Agent skill

Zoonk Code Review

by zoonk in zoonk/zoonk

Review Zoonk diffs or assess supplied review comments against actual product behavior and repository constraints.

MITAuto-check passedDevelopment

Install Zoonk Code Review

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

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

GitHub CLI
$ gh skill install zoonk/zoonk zoonk-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/zoonk/zoonk.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/zoonk-code-review .claude/skills/zoonk-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
zoonk-code-review
GitHub stars
157
Token cost
~1.7k tokens
SKILL.md length
847 words
Files
2
Skills in repo
11
Repo updated
First seen
Licence
MIT

At a glance

Review Zoonk diffs or assess supplied review comments against actual product behavior and repository constraints.

  • Tasks that involve Code review
  • SKILL.md covers Scope and evidence, Follow the changed behavior, Conditional references and Checks and output
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Zoonk Code Review is an agent skill from zoonk/zoonk. Review Zoonk diffs or assess supplied review comments against actual product behavior and repository constraints.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `agents/openai.yaml`).

It sits in Development, covering Code review. The repository describes itself as: Turn any topic into clear, structured lessons. The licence is MIT.

When your agent uses it

  • Tasks that involve Code review

Example prompts

  • “/zoonk-code-review”

What it can do on your machine

Read from SKILL.md and the folder at commit e0fe2d6. 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

Zoonk Code Review loads about 1.7k tokens when it runs. Until then it costs about 33 tokens; SKILL.md has 847 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
~1.7k

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

The full file from zoonk/zoonk at commit e0fe2d6, republished under its MIT licence (© zoonk). 847 words, ~1,703 tokens.

Download SKILL.mdSave it as .claude/skills/zoonk-code-review/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
zoonk-code-review
description
Review Zoonk diffs or assess supplied review comments against actual product behavior and repository constraints.
license
MIT
metadata.author
zoonk
metadata.version
2.0.0

Zoonk code review

Review correctness, product intent, architecture, permissions, performance, and the user experience. Automated checks support these judgments; a green suite is not proof that the design or assumptions are correct.

Scope and evidence

Determine the requested comparison: index, unstaged changes, working tree, commit, branch, or PR. Inspect every file in that diff and enough callers and contracts to understand changed behavior. Do not mix unrelated unstaged work into an index review. Use applicable repository instructions already in context; read additional scoped guidance only where the changed paths need it.

Follow the root instructions for fixing confirmed bugs during reviews. An explicitly findings-only or read-only review stays read-only. For authorized fixes, preserve the user's index and complete relevant verification before local review; the skill does not authorize commits or external publication.

Reconstruct the intended behavior independently of the implementation’s explanation. Identify the assumptions required for the design to work, then investigate reachable conditions that could invalidate them. Trace those assumptions across callers, shared state, and component boundaries; individually correct parts do not establish correct composition. A constructed reproduction proves that case occurs under its supplied conditions; verify that those conditions are possible in this product.

A follow-up review must reassess the assumptions and coverage supporting the earlier conclusion. Reuse valid evidence, but investigate what the earlier review did not establish. Review fixes with the same scrutiny as the original change, including their effects on surrounding behavior.

Classify concerns before reporting:

  • Real bug: A reachable path violates the established product or repository contract with a concrete consequence.
  • Behavior-dependent: The outcome depends on an unverified product rule, caller, environment, or deployment condition. State that condition and keep it separate from confirmed findings.
  • Non-bug: Intentional, unreachable, speculative, or preference-only. Explain rejected supplied comments briefly; omit them from findings.

