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Agent skill

Six Dimension Code Review

by a5c-ai in a5c-ai/babysitter

Structured pull-request review across six fixed dimensions — correctness, clarity, consistency, coverage, complexity, and change-scope — producing a per-dimension verdict plus severity-tagged…

MITAuto-check passedDevelopment

Install Six Dimension Code Review

skills CLI
$ npx skills add a5c-ai/babysitter --skill six-dimension-code-review -a claude-code

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

GitHub CLI
$ gh skill install a5c-ai/babysitter six-dimension-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/a5c-ai/babysitter.git skills-src && mkdir -p .claude/skills && cp -r skills-src/library/specializations/collaboration/skills/six-dimension-code-review .claude/skills/six-dimension-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
six-dimension-code-review
GitHub stars
1.8k
Token cost
~700 tokens
SKILL.md length
234 words
Files
1
Skills in repo
14
Repo updated
First seen
Licence
MIT

At a glance

Structured pull-request review across six fixed dimensions — correctness, clarity, consistency, coverage, complexity, and change-scope — producing a per-dimension verdict plus severity-tagged…

  • Reviewing a PR diff
  • SKILL.md covers The six dimensions, Output shape and Related
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Running the collaboration PR lifecycles

What it does

Six Dimension Code Review is an agent skill from a5c-ai/babysitter. Structured pull-request review across six fixed dimensions — correctness, clarity, consistency, coverage, complexity, and change-scope — producing a per-dimension verdict plus severity-tagged findings. Use when reviewing a PR diff or running the collaboration PR lifecycles.

Its SKILL.md is about 700 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 and Pull requests. The repository describes itself as: Babysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestration. The licence is MIT.

When your agent uses it

  • Reviewing a PR diff
  • Running the collaboration PR lifecycles

Example prompts

  • “/six-dimension-code-review”

Requirements

  • Pre-approved tools (allowed-tools): Read, Glob, Grep

What it can do on your machine

Read from SKILL.md and the folder at commit feb68ab. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Glob
    • Grep

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are json).

    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

Six Dimension Code Review loads about 700 tokens when it runs. Until then it costs about 75 tokens; SKILL.md has 234 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~75
When it runs · the whole SKILL.md, loaded when a task matches
~700

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 a5c-ai/babysitter at commit feb68ab, republished under its MIT licence (© a5c-ai). 234 words, ~700 tokens.

Download SKILL.mdSave it as .claude/skills/six-dimension-code-review/SKILL.md (or your agent's skills folder).
name
six-dimension-code-review
description
Structured pull-request review across six fixed dimensions — correctness, clarity, consistency, coverage, complexity, and change-scope — producing a per-dimension verdict plus severity-tagged findings. Use when reviewing a PR diff or running the collaboration PR lifecycles.
allowed-tools
Read, Glob, Grep
graph.domains
domain:software-engineering
graph.specializations
specialization:collaboration
graph.skillAreas
skill-area:code-review-practice
graph.roles
role:tech-lead, role:backend-engineer
graph.workflows
workflow:pull-request-lifecycle

Six-Dimension Code Review

The rubric hardcoded as the DIMENSIONS array in ../../code-review/six-dimension-review.js (@process specializations/collaboration/code-review/six-dimension-review) and depended on by ../../github/pr-lifecycle-feature.js. Each dimension is reviewed independently and in parallel; one lens per pass.

The six dimensions

  • correctness — Does the code do what the PR claims? Any logical bugs, off-by-one, race conditions, null/undef hazards, error-path gaps?
  • clarity — Is intent obvious from the code? Names, structure, comments where non-obvious. Flag cleverness that sacrifices readability.
  • consistency — Does the change match existing patterns, conventions, and architectural boundaries in the repo?
  • coverage — Are there tests for the new behavior? Do existing tests still exercise the right paths? Any coverage gaps for edge cases?
  • complexity — Is the solution as simple as it can be? Any over-engineering, premature abstraction, unused flexibility?
  • change-scope — Is the PR focused on one concern? Any drive-by edits, mixed refactor+feature, or churn that belongs in a separate PR?

