A skill your agent uses when Nucleus 工件、计划、代码变更、测试资产或交付证据需要独立领域审查。

MITAuto-check passed

Install Multi Review

skills CLI
$ npx skills add protect-my-hair/nucleus-marketplace --skill multi-review -a claude-code

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

GitHub CLI
$ gh skill install protect-my-hair/nucleus-marketplace multi-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/protect-my-hair/nucleus-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/nucleus/skills/multi-review .claude/skills/multi-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
multi-review
GitHub stars
164
Token cost
~457 tokens
SKILL.md length
92 words
Files
14 (incl. scripts, references, assets)
Skills in repo
18
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when Nucleus 工件、计划、代码变更、测试资产或交付证据需要独立领域审查。

  • Nucleus 工件、计划、代码变更、测试资产或交付证据需要独立领域审查
  • SKILL.md covers 核心原则, 评审领域, 客观评审纪律 and 输出纪律, plus 2 more sections
  • Runs Python scripts from its folder

What it does

Multi Review is an agent skill from protect-my-hair/nucleus-marketplace. Use when Nucleus 工件、计划、代码变更、测试资产或交付证据需要独立领域审查。

Its SKILL.md is about 460 tokens, which your agent loads only when the skill is triggered. The skill folder holds 17 other files, including scripts, reference files and assets (for example `agents/openai.yaml`, `assets/nucleus-multi-review-report.schema.json` and `references/code-review.md`).

The repository describes itself as: Nucleus — Claude Code / Codex 工作流插件,确保 AI 编码产出结构可信、边界可审计、过程可追溯. The licence is MIT.

When your agent uses it

  • Nucleus 工件、计划、代码变更、测试资产或交付证据需要独立领域审查

Example prompts

  • “/multi-review”

Requirements

  • Python 3

What it can do on your machine

Read from SKILL.md and the folder at commit 3c82085. 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

    Ships 1 file in scripts/ (Python), which the agent can run.

    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

Multi Review loads about 457 tokens when it runs, and up to ~6k if it reads all its reference files. Until then it costs about 15 tokens; SKILL.md has 92 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~15
When it runs · the whole SKILL.md, loaded when a task matches
~457
With references · SKILL.md plus every file in references/, read only if the agent opens them
~6k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from protect-my-hair/nucleus-marketplace at commit 3c82085, republished under its MIT licence (© protect-my-hair). 92 words, ~457 tokens.

Download SKILL.mdSave it as .claude/skills/multi-review/SKILL.md (or your agent's skills folder). This skill also uses 13 other files; get the full folder from GitHub.
name
multi-review
description
Use when Nucleus 工件、计划、代码变更、测试资产或交付证据需要独立领域审查。

多角色独立评审

核心原则

评审报告只能记录审查发现,不能制造人工批准、PMS 状态、PR 审查通过、合入或发布事实。

<HARD-GATE>
未确定评审领域、未读取被评审产物、或评审发现阻塞项未整改复核时,不得把下游 task 标记完成。
</HARD-GATE>

评审领域

按产物类型读取对应 reference:

  • 需求分析:references/requirement-analysis-review.md
  • 方案设计:references/solution-design-review.md
  • 需求分解:references/requirement-decomposition-review.md
  • 特性设计:references/feature-design-review.md
  • 实施计划:references/implementation-plan-review.md
  • 代码:references/code-review.md
  • 测试资产:references/test-asset-review.md
  • 交付证据:references/delivery-evidence-review.md
  • 特性完成:references/feature-completion-review.md

无法确定领域时,先读上下文并提出一个明确问题,不得默认用代码评审代替设计评审。

客观评审纪律

方案一致性评审不是机械要求实现逐字贴合原方案。评审者必须判断:

  • 实现是否满足特性设计和实施计划承诺的能力、边界、接口、数据、权限和验证要求。
  • 实现差异是必要改进、等价实现、计划外扩 scope,还是破坏原方案约束。
  • 如果实现明显更简单、更稳健或更符合现有架构,且没有越界或遗漏,应保留实现,并记录“实现优于原方案”的证据和后续是否需要同步设计 / 计划。
  • 如果实现改变了用户可见能力、数据 / 接口 / 权限边界、外部依赖或风险假设,必须阻塞并要求回到计划或特性设计评审节点,不能由 reviewer 直接批准扩 scope。

输出纪律

评审必须区分:

  • blocking:阻塞下游任务。
  • important:进入下游前应处理。
  • suggestion:可记录但不阻塞。
  • unverifiable:当前证据无法判断,需要人工或外部系统确认。

特性开发完成后的评审必须同时覆盖:

  • code-review。
  • 方案一致性评审。
  • 计划满足度评审。

向用户呈现评审结果时,按 _shared/references/interaction-format.md 的确认型格式,第一句先给结论(通过 / 有阻塞 / 需整改),再展开 findings。

