requesting-code-review

A code-review workflow intended for a separate subagent after implementation, during major feature work, or after test-driven development (TDD), where tests are written before or alongside code.

In plain words
What is it for?
Reviewing finished tasks, major features, and TDD implementations before they enter the main codebase.
Why use it?
It provides a review step to check whether completed work meets its requirements before merging.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/burugo/behavior-driven-development/requesting-code-review
Any agent
npx skills add burugo/behavior-driven-development --skill requesting-code-review
Clone the repo
git clone --depth 1 https://github.com/burugo/behavior-driven-development

Made for: Claude Code, Codex.

Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 696 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown 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 $0.00033 $0.00696
Opus 5 $0.00016 $0.00348
Sonnet 5 $0.00007 $0.00139
Haiku 4.5 $0.00003 $0.00070

Measured yesterday against content hash 9f4eddb67cfb, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

requesting-code-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 yesterday.

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.

skills/requesting-code-review/SKILL.md · 106 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

1 file 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.

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. yesterday First seen · 106 lines · 33 tokens per session scan A 9f4eddb67cfb

Subscribe to this mod's changes

requesting-code-review is a skill published in the GitHub repository burugo/behavior-driven-development (5 stars, last pushed 3mo ago), with no licence file. It adds 33 tokens to every session and 696 once invoked, about $0.0002 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 2026-08-31.

Related

Other skills, from other repositories

superpowers-zh

Use when constraining AI coding with Chinese TDD methodology, systematic debugging, code review, and verification workflows. Superpowers-zh: Chinese adaptation of the Superpowers AI-assisted programming skills and methodologies.

znlgis/opengis-skills · 45 tokens

test-driven-development

TDD workflow — Red, Green, Refactor cycle with practical examples.

furkangonel/cowrangler · 19 tokens

Hammock

Deep design and planning methodology based on Rich Hickey's Hammock Driven Development. Use when: designing new features, investigating complex bugs, making architecture decisions, planning refactors, or when user says "design this", "plan this", "think through", "let's think deeply about", "hammock time". Guides…

adrianleb/hammock-skill · 87 tokens

plan

基于 spec.md 生成 TDD 驱动的里程碑实施计划。当用户说"生成计划""制定计划""plan""拆分任务""规划里程碑"时使用此技能。分析规格说明,拆分为里程碑,输出到 milestones.json,投影生成 plan.md 供人工审阅。.

IronRookieCoder/auto-pilot · 72 tokens

run

一键启动全流程编排。当用户说"一键执行""全自动""run""启动工作流""从头开始""自动完成"时使用此技能。自动检测当前工作流状态,从断点继续或从头开始,依次执行 init → plan → execute 全流程。支持中断恢复。两个人工门禁:spec 确认和 plan 确认。.

IronRookieCoder/auto-pilot · 87 tokens

execute

TDD 驱动的逐里程碑执行。当用户说"开始执行""执行计划""execute""实现""开始编码""继续执行"时使用此技能。读取 milestones.json 中的里程碑顺序,以"写测试→实现→验证"的 TDD 循环逐个完成,更新结构化状态文件。.

IronRookieCoder/auto-pilot · 73 tokens