fallow: Skill for Claude Code

.agents/skills/github-action-review/SKILL.md

github-action-review is a skill for Claude Code, Codex from fallow-rs/fallow. It costs 48 tokens per session (146 once invoked), scanned A, original, MIT.

A review checklist for GitHub Actions, the automated workflows that run tasks such as tests and checks when code changes. It focuses on shell scripts, JSON filtering, review messages, and workflow behavior.

In plain words
What is it for?
Use it when changing an action, its configuration, shell or jq code, review formatting, or related tests. The review ends with an approval, concern, or block decision.
Why use it?
It helps catch unsafe scripts, fragile data handling, incorrect review annotations, and repeated comments before they affect a project’s automation.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is fallow-rs/fallow's own configuration. It tells Claude Code and Codex how to work on fallow itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything fallow configures →

About the project

Fallow is a command-line static-analysis tool that builds a dependency graph of TypeScript and JavaScript code to identify unused code, duplication, circular dependencies, complexity hotspots, boundary violations, and styling drift. It is for developers reviewing codebases and verifying changes, with catalogue entries that add agent, editor, and workflow integrations.

fallow-rs/fallow · 5,139 stars · on GitHub · docs.fallow.tools

Reuse

Borrowing it

Nothing to install: this file belongs to fallow-rs/fallow. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/fallow-rs/fallow/main/.agents/skills/github-action-review/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/fallow-rs/fallow

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 github-action-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/fallow-rs/fallow/github-action-review/github.svg)](https://agentmods.dev/skills/fallow-rs/fallow/github-action-review)
Your own site
<a href="https://agentmods.dev/skills/fallow-rs/fallow/github-action-review"><img src="https://agentmods.dev/badge/skills/fallow-rs/fallow/github-action-review/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 github-action-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/fallow-rs/fallow/github-action-review"><img src="https://agentmods.dev/badge/skills/fallow-rs/fallow/github-action-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 146 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 $0.00048 $0.00146
Opus 5.5 $0.00019 $0.00058
Sonnet 5.5 $0.00010 $0.00029
Haiku 4.5 $0.00005 $0.00015

Measured 1mo ago against content hash 594ca0ca176e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

github-action-review 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 1mo 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/github-action-review/SKILL.md · 22 lines

What it actually says

GitHub Action Review

Read:

  • .agents/agents/ci-integration-reviewer.md
  • .agents/rules/testing.md

Review the actual changed scripts, jq filters, action definition, and tests.

Prioritize:

  • shell safety
  • token handling
  • jq robustness on empty and malformed data
  • annotation/comment correctness
  • idempotent PR behavior

End with APPROVE, CONCERN, or BLOCK.

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. 1mo ago Changed 594ca0ca176e
  2. 1mo ago First seen · 22 lines · 48 tokens per session scan A 974184921c90

Subscribe to this mod's changes

github-action-review is a skill published in the GitHub repository fallow-rs/fallow (5,139 stars, last pushed today), licensed MIT. It adds 48 tokens to every session and 146 once invoked, about $0.0002 per session on Opus 5.5. 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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