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Agent Skill · 研究检索

differential-review(差别审查)

differential-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。

differential-review 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,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 49,632。

总安装 643周安装 26GitHub Stars 35,707下载 202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:differential-review(差别审查)
来源仓库:https://github.com/sickn33/antigravity-awesome-skills
仓库路径:skills/differential-review
安装命令:
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill differential-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/sickn33/antigravity-awesome-skills --skill differential-review

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。

用于查找、检索和筛选相关信息。differential-review 属于研究检索类 Skill,可作为该场景下的辅助能力补充。适合根据关键词或任务场景快速定位候选结果。可结合来源仓库和原始 README 核验具体用法。安装前建议确认权限范围和维护状态。注意是否会触发联网、命令执行或文件读写操作。

来源仓库内路径:skills/differential-review

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/sickn33/antigravity-awesome-skills --skill dif…;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

differential-review 怎么安装?

在终端执行 npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill differential-…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

differential-review 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。

differential-review 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。

differential-review 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。

differential-review 用的人多吗?

公开数据是累计安装 643 次,近一周安装 26 次,下载 202 次,GitHub 35,707 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。

differential-review 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 来源仓库有 35,707 星,维护活跃度相对可查。

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
differential-review

差别审查 · 本页

64335,707需要联网未明确通过

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

Differential Security Review

Security-focused code review for PRs, commits, and diffs.

When to Use

  • You need a security-focused review of a PR, commit range, or diff rather than a general code review.
  • The changes touch auth, crypto, external calls, value transfer, permissions, or other high-risk logic.
  • You need findings backed by code evidence, attack scenarios, and an explicit report artifact.

Core Principles

  1. Risk-First: Focus on auth, crypto, value transfer, external calls
  2. Evidence-Based: Every finding backed by git history, line numbers, attack scenarios
  3. Adaptive: Scale to codebase size (SMALL/MEDIUM/LARGE)
  4. Honest: Explicitly state coverage limits and confidence level
  5. Output-Driven: Always generate comprehensive markdown report file

Rationalizations (Do Not Skip)

RationalizationWhy It's WrongRequired Action
"Small PR, quick review"Heartbleed was 2 linesClassify by RISK, not size
"I know this codebase"Familiarity breeds blind spotsBuild explicit baseline context
"Git history takes too long"History reveals regressionsNever skip Phase 1
"Blast radius is obvious"You'll miss transitive callersCalculate quantitatively
"No tests = not my problem"Missing tests = elevated risk ratingFlag in report, elevate severity
"Just a refactor, no security impact"Refactors break invariantsAnalyze as HIGH until proven LOW
"I'll explain verbally"No artifact = findings lostAlways write report

Quick Reference

Codebase Size Strategy

Codebase SizeStrategyApproach
SMALL (<20 files)DEEPRead all deps, full git blame
MEDIUM (20-200)FOCUSED1-hop deps, priority files
LARGE (200+)SURGICALCritical paths only

Risk Level Triggers

Risk LevelTriggers
HIGHAuth, crypto, external calls, value transfer, validation removal
MEDIUMBusiness logic, state changes, new public APIs
LOWComments, tests, UI, logging

Workflow Overview

Pre-Analysis → Phase 0: Triage → Phase 1: Code Analysis → Phase 2: Test Coverage
    ↓              ↓                    ↓                        ↓
Phase 3: Blast Radius → Phase 4: Deep Context → Phase 5: Adversarial → Phase 6: Report

Decision Tree

Starting a review?

├─ Need detailed phase-by-phase methodology?
│  └─ Read: methodology.md
│     (Pre-Analysis + Phases 0-4: triage, code analysis, test coverage, blast radius)
│
├─ Analyzing HIGH RISK change?
│  └─ Read: adversarial.md
│     (Phase 5: Attacker modeling, exploit scenarios, exploitability rating)
│
├─ Writing the final report?
│  └─ Read: reporting.md
│     (Phase 6: Report structure, templates, formatting guidelines)
│
├─ Looking for specific vulnerability patterns?
│  └─ Read: patterns.md
│     (Regressions, reentrancy, access control, overflow, etc.)
│
└─ Quick triage only?
   └─ Use Quick Reference above, skip detailed docs

Quality Checklist

Before delivering:

  • All changed files analyzed
  • Git blame on removed security code
  • Blast radius calculated for HIGH risk
  • Attack scenarios are concrete (not generic)
  • Findings reference specific line numbers + commits
  • Report file generated
  • User notified with summary

Integration

audit-context-building skill:

  • Pre-Analysis: Build baseline context
  • Phase 4: Deep context on HIGH RISK changes

issue-writer skill:

  • Transform findings into formal audit reports
  • Command: issue-writer --input DIFFERENTIAL_REVIEW_REPORT.md --format audit-report

Example Usage

Quick Triage (Small PR)

Input: 5 file PR, 2 HIGH RISK files
Strategy: Use Quick Reference
1. Classify risk level per file (2 HIGH, 3 LOW)
2. Focus on 2 HIGH files only
3. Git blame removed code
4. Generate minimal report
Time: ~30 minutes

Standard Review (Medium Codebase)

Input: 80 files, 12 HIGH RISK changes
Strategy: FOCUSED (see methodology.md)
1. Full workflow on HIGH RISK files
2. Surface scan on MEDIUM
3. Skip LOW risk files
4. Complete report with all sections
Time: ~3-4 hours

Deep Audit (Large, Critical Change)

Input: 450 files, auth system rewrite
Strategy: SURGICAL + audit-context-building
1. Baseline context with audit-context-building
2. Deep analysis on auth changes only
3. Blast radius analysis
4. Adversarial modeling
5. Comprehensive report
Time: ~6-8 hours

When NOT to Use This Skill

  • Greenfield code (no baseline to compare)
  • Documentation-only changes (no security impact)
  • Formatting/linting (cosmetic changes)
  • User explicitly requests quick summary only (they accept risk)

For these cases, use standard code review instead.


Red Flags (Stop and Investigate)

Immediate escalation triggers:

  • Removed code from "security", "CVE", or "fix" commits
  • Access control modifiers removed (onlyOwner, internal → external)
  • Validation removed without replacement
  • External calls added without checks
  • High blast radius (50+ callers) + HIGH risk change

These patterns require adversarial analysis even in quick triage.


Tips for Best Results

Do:

  • Start with git blame for removed code
  • Calculate blast radius early to prioritize
  • Generate concrete attack scenarios
  • Reference specific line numbers and commits
  • Be honest about coverage limitations
  • Always generate the output file

Don't:

  • Skip git history analysis
  • Make generic findings without evidence
  • Claim full analysis when time-limited
  • Forget to check test coverage
  • Miss high blast radius changes
  • Output report only to chat (file required)

Supporting Documentation

  • methodology.md - Detailed phase-by-phase workflow (Phases 0-4)
  • adversarial.md - Attacker modeling and exploit scenarios (Phase 5)
  • reporting.md - Report structure and formatting (Phase 6)
  • patterns.md - Common vulnerability patterns reference

For first-time users: Start with methodology.md to understand the complete workflow.

For experienced users: Use this page's Quick Reference and Decision Tree to navigate directly to needed content.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

平台分布

Codex

39.04%
按下载量换算79

Claude

27.97%
按下载量换算56

Cursor

17.17%
按下载量换算35

Gemini CLI

10.02%
按下载量换算20

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

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。目前只有一个公开来源,建议同时核对源仓库。

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