agentic-coding-playbook: Skill for Claude Code

.agents/skills/code-review/SKILL.md

code-review is a skill for Claude Code, Codex from GSA-TTS/agentic-coding-playbook. It costs 16 tokens per session (2,332 once invoked), scanned A, original, CC0-1.0.

A workflow for reviewing code changed with AI and preparing a compliant pull request. It includes running tests and code checks, scanning for secrets, and following project standards.

In plain words
What is it for?
Use it to review AI-generated changes, run the project's checks, investigate secrets, and prepare a pull request after a feature or bug fix.
Why use it?
It catches broken code, quality problems, and accidentally exposed credentials before changes are merged.

Skill for Claude CodeCodex

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

This is GSA-TTS/agentic-coding-playbook's own configuration. It tells Claude Code and Codex how to work on agentic-coding-playbook 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 agentic-coding-playbook configures →

Reuse

Borrowing it

Nothing to install: this file belongs to GSA-TTS/agentic-coding-playbook. 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/GSA-TTS/agentic-coding-playbook/main/.agents/skills/code-review/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/GSA-TTS/agentic-coding-playbook

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 code-review

README.md
[![agentmods](https://agentmods.dev/badge/skills/gsa-tts/agentic-coding-playbook/code-review/github.svg)](https://agentmods.dev/skills/gsa-tts/agentic-coding-playbook/code-review)
Your own site
<a href="https://agentmods.dev/skills/gsa-tts/agentic-coding-playbook/code-review"><img src="https://agentmods.dev/badge/skills/gsa-tts/agentic-coding-playbook/code-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 code-review

Your own site · 80×15
<a href="https://agentmods.dev/skills/gsa-tts/agentic-coding-playbook/code-review"><img src="https://agentmods.dev/badge/skills/gsa-tts/agentic-coding-playbook/code-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 16 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,332 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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 $0.00016 $0.02332
Opus 5.5 $0.00006 $0.00933
Sonnet 5.5 $0.00003 $0.00466
Haiku 4.5 $0.00002 $0.00233

Measured 13d ago against content hash 6e5c36beed9c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

code-review scanned grade A with 1 finding 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 13d 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.

Runs shell commandslowCapability

Expected in a hook, worth knowing in a rule or an instructions file.

| 5.5 | No eval/exec with external data | No `eval()`, `exec()`, `Function()`, `child_process.exec(untrusted)` |
.agents/skills/code-review/SKILL.md · 222 lines

How it starts

The opening of the file, as written. The whole thing — 222 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Code Review and PR Workflow

Review AI-assisted code changes and create compliant pull requests.

Context loading: When writing code, load docs/CODING_STANDARDS_COMPACT.md (~500 words). When reviewing code, load the full docs/CODING_PRACTICES.md (~4,100 words). This skill references both.

Path Kind Notes
docs/CODING_STANDARDS_COMPACT.md playbook-source See AGENTS.md §13.1a if not found at this relative path.
docs/CODING_PRACTICES.md playbook-source Referenced throughout, incl. Steps 1 and 4. See AGENTS.md §13.1a if not found at this relative path.

When to Use

  • Before creating a pull request with AI-assisted changes
  • When reviewing code that an AI agent generated or modified
  • When a user asks "review this code" or "create a PR"
  • After completing a feature or bug fix, before merge

Step 1: Pre-PR Checks

Run automated checks before creating the PR. Fix all failures before proceeding.

1.1 Linter, Formatter, and Tests

Run the project's linter and full test suite. Detect the toolchain from config files (e.g., npm run lint && npm test, ruff check . && pytest, go vet ./... && go test ./...). All tests MUST pass before proceeding. If no linter is configured, flag this as a gap.

1.2 Secrets Scan

Run gitleaks detect --no-git -v (or grep the diff for key/secret/token/password patterns as a fallback). Any match MUST be investigated and real secrets removed immediately. See docs/CODING_PRACTICES.md Section 4.

1.3 Size and Complexity

Verify the changes respect project limits (per docs/CODING_PRACTICES.md Section 13.3):

  • Functions: 50 lines or fewer
  • Files: 400 lines or fewer (400-600 acceptable with justification)
  • Cyclomatic complexity: 10 or fewer per function
  • Parameters: 5 or fewer per function

Flag violations in the PR description with justification if they are intentional.

1.4 Comment Content

Re-read every comment the change added or touched. Review comments matching one of these patterns (docs/CODING_PRACTICES.md Section 13.6, full rule at AGENTS.md Section 15.6.1):

Read the full file on GitHub · 222 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. 13d ago Changed · +27 lines 6e5c36beed9c
  2. 1mo ago Changed · +5 lines eee031503c6d
  3. 1mo ago First seen · 190 lines · 16 tokens per session scan A c4b61b803239

Subscribe to this mod's changes

code-review is a skill published in the GitHub repository GSA-TTS/agentic-coding-playbook (37 stars, last pushed yesterday), licensed CC0-1.0. It adds 16 tokens to every session and 2,332 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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