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Agent skill

Requesting Code Review

by farm-fe in farm-fe/farm

A skill your agent uses when completing tasks, implementing major features, or before merging to verify work meets requirements

MITAuto-check passedDevelopment

Install Requesting Code Review

skills CLI
$ npx skills add farm-fe/farm --skill requesting-code-review -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install farm-fe/farm requesting-code-review --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/farm-fe/farm.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/requesting-code-review .claude/skills/requesting-code-review && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
requesting-code-review
GitHub stars
5.6k
Used in
37 other repos
Token cost
~702 tokens
SKILL.md length
238 words
Files
2
Skills in repo
20
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when completing tasks, implementing major features, or before merging to verify work meets requirements

  • Completing tasks
  • SKILL.md covers When to Request Review, How to Request, Example and Integration with Workflows, plus 1 more section
  • Calls git
  • Implementing major features

What it does

Requesting Code Review is an agent skill from farm-fe/farm. Use when completing tasks, implementing major features, or before merging to verify work meets requirements

Its SKILL.md is about 700 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `code-reviewer.md`).

It sits in Development, covering Code review. The repository describes itself as: Extremely fast Vite-compatible web build tool written in Rust. The licence is MIT.

When your agent uses it

  • Completing tasks
  • Implementing major features
  • Before merging to verify work meets requirements

Example prompts

  • “/requesting-code-review”

What it can do on your machine

Read from SKILL.md and the folder at commit 2000ef8. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • git

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Requesting Code Review loads about 702 tokens when it runs. Until then it costs about 33 tokens; SKILL.md has 238 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~33
When it runs · the whole SKILL.md, loaded when a task matches
~702

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from farm-fe/farm at commit 2000ef8, republished under its MIT licence (© farm-fe). 238 words, ~702 tokens.

Download SKILL.mdSave it as .claude/skills/requesting-code-review/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
requesting-code-review
description
Use when completing tasks, implementing major features, or before merging to verify work meets requirements

Requesting Code Review

Dispatch a code reviewer subagent to catch issues before they cascade. The reviewer gets precisely crafted context for evaluation — never your session's history. This keeps the reviewer focused on the work product, not your thought process, and preserves your own context for continued work.

Core principle: Review early, review often.

When to Request Review

Mandatory:

  • After each task in subagent-driven development
  • After completing major feature
  • Before merge to main

Optional but valuable:

  • When stuck (fresh perspective)
  • Before refactoring (baseline check)
  • After fixing complex bug

How to Request

1. Get git SHAs:

bash
BASE_SHA=$(git rev-parse HEAD~1)  # or origin/main
HEAD_SHA=$(git rev-parse HEAD)

2. Dispatch code reviewer subagent:

Use Task tool with general-purpose type, fill template at code-reviewer.md

Placeholders:

  • {DESCRIPTION} - Brief summary of what you built
  • {PLAN_OR_REQUIREMENTS} - What it should do
  • {BASE_SHA} - Starting commit
  • {HEAD_SHA} - Ending commit

3. Act on feedback:

  • Fix Critical issues immediately
  • Fix Important issues before proceeding
  • Note Minor issues for later
  • Push back if reviewer is wrong (with reasoning)

Example

[Just completed Task 2: Add verification function]

You: Let me request code review before proceeding.

BASE_SHA=$(git log --oneline | grep "Task 1" | head -1 | awk '{print $1}')
HEAD_SHA=$(git rev-parse HEAD)

[Dispatch code reviewer subagent]
  DESCRIPTION: Added verifyIndex() and repairIndex() with 4 issue types
  PLAN_OR_REQUIREMENTS: Task 2 from docs/superpowers/plans/deployment-plan.md
  BASE_SHA: a7981ec
  HEAD_SHA: 3df7661

[Subagent returns]:
  Strengths: Clean architecture, real tests
  Issues:
    Important: Missing progress indicators
    Minor: Magic number (100) for reporting interval
  Assessment: Ready to proceed

