Agent skill

Codereview Family

by HorizonRobotics in HorizonRobotics/RoboOrchardLab

Structured code review family for explicit heavy review requests and architecture-sensitive review/evaluation requests.

Apache-2.0Auto-check passedDevelopment

Install Codereview Family

skills CLI
$ npx skills add HorizonRobotics/RoboOrchardLab --skill codereview-family -a claude-code

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

GitHub CLI
$ gh skill install HorizonRobotics/RoboOrchardLab codereview-family --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/HorizonRobotics/RoboOrchardLab.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/codereview .claude/skills/codereview-family && 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
codereview-family
GitHub stars
174
Token cost
~724 tokens
SKILL.md length
339 words
Files
4 (incl. references)
Skills in repo
8
Repo updated
First seen
Licence
Apache-2.0

At a glance

Structured code review family for explicit heavy review requests and architecture-sensitive review/evaluation requests.

  • Routine self-checks
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Casual bug scans

What it does

Codereview Family is an agent skill from HorizonRobotics/RoboOrchardLab. Structured code review family for explicit heavy review requests and architecture-sensitive review/evaluation requests. Route to PR/MR review, local changeset review, or architecture review based on the review target and intent. Do not use for routine self-checks or casual bug scans.

Its SKILL.md is about 720 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `references/report-composition.md`, `references/review-depth-and-delegation.md` and `references/triggering-and-signal.md`).

It sits in Development, covering Software architecture and Verification before completion. The licence is Apache-2.0.

When your agent uses it

  • Routine self-checks
  • Casual bug scans

Example prompts

  • “/codereview-family”

What it can do on your machine

Read from SKILL.md and the folder at commit 221ec0e. 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

Codereview Family loads about 724 tokens when it runs, and up to ~3.4k if it reads all its reference files. Until then it costs about 76 tokens; SKILL.md has 339 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~76
When it runs · the whole SKILL.md, loaded when a task matches
~724
With references · SKILL.md plus every file in references/, read only if the agent opens them
~3.4k

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 HorizonRobotics/RoboOrchardLab at commit 221ec0e, republished under its Apache-2.0 licence (© HorizonRobotics). 339 words, ~724 tokens.

Download SKILL.mdSave it as .claude/skills/codereview-family/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
codereview-family
description
Structured code review family for explicit heavy review requests and architecture-sensitive review/evaluation requests. Route to PR/MR review, local changeset review, or architecture review based on the review target and intent. Do not use for routine self-checks or casual bug scans.

Use this skill family when the user explicitly asks for a heavy review flow, or when the task is already a review/evaluation request and the auto-trigger rules in references/triggering-and-signal.md select a heavy review path.

Read references/triggering-and-signal.md and references/review-depth-and-delegation.md first. When preparing a final report, also use references/report-composition.md.

Then route to the smallest sub-skill that matches the target:

  • changeset-codereview/ Use for explicit review of a commit, branch diff, staged diff, working tree diff, patch, or local file set.
  • prmr-codereview/ Use for explicit GitHub PR or GitLab MR review when PR/MR-specific transport, metadata, or comment posting is required.
  • architecture-review/ Use for explicit architecture review or for review/evaluation requests where layering, contracts, compatibility surfaces, abstractions, or public API design are the main question.

If the target is a PR/MR or local changeset and the user explicitly asks for architecture review in addition to ordinary review dimensions, or if the reviewed scope materially changes layering, ownership boundaries, dependency direction, compatibility/public surfaces, or other architecture-review dimensions, keep prmr-codereview or changeset-codereview as the active skill. For PR/MR reviews, the delegated changeset-codereview workflow owns applying any paired architecture-review/ dimensions. A paired skill is a logical report input and normally shares the same review subagent. In both cases, the active skill owns the main report and must summarize the paired architecture results in Related review inputs.

Do not use this family for:

  • routine implementation self-checks
  • quick bug scans during development
  • ordinary debugging
  • style-only or taste-only feedback

Use the smallest review surface that satisfies the request. The heavier the workflow, the more explicit the user request should be.

Treat reviewer roles as logical review dimensions rather than mandatory agent slots. Follow references/review-depth-and-delegation.md: explicit heavy review defaults to at most one active review subagent per review round, while the main agent owns scope, guidance discovery, validation, convergence, and reporting. A review loop may use multiple reviewers sequentially, but each new issue-discovery round must start with a fresh reviewer. Use parallel reviewers within one round only when the user explicitly requests them or a stated high-risk scope justifies independent review.

© HorizonRobotics, Apache-2.0. 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 3 other files (references) in .agents/skills/codereview of HorizonRobotics/RoboOrchardLab.

  • SKILL.md
  • references/report-composition.md
  • references/review-depth-and-delegation.md
  • references/triggering-and-signal.md

Open the folder on GitHubat commit 221ec0e

Compare with similar skills

Codereview Family 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.

Codereview Family compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Codereview Family this skillHorizonRobotics/RoboOrchardLab174—~724Automated safety check: PassApache-2.0
Archify Diagramstt-a1i/archify81k—~2.9kAutomated safety check: PassMIT
Electron Multi-Process ArchitectureiOfficeAI/AionUi33k1 repos~1.8kAutomated safety check: PassApache-2.0
Backend Code Reviewlanggenius/dify158k—~676Automated safety check: PassCustom licence
Dark Architecture Diagram BuilderCocoon-AI/architecture-diagram-generator7.4k1 repos~2.1kAutomated safety check: PassMIT
SVG Diagram GeneratorJimLiu/baoyu-skills27k1 repos~3.1kAutomated safety check: PassMIT

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Categories

Questions about Codereview Family

What does Codereview Family do?

Structured code review family for explicit heavy review requests and architecture-sensitive review/evaluation requests. Codereview Family is an agent skill from HorizonRobotics/RoboOrchardLab. Structured code review family for explicit heavy review requests and architecture-sensitive review/evaluation requests.

When should I use Codereview Family?

Codereview Family fits situations like: routine self-checks; casual bug scans.

How do I install Codereview Family in Claude Code?

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

How do I install Codereview Family in Codex?

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

Can I use Codereview Family 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 HorizonRobotics/RoboOrchardLab --skill codereview-family -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/codereview-family, .gemini/skills/codereview-family, .github/skills/codereview-family and .opencode/skills/codereview-family in your project.

What does Codereview Family need to run?

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

Does Codereview Family 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 Codereview Family 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 Codereview Family use?

Codereview Family is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Codereview Family use?

About 724 tokens (SKILL.md is roughly 2.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.6k tokens, read only when the agent opens those files.

What are the alternatives to Codereview Family?

Skills that share tags, products or a category with Codereview Family: Archify Diagrams (tt-a1i/archify, 81k stars), Electron Multi-Process Architecture (iOfficeAI/AionUi, 33k stars), Backend Code Review (langgenius/dify, 158k stars) and Dark Architecture Diagram Builder (Cocoon-AI/architecture-diagram-generator, 7.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Codereview Family?

HorizonRobotics (a GitHub organization) maintains it in HorizonRobotics/RoboOrchardLab, which has 174 GitHub stars. The repository holds 8 skills in this directory. The repository was last updated on September 24, 2026.

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