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Agent skill

Review Changes

by AgiFlow in AgiFlow/aicode-toolkit

Review changes against file-specific toolkit rules. An agent skill from AgiFlow/aicode-toolkit.

AGPL-3.0Auto-check passedDevelopment

Install Review Changes

skills CLI
$ npx skills add AgiFlow/aicode-toolkit --skill review-changes -a claude-code

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

GitHub CLI
$ gh skill install AgiFlow/aicode-toolkit review-changes --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/AgiFlow/aicode-toolkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/aicode-review/skills/review-changes .claude/skills/review-changes && 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
review-changes
GitHub stars
161
Token cost
~322 tokens
SKILL.md length
147 words
Files
1
Skills in repo
9
Repo updated
First seen
Licence
AGPL-3.0

At a glance

Review changes against file-specific toolkit rules. An agent skill from AgiFlow/aicode-toolkit.

  • Works in 4 steps: Identify changed files and the consumer… → Compare actual source and diff against… → Report findings with file/line,… → …
  • Code-review and quality-check requests
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • The user asks to generate a project

What it does

Review Changes is an agent skill from AgiFlow/aicode-toolkit. Review changes against file-specific toolkit rules. Trigger for code-review and quality-check requests. Do not trigger when the user asks to generate a project or author coding rules.

Its SKILL.md is about 320 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Development, covering Code review. The repository describes itself as: Toolkit for Coding Agents to work reliably with repo of any size. The licence is AGPL-3.0.

When your agent uses it

  • Code-review and quality-check requests
  • The user asks to generate a project
  • Author coding rules

Example prompts

  • “/review-changes”

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Identify changed files and the consumer workspace. For each file call review-code-change with { "file_path": "..." } and inspect its full…
  2. Compare actual source and diff against the applicable rules yourself. An unconfigured backend returns rules for host-agent review with…
  3. Report findings with file/line, severity, specific rule, evidence and suggested correction. Explicitly state when rules were missing or a…
  4. Propose fixes and ask permission before editing; recheck any corrected files. Workspace settings may invoke an external agent backend and…

What it can do on your machine

Read from SKILL.md and the folder at commit d8debed. 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

    No scripts in the folder and no shell commands in SKILL.md.

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

  • Network

    No URLs in SKILL.md.

    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

Review Changes loads about 322 tokens when it runs. Until then it costs about 50 tokens; SKILL.md has 147 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~50
When it runs · the whole SKILL.md, loaded when a task matches
~322

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 AgiFlow/aicode-toolkit at commit d8debed, republished under its AGPL-3.0 licence (© AgiFlow). 147 words, ~322 tokens.

Download SKILL.mdSave it as .claude/skills/review-changes/SKILL.md (or your agent's skills folder).
name
review-changes
description
Review changes against file-specific toolkit rules. Trigger for code-review and quality-check requests. Do not trigger when the user asks to generate a project or author coding rules.

Review changes using project rules

  1. Identify changed files and the consumer workspace. For each file call review-code-change with { "file_path": "..." } and inspect its full feedback and returned rules.
  2. Compare actual source and diff against the applicable rules yourself. An unconfigured backend returns rules for host-agent review with identified_issues: [] and fix_required: false; those fields are not evidence of compliance. Missing project, template or RULES.yaml likewise means review could not establish compliance.
  3. Report findings with file/line, severity, specific rule, evidence and suggested correction. Explicitly state when rules were missing or a backend could not run. Do not claim that an empty issue list passed review without examining the code.
  4. Propose fixes and ask permission before editing; recheck any corrected files. Workspace settings may invoke an external agent backend and incur credentials/cost even without CLI backend flags. Check and explain configured settings before requesting such a review.

© AgiFlow, AGPL-3.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugins/aicode-review/skills/review-changes of AgiFlow/aicode-toolkit.

Open the folder on GitHubat commit d8debed

Compare with similar skills

Review Changes 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.

Review Changes compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Review Changes this skillAgiFlow/aicode-toolkit161—~322Automated safety check: PassAGPL-3.0
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-Anything86k1 repos~1.4kAutomated safety check: PassMIT
Mole Bug Patternstw93/Mole70k—~2kAutomated safety check: PassGPL-3.0

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Categories

Questions about Review Changes

What does Review Changes do?

Review changes against file-specific toolkit rules. An agent skill from AgiFlow/aicode-toolkit. Review Changes is an agent skill from AgiFlow/aicode-toolkit. Review changes against file-specific toolkit rules.

When should I use Review Changes?

Review Changes fits situations like: code-review and quality-check requests; the user asks to generate a project; author coding rules.

How do I install Review Changes in Claude Code?

Run `npx skills add AgiFlow/aicode-toolkit --skill review-changes -a claude-code`. Or copy the skill folder (plugins/aicode-review/skills/review-changes in AgiFlow/aicode-toolkit) into .claude/skills/review-changes in your project. Claude Code loads it when a task matches its description.

How do I install Review Changes in Codex?

Run `npx skills add AgiFlow/aicode-toolkit --skill review-changes -a codex`. Or copy the skill folder (plugins/aicode-review/skills/review-changes in AgiFlow/aicode-toolkit) into .agents/skills/review-changes in your project. Codex loads it when a task matches its description.

Can I use Review Changes 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 AgiFlow/aicode-toolkit --skill review-changes -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/review-changes, .gemini/skills/review-changes, .github/skills/review-changes and .opencode/skills/review-changes in your project.

What does Review Changes need to run?

SKILL.md names no scripts, command-line tools or credentials: Review Changes is instructions for the agent only.

Does Review Changes access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Review Changes 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 Review Changes use?

Review Changes is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Review Changes use?

About 322 tokens (SKILL.md is roughly 1.3k 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 Review Changes?

Skills that share tags, products or a category with Review Changes: 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, 86k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Review Changes?

AgiFlow (a GitHub organization) maintains it in AgiFlow/aicode-toolkit, which has 161 GitHub stars. The repository holds 9 skills in this directory. The repository was last updated on October 5, 2026.

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