Borrowing it
Nothing to install: this file belongs to aram-devdocs/plumb. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/aram-devdocs/plumb/main/.agents/skills/gh-review/SKILL.mdgit clone --depth 1 https://github.com/aram-devdocs/plumbWrote 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/aram-devdocs/plumb/gh-review)<a href="https://agentmods.dev/skills/aram-devdocs/plumb/gh-review"><img src="https://agentmods.dev/badge/skills/aram-devdocs/plumb/gh-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.
<a href="https://agentmods.dev/skills/aram-devdocs/plumb/gh-review"><img src="https://agentmods.dev/badge/skills/aram-devdocs/plumb/gh-review.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 | $0.00063 | $0.00918 |
| Opus 5.5 | $0.00025 | $0.00367 |
| Sonnet 5.5 | $0.00013 | $0.00184 |
| Haiku 4.5 | $0.00006 | $0.00092 |
Grade A, and why
gh-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 2mo 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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/gh-review — local PR review for Plumb
Run the same review shape used by the GitHub review workflow, but locally and in dry-run mode by default. Target repo: aram-devdocs/plumb.
Usage
/gh-review 42
/gh-review 42 --instructions "focus on new MCP tool schema"
/gh-review --local-diff main...HEAD
/gh-review --local-diff HEAD~3..HEAD --instructions "check docs tone"
Inputs
- PR mode: review an existing GitHub PR by number.
- Local diff mode: review an unpublished or pre-PR diff range.
- Optional instructions: extra reviewer focus areas.
Workflow
- Read
AGENTS.mdand every scopedcrates/*/AGENTS.mdfor touched crates. - Mirror
.github/workflows/claude-code-review.yml— same rules, same verdict format. - Gather review context:
python3 .agents/skills/gh-review/scripts/gh_review.py --pr <number> python3 .agents/skills/gh-review/scripts/gh_review.py --local-diff main...HEAD - Inspect high-risk files manually:
plumb-cdpchanges need a security pass (unsafe + CDP surface).plumb-mcpchanges need a security pass (agent-exposed tool surface).- Dependency changes need a cargo-deny pass.
- Config/schema changes need a
cargo xtask pre-releasepass.
- Draft the review body using
.agents/skills/gh-review/assets/review-template.md. - Only post with
--postafter confirming the draft is accurate.
Review contract
- File buckets:
plumb-core,plumb-format,plumb-cdp,plumb-config,plumb-mcp,plumb-cli,xtask,docs,ci,deps. - Blockers and warnings follow
references/workflow-contract.md. - Output ends with exactly one verdict:
Verdict: APPROVEVerdict: REQUEST_CHANGESVerdict: BLOCK
Output
Default output is markdown to stdout. Optional flags:
python3 .agents/skills/gh-review/scripts/gh_review.py --pr <number> --output /tmp/review.md
python3 .agents/skills/gh-review/scripts/gh_review.py --pr <number> --post
Rules
- Dry run is the default. Never post comments automatically.
- Use the exact section order from the GitHub workflow template.
- Blocker-class findings (Rust):
- New
unsafeoutsideplumb-cdp. - New
unwrap/expect/panic!in a library crate. - New
println!/eprintln!outsideplumb-cli. - New
SystemTime::now/Instant::now/std::env::temp_dirinplumb-core. - New
todo!/unimplemented!/dbg!anywhere. - New
HashMap/HashSetin observable output paths (preferIndexMap). - New dep with GPL/AGPL/LGPL license (cargo-deny will catch; surface in review).
- Rule added without a golden test +
register_builtinentry +docs/src/rules/page. - MCP tool added without a protocol test in
crates/plumb-cli/tests/mcp_stdio.rs. - Config schema changed without
cargo xtask schemaupdate committed. - Binary size regression ≥ 25 MiB (the CI size-guard job would fail).
- New
- If
docs/src/**changed, run the humanizer skill before approving. - For
plumb-cdporplumb-mcpchanges, add explicit security commentary even if verdict is clean.
What ships with it
4 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.
- 2mo ago First seen · 79 lines · 63 tokens per session scan A f9e514a98bb2
gh-review is a skill published in the GitHub repository aram-devdocs/plumb (3 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 63 tokens to every session and 918 once invoked, about $0.0003 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 2026-08-31.
Other skills, from other repositories
extract-design
Extract the full design language from any website URL. Produces 8 output files including AI-optimized markdown, visual HTML preview, Tailwind config, React theme, shadcn/ui theme, Figma variables, W3C design tokens, and CSS variables. Also runs WCAG accessibility scoring. Use when user says 'extract design', 'get…
designlang-tokens
Use when styling UI for cal.com — references the extracted design system tokens instead of inventing colors, spacing, or typography.
design-md-extractor
Extract and document the visual style of public websites as reusable DESIGN.md files. Use when the user asks to analyze a website's design system, extract styles, create design tokens, produce DESIGN.md, generate an agent-readable style guide, or build from a website's visual language.
ss-learn
Capture a human-approved UI design lesson as a privacy-minimized local StyleSeed candidate, review it, and prepare an opt-in share package without transmitting project code, prompts, screenshots, or brand data. Use when a person asks StyleSeed to remember, learn from, generalize, review, or prepare a reusable rule…
omd-apply
A skill that applies a project's DESIGN.md file as visual and brand guidance for interface work. It covers components, colors, fonts, layout, copy, motion, and visual assets.
bench-fixture-gen
Generates the shared per-task fixture that every competing arm starts from: a realistic dataset plus an image asset base. Fairness rule: fixtures are generated ONCE per task by this preprocessor and sealed (sha256) before any arm runs; arms never generate their own.