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Agent Skill · 开发

skill-improver(技能提高者)

skill-improver 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

skill-improver 是开发类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在开发类的 21,746 个 Skill 里排第 1,218。

总安装 36,360周安装 1,519GitHub Stars 4,872下载 11,880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:skill-improver(技能提高者)
来源仓库:https://github.com/trailofbits/skills
仓库路径:skills/skill-improver
安装命令:
npx skills add https://github.com/trailofbits/skills --skill skill-improver
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/trailofbits/skills --skill skill-improver

这个 Skill 是做什么的

开发类 Skill 面向写代码、改代码和排查问题,一般会读写仓库文件,部分还会执行构建或测试命令。

通过自动审查修复周期迭代地完善 Claude 代码技能,直到达到质量标准。

运行重复的技能审核员评估并在连续循环中应用修复,仅在关键和主要问题得到解决时停止 按严重性对问题进行分类:关键(缺少前题、路径损坏)、主要(弱触发器、缺少指导部分)和次要(需要单独评估的风格偏好) 需要插件开发 插件,仅适用于技能目录中的 SKILL.md 文件 最适合多问题技能或需要系统完善的新技能;使用 /skill-reviewer 直接进行一次性评审

来源仓库内路径:skills/skill-improver

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/trailofbits/skills --skill skill-improver;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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

skill-improver 怎么安装?

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

skill-improver 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。

skill-improver 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

skill-improver 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。

skill-improver 用的人多吗?

公开数据是累计安装 36,360 次,近一周安装 1,519 次,下载 11,880 次,GitHub 4,872 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。

skill-improver 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 4,872 星,维护活跃度相对可查。
  • 标注为只读权限,试用阶段不容易误改本地文件。

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。
  • 需要处理开发类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

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。

开发类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
skill-vetter

技能审查员 · OpenClaw

8,779,018986操作浏览器MIT-0通过
ontology

本体论 · OpenClaw

6,636,960576只读MIT-0通过
entra-app-registration

内部应用程序注册 · Codex、Claude

6,631,872764接触敏感数据未明确通过
entra-app-registration

内部应用程序注册 · Codex、Claude

3,757,680201接触敏感数据未明确通过
nano-banana-pro

纳米香蕉专业版 · OpenClaw

3,526,898364接触敏感数据MIT-0有提醒
skill-improver

技能提高者 · 本页

36,3604,872只读未明确通过

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

Skill Improvement Methodology

Iteratively improve a Claude Code skill using the skill-reviewer agent until it meets quality standards.

Prerequisites

Requires the plugin-dev plugin which provides the skill-reviewer agent.

Verify it's enabled: run /plugins — plugin-dev should appear in the list. If missing, install from the Trail of Bits plugin repository.

Core Loop

  1. Review - Call skill-reviewer on the target skill
  2. Categorize - Parse issues by severity
  3. Fix - Address critical and major issues
  4. Evaluate - Check minor issues for validity before fixing
  5. Repeat - Continue until quality bar is met

When to Use

  • Improving a skill with multiple quality issues
  • Iterating on a new skill until it meets standards
  • Automated fix-review cycles instead of manual editing
  • Consistent quality enforcement across skills

When NOT to Use

  • One-time review: Use /skill-reviewer directly instead
  • Quick single fixes: Edit the file directly
  • Non-skill files: Only works on SKILL.md files
  • Experimental skills: Manual iteration gives more control during exploration

Issue Categorization

Critical Issues (MUST fix immediately)

These block skill loading or cause runtime failures:

  • Missing required frontmatter fields (name, description) — Claude cannot index or trigger the skill
  • Invalid YAML frontmatter syntax — Parsing fails, skill won't load
  • Referenced files that don't exist — Runtime errors when Claude follows links
  • Broken file paths — Same as above, leads to tool failures

Major Issues (MUST fix)

These significantly degrade skill effectiveness:

  • Weak or vague trigger descriptions — Claude may not recognize when to use the skill
  • Wrong writing voice (second person "you" instead of imperative) — Inconsistent with Claude's execution model
  • SKILL.md exceeds 500 lines without using references/ — Overloads context, reduces comprehension
  • Missing "When to Use" or "When NOT to Use" sections — Required by project quality standards
  • Description doesn't specify when to trigger — Skill may never be selected

Minor Issues (Evaluate before fixing)

These are polish items that may or may not improve the skill:

  • Subjective style preferences — Reviewer may have different taste than author
  • Optional enhancements — May add complexity without proportional value
  • "Nice to have" improvements — Consider cost-benefit before implementing
  • Formatting suggestions — Often valid but low impact

Minor Issue Evaluation

Before implementing any minor issue fix, evaluate:

  1. Is this a genuine improvement? - Does it add real value or just satisfy a preference?
  2. Could this be a false positive? - Is the reviewer misunderstanding context?
  3. Would this actually help Claude use the skill? - Focus on functional improvements

Only implement minor fixes that are clearly beneficial. Skill-reviewer may produce false positives.

Invoking skill-reviewer

Use the skill-reviewer agent from the plugin-dev plugin. Request a review by asking Claude to:

Review the skill at [SKILL_PATH] using the plugin-dev:skill-reviewer agent. Provide a detailed quality assessment with issues categorized by severity.

Replace [SKILL_PATH] with the absolute path to the skill directory (e.g., /path/to/plugins/my-plugin/skills/my-skill).

Example Fix Cycle

Iteration 1 — skill-reviewer output:

Critical: SKILL.md:1 - Missing required 'name' field in frontmatter
Major: SKILL.md:3 - Description uses second person ("you should use")
Major: Missing "When NOT to Use" section
Minor: Line 45 is verbose

Fixes applied:

  • Added name field to frontmatter
  • Rewrote description in third person
  • Added "When NOT to Use" section

Iteration 2 — run skill-reviewer again to verify fixes:

Minor: Line 45 is verbose

Minor issue evaluation: Line 45 communicates effectively as-is. The verbosity provides useful context. Skip.

All critical/major issues resolved. Output the completion marker:

<skill-improvement-complete>

Note: The marker MUST appear in the output. Statements like "quality bar met" or "looks good" will NOT stop the loop.

Completion Criteria

CRITICAL: The stop hook ONLY checks for the explicit marker below. No other signal will terminate the loop.

Output this marker when done:

<skill-improvement-complete>

When to output the marker:

  1. skill-reviewer reports "Pass" or no issues found → output marker immediately
  2. All critical and major issues are fixed AND you've verified the fixes → output marker
  3. Remaining issues are only minor AND you've evaluated them as false positives or not worth fixing → output marker

When NOT to output the marker:

  • Any critical issue remains unfixed
  • Any major issue remains unfixed
  • You haven't run skill-reviewer to verify your fixes worked

The marker is the ONLY way to complete the loop. Natural language like "looks good" or "quality bar met" will NOT stop the loop.

Rationalizations to Reject

  • "I'll just mark it complete and come back later" - Fix issues now
  • "This minor issue seems wrong, I'll skip all of them" - Evaluate each one individually
  • "The reviewer is being too strict" - The quality bar exists for a reason
  • "It's good enough" - If there are major issues, it's not good enough

平台分布

Codex

38.83%
按下载量换算4,613

Claude

27.87%
按下载量换算3,311

Cursor

18.71%
按下载量换算2,223

Gemini CLI

8.51%
按下载量换算1,011

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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