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Agent Skill · 研究检索

simplify-code(简化代码)

simplify-code 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。

simplify-code 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 46,747。

总安装 766周安装 31GitHub Stars 35,669下载 241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:simplify-code(简化代码)
来源仓库:https://github.com/sickn33/antigravity-awesome-skills
仓库路径:skills/simplify-code
安装命令:
npx skills add https://github.com/sickn33/antigravity-awesome-skills --skill simplify-code
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 simplify-code

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。

simplify-code 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。它属于研究检索类技能,适用于多种宿主环境。当前暂无更多功能细节,需参考原始文档进一步了解。

来源仓库内路径:skills/simplify-code

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 sim…;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

simplify-code 怎么安装?

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

simplify-code 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。

simplify-code 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。

simplify-code 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。

simplify-code 用的人多吗?

公开数据是累计安装 766 次,近一周安装 31 次,下载 241 次,GitHub 35,669 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。

simplify-code 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 35,669 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
simplify-code

简化代码 · 本页

76635,669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

Simplify Code

Review changed code for reuse, quality, efficiency, and clarity issues. Use Codex sub-agents to review in parallel, then optionally apply only high-confidence, behavior-preserving fixes.

When to Use

  • When the user asks to simplify, clean up, refactor, or review changed code.
  • When you want high-confidence, behavior-preserving improvements on a scoped diff.

Modes

Choose the mode from the user's request:

  • review-only: user asks to review, audit, or check the changes
  • safe-fixes: user asks to simplify, clean up, or refactor the changes
  • fix-and-validate: same as safe-fixes, but also run the smallest relevant validation after edits

If the user does not specify, default to:

  • review-only for "review", "audit", or "check"
  • safe-fixes for "simplify", "clean up", or "refactor"

Step 1: Determine the Scope and Diff Command

Prefer this scope order:

  1. Files or paths explicitly named by the user
  2. Current git changes
  3. Files edited earlier in the current Codex turn
  4. Most recently modified tracked files, only if the user asked for a review but there is no diff

If there is no clear scope, stop and say so briefly.

When using git changes, determine the smallest correct diff command based on the repo state:

  • unstaged work: git diff
  • staged work: git diff --cached
  • branch or commit comparison explicitly requested by the user: use that exact diff target
  • mixed staged and unstaged work: review both

Do not assume git diff HEAD is the right default when a smaller diff is available.

Before reviewing standards or applying fixes, read the repo's local instruction files and relevant project docs for the touched area. Prefer the closest applicable guidance, such as:

  • AGENTS.md
  • repo workflow docs
  • architecture or style docs for the touched module

Use those instructions to distinguish real issues from intentional local patterns.

Step 2: Launch Four Review Sub-Agents in Parallel

Use Codex sub-agents when the scope is large enough for parallel review to help. For a tiny diff or one very small file, it is acceptable to review locally instead.

When spawning sub-agents:

  • give each sub-agent the same scope
  • tell each sub-agent to inspect only its assigned review role
  • ask for concise, structured findings only
  • ask each sub-agent to report file, line or symbol, problem, recommended fix, and confidence

Use four review roles.

Sub-Agent 1: Code Reuse Review

Review the changes for reuse opportunities:

  1. Search for existing helpers, utilities, or shared abstractions that already solve the same problem.
  2. Flag duplicated functions or near-duplicate logic introduced in the change.
  3. Flag inline logic that should call an existing helper instead of re-implementing it.

Recommended sub-agent role: explorer for broad codebase lookup, or reviewer if a stronger review pass is more useful than wide search.

Sub-Agent 2: Code Quality Review

Review the same changes for code quality issues:

  1. Redundant state, cached values, or derived values stored unnecessarily
  2. Parameter sprawl caused by threading new arguments through existing call chains
  3. Copy-paste with slight variation that should become a shared abstraction
  4. Leaky abstractions or ownership violations across module boundaries
  5. Stringly-typed values where existing typed contracts, enums, or constants already exist

Recommended sub-agent role: reviewer

Sub-Agent 3: Efficiency Review

Review the same changes for efficiency issues:

  1. Repeated work, duplicate reads, duplicate API calls, or unnecessary recomputation
  2. Sequential work that could safely run concurrently
  3. New work added to startup, render, request, or other hot paths without clear need
  4. Pre-checks for existence when the operation itself can be attempted directly and errors handled
  5. Memory growth, missing cleanup, or listener/subscription leaks
  6. Overly broad reads or scans when the code only needs a subset

Recommended sub-agent role: reviewer

Sub-Agent 4: Clarity and Standards Review

Review the same changes for clarity, local standards, and balance:

  1. Violations of local project conventions or module patterns
  2. Unnecessary complexity, deep nesting, weak names, or redundant comments
  3. Overly compact or clever code that reduces readability
  4. Over-simplification that collapses separate concerns into one unclear unit
  5. Dead code, dead abstractions, or indirection without value

Recommended sub-agent role: reviewer

Only report issues that materially improve maintainability, correctness, or cost. Do not churn code just to make it look different.

Step 3: Aggregate Findings

Wait for all review sub-agents to complete, then merge their findings.

Normalize findings into this shape:

  1. File and line or nearest symbol
  2. Category: reuse, quality, efficiency, or clarity
  3. Why it is a problem
  4. Recommended fix
  5. Confidence: high, medium, or low

Discard weak, duplicative, or instruction-conflicting findings before editing.

Step 4: Fix Issues Carefully

In review-only mode, stop after reporting findings.

In safe-fixes or fix-and-validate mode:

  • Apply only high-confidence, behavior-preserving fixes
  • Skip subjective refactors that need product or architectural judgment
  • Preserve local patterns when they are intentional or instruction-backed
  • Keep edits scoped to the reviewed files unless a small adjacent change is required to complete the fix correctly

Prefer fixes like:

  • replacing duplicated code with an existing helper
  • removing redundant state or dead code
  • simplifying control flow without changing behavior
  • narrowing overly broad operations
  • renaming unclear locals when the scope is contained

Do not stage, commit, or push changes as part of this skill.

Step 5: Validate When Required

In fix-and-validate mode, run the smallest relevant validation for the touched scope after edits.

Examples:

  • targeted tests for the touched module
  • typecheck or compile for the touched target
  • formatter or lint check if that is the project's real safety gate

Prefer fast, scoped validation over full-suite runs unless the change breadth justifies more.

If validation is skipped because the user asked not to run it, say so explicitly.

Step 6: Summarize Outcome

Close with a brief result:

  • what was reviewed
  • what was fixed, if anything
  • what was intentionally left alone
  • whether validation ran

If the code is already clean for this rubric, say that directly instead of manufacturing edits.

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

36.12%
按下载量换算87

Claude

28.58%
按下载量换算69

Cursor

18.53%
按下载量换算45

Gemini CLI

8.7%
按下载量换算21

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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