michel-monitor-pull-request-github-actions

michel-monitor-pull-request-github-actions is a skill for Claude Code, Codex from PackmindHub/packmind. It costs 97 tokens per session (2,478 once invoked), scanned A, original, Apache-2.0.

A guide for diagnosing failed, stuck, or missing GitHub Actions checks on a pull request. GitHub Actions is GitHub’s automated system for running tests and other checks.

In plain words
What is it for?
It helps inspect failed logs, apply a local fix when possible, push the change, and document failures, timeouts, or missing runs.
Why use it?
It helps identify why a check failed or never started and records the investigation in the pull request.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps inspect failed logs, apply a local fix when possible, push the change, and document failures, timeouts, or missing runs.

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Install with agentmods
npx agentmods add skills/packmindhub/packmind/michel-monitor-pull-request-github-actions
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 PackmindHub/packmind --skill michel-monitor-pull-request-github-actions
Clone the repo
git clone --depth 1 https://github.com/PackmindHub/packmind

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 michel-monitor-pull-request-github-actions

README.md
[![agentmods](https://agentmods.dev/badge/skills/packmindhub/packmind/michel-monitor-pull-request-github-actions/github.svg)](https://agentmods.dev/skills/packmindhub/packmind/michel-monitor-pull-request-github-actions)
Your own site
<a href="https://agentmods.dev/skills/packmindhub/packmind/michel-monitor-pull-request-github-actions"><img src="https://agentmods.dev/badge/skills/packmindhub/packmind/michel-monitor-pull-request-github-actions/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 michel-monitor-pull-request-github-actions

Your own site · 80×15
<a href="https://agentmods.dev/skills/packmindhub/packmind/michel-monitor-pull-request-github-actions"><img src="https://agentmods.dev/badge/skills/packmindhub/packmind/michel-monitor-pull-request-github-actions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 97 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,478 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 warn 7 Sept 2026
SkillSpector: 6 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Privilege Escalation · line 48
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Tool Misuse · line 127
    Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).
    Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
  • high Tool Misuse · line 127
    Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).
    Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
  • high Prompt Injection · line 134
    Hidden instructions were detected in comments or invisible text. These could contain malicious directives. Manual review is recommended.
    Fix: Audit all comments and invisible characters. Remove any instructions that direct the agent to perform unauthorized actions. Use plain, reviewable content.
  • medium Prompt Injection · line 33
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
  • medium Prompt Injection · line 66
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
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 $0.00097 $0.02478
Opus 5 $0.00048 $0.01239
Sonnet 5 $0.00019 $0.00496
Haiku 4.5 $0.00010 $0.00248

Measured 6d ago against content hash bc88480a3f7b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

michel-monitor-pull-request-github-actions 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 6d 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.

scripts/michel/michel-monitor-pull-request-github-actions/SKILL.md · 231 lines

How it starts

The opening of the file, as written. The whole thing — 231 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Monitor a pull request's GitHub Actions CI

Called during one iteration of the CI monitor loop. The harness prompt already contains everything needed to start:

  • {{CHECKS_JSON}} — snapshot of all check statuses at loop entry
  • {{REASON}}any_failure, stuck, or not_triggered
  • {{PR_NUMBER}}, {{BRANCH}}, {{WORKDIR}}, {{ITER}}, {{MAX_ITER}}

Decision flow

Read CHECKS_JSON in prompt
  → if REASON == "stuck":          document timeout in running comment → done
  → if REASON == "not_triggered":  investigate why CI never started, document → done
  → if REASON == "any_failure":
      1. Identify failing run(s) via gh run list
      2. Fetch failed logs with gh run view --log-failed
      3. Match pattern → apply fix locally
      4. Commit + push
      5. Create or update running comment
      (if unfixable: document reason → done, no push)

1. Classify — any_failure vs stuck

The bash outer loop has already classified the state; you are invoked only in these two cases:

{{REASON}} Meaning Action
any_failure At least one completed check has conclusion{failure, timed_out, cancelled, action_required} Diagnose and fix (sections 2–3)
stuck A workflow started but has been in-progress for >20 min Document timeout in running comment (section 5) — no code changes
not_triggered Zero checks ever registered for the whole monitoring window — CI never started Investigate why (section 5) and document — no code changes

conclusion values to recognise: success / failure / timed_out / cancelled / action_required / neutral / skipped / stale / null.

Read the full file on GitHub · 231 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. 6d ago First seen · 231 lines · 97 tokens per session scan A bc88480a3f7b

Subscribe to this mod's changes

michel-monitor-pull-request-github-actions is a skill published in the GitHub repository PackmindHub/packmind (310 stars, last pushed today), licensed Apache-2.0. It adds 97 tokens to every session and 2,478 once invoked, about $0.0005 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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