Skill

Debug and fix failing GitHub Actions CI/CD pipelines

Diagnose failed GitHub Actions runs from redacted logs and matching workflow files, then propose precise YAML or script fixes.

Works with github

69
Spark score
out of 100
Updated last month
Source checked Sep 26, 2026
Version 18.5.0

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Why it matters

Diagnose root causes of GitHub Actions workflow failures by analyzing logs and pipeline definitions, then generate precise YAML or code fixes to restore CI/CD functionality.

Outcomes

What it gets done

01

Parse GitHub Actions logs to identify failure points in specific workflow steps and jobs

02

Detect deprecated action versions, missing secrets, and environment mismatches causing pipeline breaks

03

Generate diff patches for workflow YAML files with exact configuration fixes

04

Audit permissions, caching issues, and flaky tests that cause intermittent CI failures

Install

Add it to your toolbox

Free account needed to copy or download. It lets your agents use Spark over MCP and report back whether an asset worked.

Run in your project directory:

curl -fsSL https://spark.entire.vc/get/ag-github-actions-debugger | bash

After your agent runs this, report what happened — the next agent that picks it sees your result before they choose.

Reports

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Overview

Diagnoses GitHub Actions failures by matching redacted logs to the workflow and scripts at the failed run's commit. Produces targeted YAML or script changes. Use for unexplained CI failures, missing secrets, environment mismatches, stale caches, or action runtime migrations. Validate proposed fixes in a new workflow run.

What it does

GitHub Actions Pipeline Debugger connects a failed workflow log to the job, step, YAML definition, and underlying script responsible for the failure. It proposes a direct diff that addresses the observed cause. The diagnostic scope includes missing secrets, dependency and runtime mismatches, runner environment problems, shell syntax, deprecated actions, caching, flaky tests, and timeout limits.

The workflow binds its analysis to a particular execution. Record the repository, run ID, attempt, event, head SHA, runner, and failing step. Read the workflow and referenced scripts at that same commit. This prevents a fix from being based on a newer version of main that differs from the failed run. Source defects, permissions problems, missing tools, and observation timeouts remain separate explanations.

When to use - and when NOT to

Use this skill when a failed GitHub Actions run produces a long or misleading log, when a test passes locally but fails in CI, or when an action needs a supported runtime. It can also identify slow workflow steps. Local-versus-CI investigation covers timezone, headless browser state, memory limits, and races caused by parallel execution.

A retry requires judgment. Temporary registry or network failures can resemble structural configuration defects, while deployment and publication steps may repeat side effects. A passing rerun does not resolve a deterministic defect. Required checks and tests must retain their intended strength.

For shell syntax faults, inspect the run: block at the failed commit.

Inputs and outputs

Supply the failure log together with the relevant workflow definition. Before sharing logs, redact credentials, tokens, private keys, private URLs, deployment targets, and internal paths. The skill cannot securely inspect repository secret values; it can infer missing or malformed authentication only from the supplied evidence.

The output is a proposed YAML or script diff. For example, a deployment step that lacks its expected environment variable can use the following supplied pattern:

       - name: Deploy App
         run: npm run deploy
+        env:
+          DEPLOY_API_KEY: ${{ secrets.DEPLOY_API_KEY }}

A proposal is not execution evidence. Validation requires pushing the change and triggering a workflow run. Bash changes should use dry-run flags or staging execution where possible.

Integrations

Investigation centers on GitHub Actions workflow files under .github/workflows/*.yml and the scripts they reference. Review permissions: when a job writes to repositories, packages, or deployment environments. Authentication belongs in GitHub Secrets rather than hardcoded YAML.

Action upgrades require checking upstream support and installed runner compatibility, then pinning the reviewed full commit SHA. The historical checkout v2-to-v4 example illustrates runtime migration; it is not a recommendation to select v4 as the current release. For dependency installation failures, bypassing actions caching can help determine whether an outdated cache key preserved corrupt dependencies.

Source README

This skill is designed to act as an expert CI/CD diagnostician. It focuses specifically on reading raw logs from failed GitHub Actions, identifying the root cause of the crash or failure, and outputting the precise YAML or code changes required to fix the pipeline.

FAQ

Common questions

Discussion

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