gh-fix-ci

gh-fix-ci is a skill for Codex from foryourhealth111-pixel/Vibe-Skills. It costs 72 tokens per session (898 once invoked), scanned A, original, Apache-2.0.

A workflow for investigating failing checks on GitHub pull requests when those checks run in GitHub Actions. It gathers the logs, explains the failure context, and prepares a possible fix for approval.

In plain words
What is it for?
Use it to inspect failed CI checks, summarize actionable errors, draft a repair plan, and implement the fix after approval.
Why use it?
It saves time spent locating the right pull request, check, and log output. It also keeps diagnosis separate from making an unapproved code change.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it to inspect failed CI checks, summarize actionable errors, draft a repair plan, and implement the fix after approval.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/foryourhealth111-pixel/vibe-skills/gh-fix-ci
About the project

Vibe-Skills is a collection and routing system that helps AI agents discover, select, and coordinate specialized skills for completing tasks. It is intended for agents that need to organize workflows across many installed capabilities. The catalogue entries are skills and an agent belonging to this system.

foryourhealth111-pixel/Vibe-Skills · 3,252 stars · on GitHub

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.

Any agent
npx skills add foryourhealth111-pixel/Vibe-Skills --skill gh-fix-ci
Clone the repo
git clone --depth 1 https://github.com/foryourhealth111-pixel/Vibe-Skills

Made for: 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 gh-fix-ci

README.md
[![agentmods](https://agentmods.dev/badge/skills/foryourhealth111-pixel/vibe-skills/gh-fix-ci/github.svg)](https://agentmods.dev/skills/foryourhealth111-pixel/vibe-skills/gh-fix-ci)
Your own site
<a href="https://agentmods.dev/skills/foryourhealth111-pixel/vibe-skills/gh-fix-ci"><img src="https://agentmods.dev/badge/skills/foryourhealth111-pixel/vibe-skills/gh-fix-ci/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for gh-fix-ci

Your own site · 80×15
<a href="https://agentmods.dev/skills/foryourhealth111-pixel/vibe-skills/gh-fix-ci"><img src="https://agentmods.dev/badge/skills/foryourhealth111-pixel/vibe-skills/gh-fix-ci.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 898 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00072 $0.00898
Opus 5 $0.00036 $0.00449
Sonnet 5 $0.00014 $0.00180
Haiku 4.5 $0.00007 $0.00090

Measured 9d ago against content hash 7b326b4a2f0f, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

gh-fix-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 9d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/inspect_pr_checks.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

Copies of this mod

5 near-identical copies found in the catalogue:

bundled/skills/gh-fix-ci/SKILL.md · 70 lines

How it starts

The opening of the file, as written. The whole thing — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Gh Pr Checks Plan Fix

Overview

Use gh to locate failing PR checks, fetch GitHub Actions logs for actionable failures, summarize the failure snippet, then propose a fix plan and implement after explicit approval.

  • If a plan-oriented skill (for example create-plan) is available, use it; otherwise draft a concise plan inline and request approval before implementing.

Prereq: authenticate with the standard GitHub CLI once (for example, run gh auth login), then confirm with gh auth status (repo + workflow scopes are typically required).

Inputs

  • repo: path inside the repo (default .)
  • pr: PR number or URL (optional; defaults to current branch PR)
  • gh authentication for the repo host

Quick start

  • python "<path-to-skill>/scripts/inspect_pr_checks.py" --repo "." --pr "<number-or-url>"
  • Add --json if you want machine-friendly output for summarization.

Workflow

  1. Verify gh authentication.
    • Run gh auth status in the repo.
    • If unauthenticated, ask the user to run gh auth login (ensuring repo + workflow scopes) before proceeding.
  2. Resolve the PR.
    • Prefer the current branch PR: gh pr view --json number,url.
    • If the user provides a PR number or URL, use that directly.
  3. Inspect failing checks (GitHub Actions only).
    • Preferred: run the bundled script (handles gh field drift and job-log fallbacks):
      • python "<path-to-skill>/scripts/inspect_pr_checks.py" --repo "." --pr "<number-or-url>"
      • Add --json for machine-friendly output.
    • Manual fallback:
      • gh pr checks <pr> --json name,state,bucket,link,startedAt,completedAt,workflow
        • If a field is rejected, rerun with the available fields reported by gh.
      • For each failing check, extract the run id from detailsUrl and run:
        • gh run view <run_id> --json name,workflowName,conclusion,status,url,event,headBranch,headSha
        • gh run view <run_id> --log
      • If the run log says it is still in progress, fetch job logs directly:
        • gh api "/repos/<owner>/<repo>/actions/jobs/<job_id>/logs" > "<path>"
  4. Scope non-GitHub Actions checks.
    • If detailsUrl is not a GitHub Actions run, label it as external and only report the URL.
    • Do not attempt Buildkite or other providers; keep the workflow lean.
  5. Summarize failures for the user.
    • Provide the failing check name, run URL (if any), and a concise log snippet.
    • Call out missing logs explicitly.
  6. Create a plan.
    • Use the create-plan skill to draft a concise plan and request approval.
  7. Implement after approval.
    • Apply the approved plan, summarize diffs/tests, and ask about opening a PR.
  8. Recheck status.
    • After changes, suggest re-running the relevant tests and gh pr checks to confirm.

Read the full file on GitHub · 70 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 9d ago First seen · 70 lines · 72 tokens per session scan A 7b326b4a2f0f

Subscribe to this mod's changes

gh-fix-ci is a skill published in the GitHub repository foryourhealth111-pixel/Vibe-Skills (3,252 stars, last pushed 12d ago), licensed Apache-2.0. It adds 72 tokens to every session and 898 once invoked, about $0.0004 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 2026-09-03.