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Agent Skill · 研究检索

review-changes(审查变更)

review-changes 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。

review-changes 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为需要联网;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 42,577。

总安装 1,058周安装 45GitHub Stars 1下载 371核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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-changes(审查变更)
来源仓库:https://github.com/tenzir/skills
仓库路径:skills/review-changes
安装命令:
npx skills add https://github.com/tenzir/skills --skill review-changes
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/tenzir/skills --skill review-changes

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

review-changes 用于信息查找、检索与筛选,支持变更内容分析。适用于 Codex、Claude、Cursor、Gemini CLI 中的研究类任务。通过 npx 命令从 GitHub 仓库安装并使用该技能。安装前应确认仓库权限、维护状态及是否涉及文件读写。

当前无详细功能描述,需参考原始 README 获取准确信息。

来源仓库内路径:skills/review-changes

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/tenzir/skills --skill review-changes;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

review-changes 怎么安装?

在终端执行 npx skills add https://github.com/tenzir/skills --skill review-changes。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

review-changes 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

review-changes 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

review-changes 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

review-changes 用的人多吗?

公开数据是累计安装 1,058 次,近一周安装 45 次,下载 371 次,GitHub 1 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

review-changes 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
review-changes

审查变更 · 本页

1,0581需要联网未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Review Changes

Review changed code with explicit severity and confidence.

Process

Follow this sequence to produce a thorough, efficient review:

  1. Understand intent. Read the PR description, commit messages, linked issues, and any existing reviewer feedback. Know what the change is *trying* to do before judging how well it does it.
  2. Load prior-feedback guidance when needed. If the review already has comments or notes, read references/reviewer-feedback.md before reviewing the diff so you can check whether that feedback still applies and how to respond to it. When the user asks to address existing GitHub review feedback, collect the active comments first, map each still-valid concern to the relevant technical lens, and surface it in the normal finding format before you decide how to reply or resolve. On GitHub pull requests, also read references/github-pr-reviews.md for thread state, reply, and resolution guidance.
  3. Scan for scope. Skim the full diff to understand what areas it touches — files, modules, layers. This determines which lenses to load.
  4. Select lenses. Use the table below to pick the relevant technical lenses. Load only what applies; skip the rest. Readability is the baseline.
  5. Review each file. Walk the diff file by file. Pull in adjacent unchanged code only when it is necessary to explain impact or verify whether an issue is real. Re-check prior reviewer feedback against the latest code before you repeat or endorse it.
  6. Synthesize. After the file-by-file pass, look for groupable root causes. Multiple symptoms in different files may share one underlying problem — present those as a grouped finding instead of separate entries.
  7. Write up the review using the report structure below: H1, short introduction, ## Overview, ## Findings, and ## Verdict.
  8. Produce a verdict in the final section.

Lens Selection

Use this table to decide which lenses to load based on what the diff touches. Readability is always worth loading as a baseline.

If the diff touches…Load these lenses
User input, auth, networking, secretsSecurity
Public APIs, module boundariesArchitecture
CLI output, error messages, defaultsUX
Hot paths, loops, queries, large dataPerformance
New features, bug fixes, branching logicTests
Docs, README, docstrings, examplesDocumentation
Anything elseReadability (always on)

Scope

Focus on the changed code and behavior introduced by the diff. Pull in adjacent unchanged code only when it is necessary to explain impact or verify whether an issue is real.

Rating

Rate impact separately from certainty.

SeverityEmojiMeaning
P1🔴Critical: security flaws, data loss, crashes, or release blockers
P2🟠Important: broken features, serious regressions, or major correctness gaps
P3🟡Should fix: smaller bugs, coverage gaps, or usability problems
P4⚪Nice to have: low-impact polish or consistency issues

Report findings with confidence ≥ 80. For findings between 60–79, mention them briefly in a "Lower-confidence observations" section at the end, clearly marked as uncertain. Below 60, drop them entirely.

Report Structure

Use this shape:

  1. # Code Review
  2. one or two sentences of context
  3. ## Overview
  4. ## Findings
  5. ## Verdict
  6. optional ## Lower-confidence observations

Prefer the example below over extra narration.

