Install
$ agentstack add skill-wave-engineering-claudecode-workflow-jfail ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
CI Failure Analysis
Fetch and summarize a failed CI run without flooding the parent context. Works on GitHub Actions and GitLab CI — the tools normalize the platform.
Tools Used
mcp__sdlc-server__ci_run_status— resolvelatest(optionally on a branch) to a runmcp__sdlc-server__ci_failed_jobs— list failing jobs for a runmcp__sdlc-server__ci_run_logs— fetch failed-only log content (truncated) for a job
Arguments
{{#if args}} {{args}} — numeric run ID, latest, or latest . {{else}} No argument → default to latest on the current branch. {{/if}}
Step 1: Parse arguments
Decide mode: numeric run_id vs. latest (with optional branch). For bare latest, use git branch --show-current.
Step 2: Resolve run, find failed job, fetch logs
latestmode →ci_run_status({ref: }); if not a failure, stop and report. Numeric mode → use the given id.ci_failed_jobs({run_id}). If empty, report "no failed jobs" and stop. Pick the first failedjob_id.ci_run_logs({run_id, job_id, failed_only: true})→ returns normalized metadata (name, ref, url, conclusion, truncation) and log content as a string.
If any tool errors (invalid ID, wrong repo, 404), report and stop — no shell fallback, no guessing.
Step 3: Analyze with sub-agent
Launch a sub-agent (subagent_type: general-purpose, model: haiku) with the log content appended to the prompt. If content is very large (>200 KB), spill to /tmp/jfail--.out and pass the path instead — agent's judgment. Prompt:
> Analyze the CI failure log (appended / at the given path). The parent agent will only see your summary. > > 1. Strip ANSI codes ([0K, [36;1m, etc.). > 2. Classify as: test-failure / lint-error / build-error / dependency-error / deploy-error / infrastructure / script-error / unknown. > 3. Extract error sections (contiguous blocks with context). ≤30 lines → full; >30 → first 15 + last 15 with ... [N lines omitted] .... > 4. Extract actionable details — file:line, failing test names, exact failing command, exit codes. > 5. Return exactly: > `` > CLASSIFICATION: > SUMMARY: > ERROR SECTIONS: > --- > > --- > ACTIONABLE: > - > `` > > Skip setup/cache/install noise unless directly relevant.
Step 4: Present results
Using the metadata from ci_run_logs, show **Workflow/Job:** — [link]() and **Ref:** | **Conclusion:** , then the sub-agent's CLASSIFICATION / SUMMARY / ERROR SECTIONS / ACTIONABLE. If ci_run_logs reports truncation, append > Logs truncated by ci_run_logs. If spilled to a file, append > Full log: /tmp/jfail--.out.
Important
- Sub-agent does the heavy reading; parent stays clean.
model: haiku— summarization, not reasoning. - Tool failure → report and stop. No shell fallback.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: Wave-Engineering
- Source: Wave-Engineering/claudecode-workflow
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.