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 fanfan-de/anybox --skill gh-fix-cigit clone --depth 1 https://github.com/fanfan-de/anyboxWrote 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/fanfan-de/anybox/gh-fix-ci)<a href="https://agentmods.dev/skills/fanfan-de/anybox/gh-fix-ci"><img src="https://agentmods.dev/badge/skills/fanfan-de/anybox/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/fanfan-de/anybox/gh-fix-ci"><img src="https://agentmods.dev/badge/skills/fanfan-de/anybox/gh-fix-ci.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00058 | $0.01028 |
| Opus 5 | $0.00029 | $0.00514 |
| Sonnet 5 | $0.00012 | $0.00206 |
| Haiku 4.5 | $0.00006 | $0.00103 |
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.
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 — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GitHub Actions CI Fix
Overview
Use this skill when the task is specifically about failing GitHub Actions checks on a pull request. This workflow is hybrid by design:
- Use the GitHub app from this plugin for PR metadata, changed files, and review context.
- Use
ghfor GitHub Actions checks and logs because the connector does not expose that workflow end to end. - Summarize the root cause first, propose a focused fix plan, and implement only after explicit approval.
Prereq: authenticate with GitHub CLI once, then confirm with gh auth status. Repo and workflow scopes are typically required for Actions inspection.
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. - If unauthenticated, ask the user to run
gh auth login(ensuring repo + workflow scopes) before proceeding.
- Run
- Resolve the PR.
- If the user provides a PR number or URL, use that directly.
- Otherwise prefer the current branch PR with
gh pr view --json number,url. - When repo and PR are known, fetch PR metadata and patch context through the GitHub app from this plugin.
- 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 and do not over-claim certainty.
- Propose a focused fix plan and wait for approval.
- Keep the plan tied directly to the failing checks and the observed root cause.
- Implement after approval.
- Apply the approved fix locally.
- Run the most relevant local verification available.
- Recheck status and summarize residual risk.
- Suggest re-running the relevant tests and
gh pr checks. - Report what is still unverified, what may still be flaky, and whether any failing checks were external and therefore not actionable here.
- Suggest re-running the relevant tests and
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.
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.
- 9d ago First seen · 82 lines · 58 tokens per session scan A 7621a3560d78
gh-fix-ci is a skill published in the GitHub repository fanfan-de/anybox (57 stars, last pushed 1mo ago), licensed MIT. It adds 58 tokens to every session and 1,028 once invoked, about $0.0003 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.
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