, optional)
  • REPO_MATCH (regex, optional)
  • REPO_EXCLUDE (regex, optional)
  • FAIL_ON_CRITICAL (0 or 1, default: 0)

Collect run JSON

gh run view \x3Crun-id> --json databaseId,workflowName,event,conclusion,headBranch,headSha,createdAt,updatedAt,startedAt,url,repository \
  > artifacts/github-actions/run-\x3Crun-id>.json

Run

Text report:

RUN_GLOB='artifacts/github-actions/*.json' \
RECENT_RUNS=8 \
WARN_SPIKE_PCT=12 \
bash skills/github-actions-failure-spike-audit/scripts/failure-spike-audit.sh

JSON output + fail gate:

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

Run against bundled fixtures:

RUN_GLOB='skills/github-actions-failure-spike-audit/fixtures/*.json' \
bash skills/github-actions-failure-spike-audit/scripts/failure-spike-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 failure-rate spike groups
  • JSON mode prints summary + ranked groups + critical groups
Usage Guidance
This skill appears coherent and implements what it advertises: it reads local GitHub Actions run JSON files and reports failure-rate spikes. Before running it, confirm the RUN_GLOB path only matches the intended JSON artifacts (so you don't accidentally feed it unrelated local files). If you plan to use the SKILL.md's `gh run view` example, remember the GitHub CLI (gh) is not listed as a required binary and may need a GitHub token or login; that credential is for gh itself and is not requested by this skill. Finally, review the full script contents in your distribution (the provided file was partially shown) to ensure behavior and output formatting meet your needs.
Capability Analysis
Type: OpenClaw Skill Name: github-actions-failure-spike-audit Version: 1.0.0 The skill is designed to analyze GitHub Actions run data for failure rate spikes. It processes local JSON files, calculates failure statistics for recent versus baseline windows, and outputs a severity report. The implementation in scripts/failure-spike-audit.sh is transparent, performs basic input validation, and lacks any indicators of malicious intent such as data exfiltration, unauthorized network access, or prompt injection.
Capability Assessment
✓ Purpose & Capability
The skill claims to analyze GitHub Actions run JSON exports and the included script implements grouping, baseline/recent splits, failure-rate math, and reporting. Required binaries (bash, python3) are appropriate for the bundled shell+Python implementation.
ℹ Instruction Scope
Runtime instructions ask the user to collect run JSONs (example shows using the GitHub CLI `gh run view`) and then run the provided script against local JSON artifacts. The example references the `gh` CLI but `gh` is not listed as a required binary — this is a minor documentation mismatch (the script itself does not invoke `gh`). The script reads only files matched by RUN_GLOB and does not contact external endpoints.
✓ Install Mechanism
This is instruction-only (no install spec). The code is bundled as a shell script that runs an embedded Python program; nothing is downloaded or written during install.
✓ Credentials
No environment secrets or config paths are required. The script supports many optional environment variables for filtering and thresholds — these are proportionate to the skill's functionality and are not sensitive credentials. Note: if you use the `gh` CLI example to collect JSON, that CLI may require GitHub credentials (not part of this skill).
✓ Persistence & Privilege
The skill does not request persistent/global privileges, does not set always:true, and does not modify other skills or system settings. It runs on-demand against local artifact files.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install github-actions-failure-spike-audit
  3. After installation, invoke the skill by name or use /github-actions-failure-spike-audit
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release: detect workflow failure-rate spikes from recent vs baseline run windows with text/json outputs, regex filters, and fail gate.
Metadata
Slug github-actions-failure-spike-audit
Version 1.0.0
License —
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is GitHub Actions Failure Spike Audit?

Detect sudden GitHub Actions failure-rate spikes by workflow group using recent-vs-baseline run windows. It is an AI Agent Skill for Claude Code / OpenClaw, with 255 downloads so far.

How do I install GitHub Actions Failure Spike Audit?

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

Is GitHub Actions Failure Spike Audit free?

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

Which platforms does GitHub Actions Failure Spike Audit support?

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

Who created GitHub Actions Failure Spike Audit?

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

More Skills
self-improving agent
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
⬇ 463283 · by pskoett
Skill Vetter
Security-first skill vetting for AI agents. Use before installing any skill from ClawdHub, GitHub, or other sources. Checks for red flags, permission scope, and suspicious patterns.
⬇ 259410 · by spclaudehome
Polymarket
Query Polymarket prediction markets. Check odds, find trending markets, search events, track price movements.
⬇ 232503 · by joelchance
Self-Improving + Proactive Agent
Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...
⬇ 200423 · by ivangdavila
Github
Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.
⬇ 191115 · by steipete
ontology
Typed knowledge graph for structured agent memory and composable skills. Use when creating/querying entities (Person, Project, Task, Event, Document), linkin...
⬇ 190156 · by oswalpalash

💬 Comments