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review审查

Agent Skill

review 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

470

周安装

20

GitHub Stars

142

下载量

165
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:review(审查)
来源仓库:https://github.com/poteto/noodle
仓库路径:skills/review
安装命令:
npx skills add https://github.com/poteto/noodle --skill review
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/poteto/noodle --skill review

简介

review 用于查找、检索和筛选相关信息,根据关键词或任务场景快速定位候选结果。

  • 适合在需要根据来源线索快速定位信息时使用,提升搜索效率。
  • 可结合来源仓库和原始 README 核验具体用法,建议确认权限范围和维护状态。
  • 安装命令:npx skills add https://github.com/poteto/noodle --skill review。
  • 适用于 Codex、Claude、Cursor、Gemini CLI,通过 GitHub 安装。

SKILL.md

Review

Thorough, interactive review grounded in project principles. Do NOT make changes — the review is the deliverable.

Autonomous Session Mode

When this skill runs in a non-interactive Noodle execution session (for example Cook, Oops, or Repair):

  • Do not use AskUserQuestion. For each issue found, state the recommended action directly instead of presenting options.
  • Write findings to a report file at brain/audits/review-<date>-<subject>.md in addition to session output.
  • For high-severity issues, file a todo in brain/todos.md using the /todo skill.
  • For low-severity issues, note them in the report but don't file separate todos.
  • Conclude by committing the review report. Do not wait for direction.

Use Tasks to track progress. Create a task for each step below (TaskCreate), mark each in_progress when starting and completed when done (TaskUpdate). Check TaskList after each step.

Step 1 — Load Principles

Read brain/principles.md. Follow every [[wikilink]] and read each linked principle file. These principles govern review judgments — refer back to them when evaluating issues.

Do NOT skip this. Do NOT use memorized principle content — always read fresh.

Step 2 — Determine Scope

Infer what to review from context — the user's message, recent diffs, or referenced plans/PRs. If genuinely ambiguous (nothing to infer), ask.

Auto-detect review mode from change size:

  • BIG CHANGE (50+ lines changed, 3+ files, or new architecture) — all sections, at most 4 top issues per section
  • SMALL CHANGE (under those thresholds) — one issue per section

Step 3 — Gather Context

For SMALL CHANGE reviews, read files directly in the main context — delegation overhead exceeds the cost of reading a few files. For BIG CHANGE reviews, delegate exploration to subagents via the Task tool.

Spawn exploration agents (subagent_type: Explore) to:

  • Read the code or plan under review
  • Identify dependencies, callers, and downstream effects
  • Map relevant types, tests, and infrastructure

Run multiple agents in parallel when investigating independent areas.

Step 4 — Gather Domain Skills

Check installed skills (.claude/skills/) for any that match the review's domain. Common matches:

DomainSkillWhen
Frontend UIfrontend-designWeb UI components, layouts, visual design
Codex delegationcodexTasks delegated to Codex workers

For domains not listed above, use find-skills to search for a relevant skill.

Invoke matched skills now — read their output and use domain guidance to inform your review.

Step 5 — Review Sections

Work through all sections, then present the full review. The user can redirect mid-stream if needed.

1. Architecture

  • System design and component boundaries
  • Dependency graph and coupling
  • Data flow patterns and bottlenecks
  • Scaling characteristics and single points of failure
  • Security architecture (auth, data access, API boundaries)

2. Code Quality

  • Code organization and module structure
  • DRY violations — be aggressive
  • Error handling patterns and missing edge cases (call out explicitly)
  • Technical debt hotspots
  • Over-engineering or under-engineering relative to foundational-thinking principles; consider redesign-from-first-principles

3. Tests

  • Coverage gaps (unit, integration, e2e)
  • Test quality and assertion strength
  • Missing edge case coverage — be thorough
  • Untested failure modes and error paths

4. Performance

  • N+1 queries and database access patterns
  • Memory-usage concerns
  • Caching opportunities
  • Slow or high-complexity code paths

Step 6 — Issue Format

NUMBER each issue (1, 2, 3...). For every issue:

  • Describe the problem concretely with file and line references
  • Present 2–3 options with LETTERS (A, B, C), including "do nothing" where reasonable
  • For each option: implementation effort, risk, impact on other code, maintenance burden
  • Give a recommended option and why, mapped to foundational-thinking principles
  • Ask whether the user agrees or wants a different direction

When using AskUserQuestion, label each option with issue NUMBER and option LETTER. Recommended option is always first.

Interaction Rules

  • Do not assume priorities on timeline or scale
  • Do not make changes — present findings and wait for direction
  • Present all sections together, then ask for feedback once at the end
  • Per prove-it-works: if something can be tested, note how in the issue description

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.93%
按下载量换算58

Claude

29.33%
按下载量换算48

Cursor

20.72%
按下载量换算34

Gemini CLI

9.48%
按下载量换算16

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/poteto/noodle --skill review 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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