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.
npx skills add vadimcomanescu/codex-skills --skill gh-fix-cigit clone --depth 1 https://github.com/vadimcomanescu/codex-skillsWrote 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.
[](https://agentmods.dev/skills/vadimcomanescu/codex-skills/gh-fix-ci)<a href="https://agentmods.dev/skills/vadimcomanescu/codex-skills/gh-fix-ci"><img src="https://agentmods.dev/badge/skills/vadimcomanescu/codex-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.
<a href="https://agentmods.dev/skills/vadimcomanescu/codex-skills/gh-fix-ci"><img src="https://agentmods.dev/badge/skills/vadimcomanescu/codex-skills/gh-fix-ci.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00083 | $0.00950 |
| Opus 5 | $0.00042 | $0.00475 |
| Sonnet 5 | $0.00017 | $0.00190 |
| Haiku 4.5 | $0.00008 | $0.00095 |
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 10d 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.
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.
- Depends on the
planskill for drafting and approving the fix plan.
Prereq: ensure gh is authenticated (for example, run gh auth login once), then run gh auth status with escalated permissions (include workflow/repo scopes) so gh commands succeed. If sandboxing blocks gh auth status, rerun it with sandbox_permissions=require_escalated.
Inputs
repo: path inside the repo (default.)pr: PR number or URL (optional; defaults to current branch PR)ghauthentication for the repo host
Quick start
python "<path-to-skill>/scripts/inspect_pr_checks.py" --repo "." --pr "<number-or-url>"- Add
--jsonif you want machine-friendly output for summarization.
Workflow
- Verify gh authentication.
- Run
gh auth statusin the repo with escalated scopes (workflow/repo) after runninggh auth login. - If sandboxed auth status fails, rerun the command with
sandbox_permissions=require_escalatedto allow network/keyring access. - If unauthenticated, ask the user to log in before proceeding.
- Run
- 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.
- Prefer the current branch PR:
- 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
--jsonfor 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.
- If a field is rejected, rerun with the available fields reported by
- For each failing check, extract the run id from
detailsUrland run:gh run view <run_id> --json name,workflowName,conclusion,status,url,event,headBranch,headShagh 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>"
- Preferred: run the bundled script (handles gh field drift and job-log fallbacks):
- Scope non-GitHub Actions checks.
- If
detailsUrlis 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.
- If
- Summarize failures for the user.
- Provide the failing check name, run URL (if any), and a concise log snippet.
- Call out missing logs explicitly.
- Create a plan.
- Use the
planskill to draft a concise plan and request approval.
- Use the
- Implement after approval.
- Apply the approved plan, summarize diffs/tests, and ask about opening a PR.
- Recheck status.
- After changes, suggest re-running the relevant tests and
gh pr checksto confirm.
- After changes, suggest re-running the relevant tests and
What ships with it
1 file 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.
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.
- 10d ago First seen · 70 lines · 83 tokens per session scan A 736c9b0214f1
gh-fix-ci is a skill published in the GitHub repository vadimcomanescu/codex-skills (24 stars, last pushed 7mo ago), licensed MIT. It adds 83 tokens to every session and 950 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 2026-08-30.
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