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Agent skill

Code Review

by synnaxlabs in synnaxlabs/synnax

Process and hard rules for conducting code reviews in this repo: PRs, branches, commit ranges, and working diffs.

Custom licenceAuto-check passedDevelopment

Install Code Review

skills CLI
$ npx skills add synnaxlabs/synnax --skill code-review -a claude-code

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

GitHub CLI
$ gh skill install synnaxlabs/synnax 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/synnaxlabs/synnax.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/code-review .claude/skills/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
code-review
GitHub stars
128
Token cost
~3.7k tokens
SKILL.md length
2,023 words
Files
1
Skills in repo
10
Repo updated
First seen
Licence
Custom licence

At a glance

Process and hard rules for conducting code reviews in this repo: PRs, branches, commit ranges, and working diffs.

  • Works in 6 steps: Establish the artifact and its true base… → Map the diff into a reading guide (Rule… → Read beyond the diff (Rule 3).… → …
  • Reviewing any diff-shaped artifact
  • SKILL.md covers The process spine, Rule 1: Attribute against the…, Rule 2: The reading guide —… and Rule 3: Read beyond the diff, plus 9 more sections
  • Calls git and gh

What it does

Code Review is an agent skill from synnaxlabs/synnax. Process and hard rules for conducting code reviews in this repo: PRs, branches, commit ranges, and working diffs. Use whenever reviewing any diff-shaped artifact, walking the user through a change, or assessing mergeability. Extends and overrides the built-in code-review skill. Enforces true-base attribution, a chunked reading guide, verification before reporting, and severity discipline. Triaging incoming comments on a PR you authored belongs to the pr-comments skill.

Its SKILL.md is about 3.7k 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: The data and operations foundation for hardware.

When your agent uses it

  • Reviewing any diff-shaped artifact
  • Walking the user through a change
  • Assessing mergeability

Example prompts

  • “/code-review”

Workflow steps

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

  1. Establish the artifact and its true base (Rule 1). What is being reviewed, what
  2. Map the diff into a reading guide (Rule 2). Chunk by architectural concern,
  3. Read beyond the diff (Rule 3). Surrounding code for every hunk; blast radius for
  4. Assemble the criteria in force (Rule 4). Load the written law for the touched
  5. Verify every candidate finding (Rule 5, gated by the trap list in Rule 6).
  6. Report and walk through (Rules 7–9). Severity-disciplined findings, delivered as

What it can do on your machine

Read from SKILL.md and the folder at commit 87c16f4. 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
    • gh

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

  • Network

    No URLs in SKILL.md. Its commands use git and gh, 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

Code Review loads about 3.7k tokens when it runs. Until then it costs about 122 tokens; SKILL.md has 2,023 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~122
When it runs · the whole SKILL.md, loaded when a task matches
~3.7k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 2,023 words (~3,667 tokens).

“A review finding is a claim that something in the diff is wrong, and claims are earned with evidence. The recurring reviewer failure modes this skill exists to prevent: reviewing against the wrong base, judging a hunk without its surrounding…”

— opening of SKILL.md by synnaxlabs, Custom licence
name
code-review

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .claude/skills/code-review of synnaxlabs/synnax.

Open the folder on GitHubat commit 87c16f4

Compare with similar skills

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.

Code Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Code Review this skillsynnaxlabs/synnax128—~3.7kAutomated safety check: PassCustom licence
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

Similar skills

  • PR Babysitter

    openinterpreter/openinterpreter

    Watches an open GitHub pull request until it merges, handling review comments, diagnosing CI failures and retrying flaky checks along the way.

    69k GitHub starsUsed in 3 repos~4.2k tokens
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  • Code Review Checklist

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    Reviews code against a five-part checklist covering security, correctness, performance, maintainability and testing, and reports findings in a fixed format.

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  • Backend Code Review

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    Review backend code for quality, security, maintainability, and best practices based on established checklist rules.

    156k GitHub stars~3.5k tokensUpdated today
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  • Understand Diff Analysis

    Egonex-AI/Understand-Anything

    Reads your git changes or a pull request against a prebuilt knowledge graph of the project to explain what changed, which components are affected and what is risky.

    85k GitHub starsUsed in 1 repo~1.4k tokens
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  • Mole Bug Patterns

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    A catalog of recurring bug shapes in the Mole Mac cleaner, used to review safety-sensitive diffs for deletion safety, unbounded commands, shell traps and weak tests.

    69k GitHub stars~2k tokensUpdated yesterday
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  • Backend Code Review

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  • Design

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  • Eb Review

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Categories

Questions about Code Review

What does Code Review do?

Process and hard rules for conducting code reviews in this repo: PRs, branches, commit ranges, and working diffs. Code Review is an agent skill from synnaxlabs/synnax. Process and hard rules for conducting code reviews in this repo: PRs, branches, commit ranges, and working diffs.

When should I use Code Review?

Code Review fits situations like: reviewing any diff-shaped artifact; walking the user through a change; assessing mergeability.

How do I install Code Review in Claude Code?

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

How do I install Code Review in Codex?

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

Can I use 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 synnaxlabs/synnax --skill 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/code-review, .gemini/skills/code-review, .github/skills/code-review and .opencode/skills/code-review in your project.

What does Code Review need to run?

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

Does Code Review access the network?

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

Is 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 Code Review use?

Code Review has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Code Review use?

About 3.7k tokens (SKILL.md is roughly 15k 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 Code Review?

Skills that share tags, products or a category with 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 Code Review?

synnaxlabs (a GitHub organization) maintains it in synnaxlabs/synnax, which has 128 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on October 7, 2026.

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