You: [Fix progress indicators]
[Continue to Task 3]

Integration with Workflows

Subagent-Driven Development:

  • Review after EACH task
  • Catch issues before they compound
  • Fix before moving to next task

Executing Plans:

  • Review after each task or at natural checkpoints
  • Get feedback, apply, continue

Ad-Hoc Development:

  • Review before merge
  • Review when stuck

Red Flags

Never:

  • Skip review because "it's simple"
  • Ignore Critical issues
  • Proceed with unfixed Important issues
  • Argue with valid technical feedback

If reviewer wrong:

  • Push back with technical reasoning
  • Show code/tests that prove it works
  • Request clarification

See template at: requesting-code-review/code-reviewer.md

© farm-fe, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in .agents/skills/requesting-code-review of farm-fe/farm.

  • SKILL.md
  • code-reviewer.md

Open the folder on GitHubat commit 2000ef8

Used in at least 29 other repositories

We found 68 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 37 other GitHub owners. This page covers the copy in farm-fe/farm, which our catalogue first saw on October 7, 2026.

…and 18 more copies not listed here.

Compare with similar skills

Requesting Code Review next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Requesting Code Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Requesting Code Review this skillfarm-fe/farm5.6k37 repos~702Automated safety check: PassMIT
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Code Review ChecklistshareAI-lab/learn-claude-code78k5 repos~1.1kAutomated safety check: PassMIT
Backend Code Reviewlangflow-ai/langflow156k—~3.5kAutomated safety check: NotesMIT
Understand Diff AnalysisEgonex-AI/Understand-Anything85k1 repos~1.4kAutomated safety check: PassMIT
Mole Bug Patternstw93/Mole69k—~2kAutomated safety check: PassGPL-3.0

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Categories

Questions about Requesting Code Review

What does Requesting Code Review do?

A skill your agent uses when completing tasks, implementing major features, or before merging to verify work meets requirements. Requesting Code Review is an agent skill from farm-fe/farm.

When should I use Requesting Code Review?

Requesting Code Review fits situations like: completing tasks; implementing major features; before merging to verify work meets requirements.

How do I install Requesting Code Review in Claude Code?

Run `npx skills add farm-fe/farm --skill requesting-code-review -a claude-code`. Or copy the skill folder (.agents/skills/requesting-code-review in farm-fe/farm) into .claude/skills/requesting-code-review in your project. Claude Code loads it when a task matches its description.

How do I install Requesting Code Review in Codex?

Run `npx skills add farm-fe/farm --skill requesting-code-review -a codex`. Or copy the skill folder (.agents/skills/requesting-code-review in farm-fe/farm) into .agents/skills/requesting-code-review in your project. Codex loads it when a task matches its description.

Can I use Requesting Code Review in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add farm-fe/farm --skill requesting-code-review -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/requesting-code-review, .gemini/skills/requesting-code-review, .github/skills/requesting-code-review and .opencode/skills/requesting-code-review in your project.

What does Requesting Code Review need to run?

Going by SKILL.md and its folder, Requesting Code Review needs the command-line tools its instructions call (git).

Does Requesting Code Review access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Requesting Code Review safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Requesting Code Review use?

Requesting Code Review is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Requesting Code Review use?

About 702 tokens (SKILL.md is roughly 2.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Requesting Code Review?

Skills that share tags, products or a category with Requesting Code Review: PR Babysitter (openinterpreter/openinterpreter, 69k stars), Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars), Backend Code Review (langflow-ai/langflow, 156k stars) and Understand Diff Analysis (Egonex-AI/Understand-Anything, 85k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Requesting Code Review?

farm-fe (a GitHub organization) maintains it in farm-fe/farm, which has 5,594 GitHub stars. The repository holds 20 skills in this directory. The repository was last updated on September 22, 2026.

Source: farm-fe/farm on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.