Output shape

Each dimension pass returns:

json
{
  "findings": [
    {
      "severity": "block",
      "path": "src/example.ts",
      "line": 42,
      "detail": "…",
      "suggestion": "…"
    }
  ],
  "summary": "string"
}

severity is one of block, nit, or info. The process aggregates the six passes into a per-dimension verdict map plus two flattened lists — blockingFindings (every block finding, tagged with its dimension) and nits (every nit finding, likewise tagged) — and a joined summary. The review succeeds only when blockingFindings is empty.

../../code-review/validator.js uses a different, broader dimension set — quality, architecture, tests, security, ux, business — and materialises non-blocking findings as deferred debt on disk. This skill documents the six-dimension rubric only; the two are not interchangeable.

© a5c-ai, MIT. 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 library/specializations/collaboration/skills/six-dimension-code-review of a5c-ai/babysitter.

Open the folder on GitHubat commit feb68ab

Compare with similar skills

Six Dimension 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.

Six Dimension Code Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Six Dimension Code Review this skilla5c-ai/babysitter1.8k—~700Automated safety check: PassMIT
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Understand Diff AnalysisEgonex-AI/Understand-Anything86k1 repos~1.4kAutomated safety check: PassMIT
WooCommerce Code Reviewwoocommerce/woocommerce11k3 repos~1.1kAutomated safety check: PassCustom licence
Open Code Review CLIalibaba/open-code-review44k—~3.1kAutomated safety check: PassApache-2.0
GitHub Review Iterationprisma/orm48k—~2.2kAutomated safety check: PassApache-2.0

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Categories

Questions about Six Dimension Code Review

What does Six Dimension Code Review do?

Structured pull-request review across six fixed dimensions — correctness, clarity, consistency, coverage, complexity, and change-scope — producing a per-dimension verdict plus severity-tagged…. Six Dimension Code Review is an agent skill from a5c-ai/babysitter. Structured pull-request review across six fixed dimensions — correctness, clarity, consistency, coverage, complexity, and change-scope — producing a per-dimension verdict plus severity-tagged findings.

When should I use Six Dimension Code Review?

Six Dimension Code Review fits situations like: reviewing a PR diff; running the collaboration PR lifecycles.

How do I install Six Dimension Code Review in Claude Code?

Run `npx skills add a5c-ai/babysitter --skill six-dimension-code-review -a claude-code`. Or copy the skill folder (library/specializations/collaboration/skills/six-dimension-code-review in a5c-ai/babysitter) into .claude/skills/six-dimension-code-review in your project. Claude Code loads it when a task matches its description.

How do I install Six Dimension Code Review in Codex?

Run `npx skills add a5c-ai/babysitter --skill six-dimension-code-review -a codex`. Or copy the skill folder (library/specializations/collaboration/skills/six-dimension-code-review in a5c-ai/babysitter) into .agents/skills/six-dimension-code-review in your project. Codex loads it when a task matches its description.

Can I use Six Dimension 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 a5c-ai/babysitter --skill six-dimension-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/six-dimension-code-review, .gemini/skills/six-dimension-code-review, .github/skills/six-dimension-code-review and .opencode/skills/six-dimension-code-review in your project.

What does Six Dimension Code Review need to run?

SKILL.md names no scripts, command-line tools or credentials: Six Dimension Code Review is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Glob, Grep.

Does Six Dimension 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 Six Dimension 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 Six Dimension Code Review use?

Six Dimension 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 Six Dimension Code Review use?

About 700 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 Six Dimension Code Review?

Skills that share tags, products or a category with Six Dimension Code Review: PR Babysitter (openinterpreter/openinterpreter, 69k stars), Understand Diff Analysis (Egonex-AI/Understand-Anything, 86k stars), WooCommerce Code Review (woocommerce/woocommerce, 11k stars) and Open Code Review CLI (alibaba/open-code-review, 44k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Six Dimension Code Review?

a5c-ai (a GitHub organization) maintains it in a5c-ai/babysitter, which has 1,835 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on September 16, 2026.

Source: a5c-ai/babysitter on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.