fixing-ci

fixing-ci is a skill for Claude Code, Codex from ReviewStage/stage-cli. It costs 36 tokens per session (964 once invoked), scanned A, original, MIT.

A workflow for finding and fixing failed GitHub Actions checks on a code branch. It guides you from reading the failure logs through local verification and commits.

In plain words
What is it for?
Use it to inspect failed CI runs, reproduce failures locally, make one focused commit per fix, run all checks, and push only after everything passes.
Why use it?
It helps separate root causes from follow-on errors and avoids repeatedly pushing code that still fails. Each fix is checked before the full test suite is run.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/reviewstage/stage-cli/fixing-ci
Any agent
npx skills add ReviewStage/stage-cli --skill fixing-ci
Clone the repo
git clone --depth 1 https://github.com/ReviewStage/stage-cli

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for fixing-ci

README.md
[![agentmods](https://agentmods.dev/badge/skills/reviewstage/stage-cli/fixing-ci.svg)](https://agentmods.dev/skills/reviewstage/stage-cli/fixing-ci)
Your own site
<a href="https://agentmods.dev/skills/reviewstage/stage-cli/fixing-ci"><img src="https://agentmods.dev/badge/skills/reviewstage/stage-cli/fixing-ci.svg" alt="Measured on agentmods" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 964 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00036 $0.00964
Opus 5 $0.00018 $0.00482
Sonnet 5 $0.00007 $0.00193
Haiku 4.5 $0.00004 $0.00096

Measured 4d ago against content hash 43ef23f43638, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

fixing-ci scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 4d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.agents/skills/fixing-ci/SKILL.md · 110 lines

How it starts

The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Fixing CI

Overview

Diagnose failing CI from GitHub logs, fix each issue with an atomic commit, and iterate locally until the full suite is green — then push once.

Principle: One fix, one commit. Never push until all checks pass locally.

Workflow

1. DIAGNOSE      → Pull failure logs from GitHub, list all failures
2. For each failure:
   a. REPRODUCE  → Run the failing check locally to confirm you see it
   b. FIX        → Fix root cause (not downstream symptoms)
   c. VERIFY FIX → Re-run the check to confirm it passes
   d. COMMIT     → Atomic commit for this fix
3. VERIFY ALL    → Run the full suite locally
   ↳ If anything fails → go back to step 2
   ↳ All green → proceed
4. PUSH          → Push all commits

Step 1: Diagnose

# See recent CI runs on current branch
gh run list --branch $(git branch --show-current) --limit 5

# View failing run (find run-id from above)
gh run view <run-id>

# Stream logs from only the failed steps
gh run view <run-id> --log-failed

Read top-to-bottom and list all distinct failures before fixing any of them. Find the first error in each job — not symptoms that cascade from it.

Step 2: Fix Loop (repeat per failure)

a. Reproduce

Check the project's AGENTS.md for exact commands. Common mappings:

CI Job Typical Local Command
Lint pnpm lint
Typecheck pnpm typecheck
Tests pnpm test
Build pnpm build

Run the failing check and confirm you see the same error locally before touching code.

b. Fix

  • Fix the root cause — lint errors often cascade from a single type error upstream
  • Don't fix just to silence the error; understand why it's wrong
  • If the fix is unclear, read the relevant library docs or AGENTS.md before guessing

c. Verify the Fix

Re-run the specific check to confirm it passes before committing.

d. Commit

Read the full file on GitHub · 110 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 4d ago First seen · 110 lines · 36 tokens per session scan A 43ef23f43638

Subscribe to this mod's changes

fixing-ci is a skill published in the GitHub repository ReviewStage/stage-cli (267 stars, last pushed 23d ago), licensed MIT. It adds 36 tokens to every session and 964 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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