Finding Format

Each finding must include:

  • File: location with line numbers
  • Issue: one-sentence problem statement
  • Reasoning: why the behavior is wrong or risky
  • Evidence: concrete code, types, or behavior
  • Suggestion: a specific fix or next action

Add Source when a finding comes from prior review feedback. For GitHub reviews, link directly to the review comment.

Use this heading format:

### 🟠 P2 · 🛡️ SEC-1 · Missing authorization check · 92%

Use these prefixes:

  • SEC: security
  • ARC: architecture
  • TST: tests
  • UXD: user experience
  • RDY: readability
  • DOC: documentation
  • PRF: performance

Use these category icons:

PrefixEmojiCategory
SEC🛡️security
ARC🏗️architecture
TST🧪tests
UXD🎨user experience
RDY👁️readability
DOC📖documentation
PRF🚀performance
GRP📦grouped findings

Review Presentation

In ## Overview, list findings like this:

- {severity_emoji} {severity} · {category_emoji} {id} · {title} ({confidence}%) · {file}:{line}

Sort by severity first, then confidence. Group findings only when they share one root cause.

Actionability

Prefer findings that are specific, reproducible, and cheap enough to act on in the current change. Cap output at roughly 8 findings for a normal-sized diff.

Avoid:

  • speculative concerns without concrete evidence
  • style nits already enforced by tooling
  • rewrite suggestions without a clear risk
  • pre-existing issues outside the diff
  • unrelated scope creep

Example Layout

# Code Review

I reviewed the BITZ parser changes with a focus on payload validation and test
coverage. I found one P2 issue and one P3 gap.

## Overview

- 🟠 P2 · 🛡️ SEC-1 · Corrupted BITZ frames are accepted if garbage follows a valid Arrow stream (96%) · libtenzir/builtins/formats/bitz.cpp:209
- 🟡 P3 · 🧪 TST-1 · The new tests miss payload-corruption and compatibility coverage (93%) · test/tests/operators/bitz/round_trip.tql:1

## Findings

### 🟠 P2 · 🛡️ SEC-1 · Corrupted BITZ frames are accepted if garbage follows a valid Arrow stream · 96%

- File: libtenzir/builtins/formats/bitz.cpp:209-247
- Issue: ...
- Reasoning: ...
- Evidence: ...
- Suggestion: ...

### 🟡 P3 · 🧪 TST-1 · The new tests miss payload-corruption and compatibility coverage · 93%

- File: test/tests/operators/bitz/round_trip.tql:1-6
- Issue: ...
- Reasoning: ...
- Evidence: ...
- Suggestion: ...

## Verdict

**Needs changes**

| 🔴 P1 | 🟠 P2 | 🟡 P3 | ⚪ P4 |
| :---: | :---: | :---: | :---: |
|   0   |   1   |   1   |   0   |

- Reject BITZ frames that contain unread tail bytes after the embedded Feather stream.
- Add a regression test for malformed message payloads and a mixed legacy/new compatibility fixture.
- Merge after the parser validation bug is fixed.

The verdict label should be one of:

  • Ship it: no findings, or only P4 nits.
  • Ship with fixes: P3 or below; nothing blocking.
  • Needs changes: at least one P2 that should be resolved before merge.
  • Blocked: at least one P1; do not merge.

Write verdict bullets as concrete next steps.

Technical Lenses

Load only the lenses that matter for the current diff:

Prior Reviewer Feedback

When the change already has review comments or the user asks how to respond, read reviewer feedback. Use that input to sharpen findings, verify whether comments still apply, and draft concise responses after the technical review is complete. Carry prior feedback into the review by translating each still-valid concern into the appropriate technical finding.

GitHub pull requests

When reviewing a GitHub pull request, check for existing review comments and unresolved threads up front. If any exist, read reviewer feedback and GitHub pull request reviews before reviewing the diff. Surface each still-valid concern as the appropriate technical finding, and add a Source line that links directly to the GitHub comment. Use the GitHub-specific reference to decide whether to reply, resolve, discuss further, or leave the thread open.

平台分布

Codex

37.75%
按下载量换算140

Claude

32.6%
按下载量换算121

Cursor

17.67%
按下载量换算66

Gemini CLI

9.83%
按下载量换算36

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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