Follow the changed behavior

Choose the relevant areas below rather than running a fixed audit of every subsystem:

  • Product and correctness: Trace input through validation, persistence, side effects, caching, and output. Examine retries, cancellation, concurrency, stale state, and partial failure where the changed path permits them. Preserve the product contract and remove leftovers from superseded requirements.
  • Architecture and simplicity: Check the core/app boundary, API parity, ownership of shared rules, and whether the added abstraction solves an actual need. Evaluate reused abstractions against the guarantees their callers require. Establish those guarantees from their implementations and actual usage, rather than their names, proximity, or existing adoption. Reject competing sources of truth and unnecessary compatibility layers. Check consumers when moving symbols or changing contracts.
  • Permissions and privacy: Check authorization beside protected reads/writes, including resource ownership and publication state. Review cache scope, input handling, and exposure of private data through responses, logs, analytics, or client bundles. UI visibility is not authorization.
  • Performance: Preserve independent async work; examine added queries, model calls, unbounded results, or client payloads. Repeated cheap translation calls are expected. Require evidence before proposing performance machinery.
  • Data and workflows: Check uniqueness, transactions, retry safety, freshness, and invalidation. Public API changes must preserve the OpenAPI contract; distinguish public product endpoints from the same-origin transport exception in API guidance.
  • UI and native behavior: Judge the whole changed flow, including accessibility and recovery states, in the actual application when relevant. Distinguish rendered observations from static inference.
  • Coverage: Check whether assertions would catch the real defect and whether fixtures isolate persisted state. Do not request tests that only mirror copy, styles, schemas, or library behavior.
Show full SKILL.md (282 more words)Show less

Conditional references

  • For a disputed Next.js API or caching behavior, consult the relevant installed docs in apps/<app>/node_modules/next/dist/docs/. Apply the core Cache Component contract; do not prescribe React cache for every read. Its object-argument identity and per-request scope matter when it is actually used.
  • For component architecture, use compound components; for visual or interaction judgment, use design guidance, which routes native platform work.
  • For effect or React performance questions, consult the relevant React best practices. Load next-dev-loop when runtime investigation is needed, not for every TSX diff.
  • For test design or fixture questions, use testing guidance. Internal app exclusions and the prohibition on React component unit tests still apply.
  • For user-facing copy, consult the copy styleguide. Translation generation and ownership follow the shared web guidance.

Checks and output

Use current CI results when available. Run local checks to answer a concrete question, reproduce a defect, or close a coverage gap. In read-only reviews use check-only commands. Do not repeat the entire pipeline by default or treat an intermittent failure as a pass.

Lead with actionable findings ordered by impact: P0 for immediate catastrophic impact, P1 for high-impact failures, P2 for functional or architectural defects, and P3 for small real defects. Severity describes impact, not certainty, and does not excuse leaving an authorized confirmed fix unfinished.

Each finding needs a concise title, tight file/line reference, reachable trigger, consequence, and the simplest fix direction when it is not obvious. Include a regression-coverage gap only when it adds information. Keep unsupported conditions separate.

End with a brief account of what was traced or exercised, which relevant checks passed or failed, and material limitations. If there are no findings, say so without implying exhaustive proof of correctness.

© zoonk, 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/zoonk-code-review of zoonk/zoonk.

  • SKILL.md
  • agents/openai.yaml

Open the folder on GitHubat commit e0fe2d6

Compare with similar skills

Zoonk 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.

Zoonk Code Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Zoonk Code Review this skillzoonk/zoonk157—~1.7kAutomated 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-Anything86k1 repos~1.4kAutomated safety check: PassMIT
Mole Bug Patternstw93/Mole70k—~2kAutomated safety check: PassGPL-3.0

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Categories

Questions about Zoonk Code Review

What does Zoonk Code Review do?

Review Zoonk diffs or assess supplied review comments against actual product behavior and repository constraints. Zoonk Code Review is an agent skill from zoonk/zoonk. Review Zoonk diffs or assess supplied review comments against actual product behavior and repository constraints.

When should I use Zoonk Code Review?

Zoonk Code Review fits situations like: tasks that involve Code review.

How do I install Zoonk Code Review in Claude Code?

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

How do I install Zoonk Code Review in Codex?

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

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

What does Zoonk Code Review need to run?

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

Does Zoonk Code Review 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 Zoonk 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 Zoonk Code Review use?

Zoonk Code Review is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Zoonk Code Review use?

About 1.7k tokens (SKILL.md is roughly 6.8k 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 Zoonk Code Review?

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

Who maintains Zoonk Code Review?

zoonk (a GitHub organization) maintains it in zoonk/zoonk, which has 157 GitHub stars. The repository holds 11 skills in this directory. The repository was last updated on October 2, 2026.

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