子代理预审

所有人工审查 / 人工评审 / 人工复核节点在提交给人之前,必须先按 _shared/references/subagent-precheck-protocol.md 调度独立 reviewer 子代理完成预审,并取得“材料可提交人工审查”结论;子代理 prompt 基于 references/subagent-review-prompt.md 组织。

<HARD-GATE>
人工审查点缺少 `subagentPreReview.required=true` 前置元数据时,不得进入该人工审查点;子代理发现 `blocking` 或 `important` 后,必须先整改并用新的独立 reviewer 复核,未复核前不得把下游 task 标记完成。
</HARD-GATE>

multi-review 自身的 review report 仍只记录发现、风险、整改建议和复核证据,不能替代人工审批、PMS 状态、PR 审查通过、合入或发布事实。

Runtime 边界

scripts/multi_review.py 只校验 review report schema 和语义,不创建评审结论、不替人审查、不改代码。

© protect-my-hair, 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 13 other files (scripts, references, assets) in plugins/nucleus/skills/multi-review of protect-my-hair/nucleus-marketplace.

  • SKILL.md
  • agents/openai.yaml
  • assets/nucleus-multi-review-report.schema.json
  • references/code-review.md
  • references/delivery-evidence-review.md
  • references/feature-completion-review.md
  • references/feature-design-review.md
  • references/implementation-plan-review.md
  • references/requirement-analysis-review.md
  • references/requirement-decomposition-review.md
  • references/solution-design-review.md
  • references/subagent-review-prompt.md
  • references/test-asset-review.md
  • scripts/multi_review.py

Open the folder on GitHubat commit 3c82085

Compare with similar skills

Multi 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.

Multi Review compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Multi Review this skillprotect-my-hair/nucleus-marketplace164—~457Automated safety check: PassMIT
Bio Single Cell Hashing DemultiplexingGPTomics/bioSkills1.2k1 repos~4.2kAutomated safety check: PassMIT
Bio Single Cell Cnv InferenceGPTomics/bioSkills1.2k1 repos~4.7kAutomated safety check: PassMIT
Scenario Maya Fxscenario-labs/skills946—~5.3kAutomated safety check: PassMIT
Cellpose Cell Segmentationjaechang-hits/SciAgent-Skills3741 repos~3.5kAutomated safety check: PassBSD-3-Clause
Game Concept ArchitectDY-2026/GameDesignOS415—~2.1kAutomated safety check: PassMIT

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Questions about Multi Review

What does Multi Review do?

A skill your agent uses when Nucleus 工件、计划、代码变更、测试资产或交付证据需要独立领域审查。. Multi Review is an agent skill from protect-my-hair/nucleus-marketplace.

When should I use Multi Review?

Multi Review fits situations like: nucleus 工件、计划、代码变更、测试资产或交付证据需要独立领域审查.

How do I install Multi Review in Claude Code?

Run `npx skills add protect-my-hair/nucleus-marketplace --skill multi-review -a claude-code`. Or copy the skill folder (plugins/nucleus/skills/multi-review in protect-my-hair/nucleus-marketplace) into .claude/skills/multi-review in your project. Claude Code loads it when a task matches its description.

How do I install Multi Review in Codex?

Run `npx skills add protect-my-hair/nucleus-marketplace --skill multi-review -a codex`. Or copy the skill folder (plugins/nucleus/skills/multi-review in protect-my-hair/nucleus-marketplace) into .agents/skills/multi-review in your project. Codex loads it when a task matches its description.

Can I use Multi 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 protect-my-hair/nucleus-marketplace --skill multi-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/multi-review, .gemini/skills/multi-review, .github/skills/multi-review and .opencode/skills/multi-review in your project.

What does Multi Review need to run?

Going by SKILL.md and its folder, Multi Review needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Multi 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 Multi 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Multi Review use?

Multi 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 Multi Review use?

About 457 tokens (SKILL.md is roughly 1.8k 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 5.5k tokens, read only when the agent opens those files.

What are the alternatives to Multi Review?

Skills that share tags, products or a category with Multi Review: Bio Single Cell Hashing Demultiplexing (GPTomics/bioSkills, 1.2k stars), Bio Single Cell Cnv Inference (GPTomics/bioSkills, 1.2k stars), Scenario Maya Fx (scenario-labs/skills, 946 stars) and Cellpose Cell Segmentation (jaechang-hits/SciAgent-Skills, 374 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Multi Review?

protect-my-hair (a GitHub user) maintains it in protect-my-hair/nucleus-marketplace, which has 164 GitHub stars. The repository holds 18 skills in this directory. The repository was last updated on July 23, 2026.

Source: protect-my-hair/nucleus-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.