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Agent Skill · 前端设计

agent-skill-linter(Agent 技能检查)

agent-skill-linter 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。

agent-skill-linter 是前端设计类 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,按安装量在前端设计类的 10,216 个 Skill 里排第 5,445。

总安装 672周安装 28GitHub Stars 1下载 224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:agent-skill-linter(Agent 技能检查)
来源仓库:https://github.com/william-yeh/agent-skill-linter
仓库路径:skills/agent-skill-linter
安装命令:
npx skills add https://github.com/william-yeh/agent-skill-linter --skill agent-skill-linter
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/william-yeh/agent-skill-linter --skill agent-skill-linter

这个 Skill 是做什么的

前端设计类 Skill 关注页面结构、视觉规范和组件写法,输出通常是可运行的界面代码。

用于检查 Agent 技能的规范符合性和发布准备状态。适合在创建或修改技能时进行合规性验证。agent-skill-linter 属于前端设计类 Skill,可作为该场景下的辅助能力补充。通过 GitHub 安装,聚焦 skill/ 目录的结构检查。可识别目录布局、命名规则和必要文件缺失问题。

帮助确保技能遵循标准格式,提升可复用性。

来源仓库内路径:skills/agent-skill-linter

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/william-yeh/agent-skill-linter --skill agent-s…;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

agent-skill-linter 怎么安装?

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

agent-skill-linter 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。

agent-skill-linter 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。

agent-skill-linter 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。

agent-skill-linter 用的人多吗?

公开数据是累计安装 672 次,近一周安装 28 次,下载 224 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。

agent-skill-linter 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。
  • 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。
  • 需要处理前端设计类任务、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。

前端设计类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
frontend-design

前端设计 · Codex、Claude

8,823,360126,072只读MIT通过
vercel-composition-patterns

Vercel 组合模式 · Codex、Claude

3,858,81625,893需要联网MIT通过
vercel-react-native-skills

Vercel React native skills 前端 · Codex、Claude

2,468,66425,878只读MIT通过
adapt

adapt 搜索 · Codex、Claude

2,027,04023,125操作浏览器未明确通过
bolder

bolder 分析 · Codex、Claude

2,004,28823,130只读未明确通过
agent-skill-linter

Agent 技能检查 · 本页

6721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

Agent Skill Linter

Checks agent skills for spec compliance and publishing readiness.

Expected Layout

A well-structured skill repo separates agent-facing files (installed by npx skills add) from repo artifacts:

my-skill/
├── skill/               ← only this dir is installed by npx
│   ├── SKILL.md
│   ├── references/
│   │   └── fix-templates.md
│   └── scripts/         ← skill-invoked scripts (optional)
│       └── main.py
├── src/                 ← linter/library source (not installed)
├── tests/
├── README.md
├── LICENSE
├── pyproject.toml
└── .github/
    └── workflows/

The lint target is the skill/ subdirectory (or repo root for older repos with no skill/ dir).

Triage Workflow

Target: the skill directory to lint — current directory (.) or a path provided by the user.

Step 1 — Get the full picture

./scripts/skill-lint.py check <target>

Step 2 — Fix Errors first

Rule 1 (SKILL.md spec compliance) blocks publishing. Fix before anything else.

Step 3 — Auto-fix Warnings

./scripts/skill-lint.py check <target> --fix

For fixable rules without CLI, use the templates in references/fix-templates.md.

Step 4 — Resolve remaining Warnings manually

CSO description prefix (Rule 11), Python invocations (Rule 13), README-tier sections in SKILL.md (Rule 19) — see the rule table below.

Step 5 — Semantic review: CSO signal

Rule 11 catches structural patterns but not meaning. Read the description and name frontmatter and ask: do they function purely as routing signals?

See references/semantic-rules.md — Rules 12 and 18 for examples.

Flag the description if it:

  • Enumerates what the skill checks, handles, or supports
  • Reads as a feature summary or workflow overview
  • Contains elaboration labels (Triggers on:, Use cases:, Checks:) or multiple sentences
  • Could be trimmed to one clause without losing routing precision

Flag the name if it reads as a noun phrase rather than an action — prefer gerunds (creating-skills, processing-pdfs) over noun forms (skill-creator, pdf-processor). Short well-known names (pdf, commit) are fine.

A good description names the trigger condition only. Everything else belongs in the skill body.

Step 6 — Semantic review: starter prompts

Rule 7 detects whether prompts exist, not whether they're useful. Read the Usage section starter prompts and ask: do they reflect genuine, distinct trigger scenarios?

Flag them if they:

  • Are vague or generic (e.g. Use this skill, Run the linter)
  • All describe the same scenario with minor wording variation
  • Don't reflect the range of contexts a real user would encounter

Step 7 — Semantic review: content overlap

The linter does not check this. Ask: is the same information conveyed in different words across SKILL.md and README?

See references/semantic-rules.md — Rule 8 for examples.

Flag paraphrased repetition. SKILL.md should be agent-focused (triage workflow, rules); README should be human-focused (installation, usage examples).

Step 8 — Semantic review: progressive disclosure

Rule 15 flags known reference-tier keywords, but not all reactive content has a recognizable heading. Ask: would an agent look up this section reactively rather than read it upfront?

See references/semantic-rules.md — Rule 16 for examples.

Flag sections for references/ if they:

  • Are reference material regardless of their heading name (e.g. "Background", "How It Works")
  • Are dense or conditional — even if short and not caught by Rule 15
  • Are step-specific detail blocks that bulk up the main workflow without being needed upfront

Step 9 — Address Info items as polish

Body length (Rule 9), non-standard dirs (Rule 10), skill isolation (Rule 17).

What It Checks

#RuleSeverityAuto-fix
1SKILL.md spec compliance (via skills-ref)Error—
2LICENSE exists, Apache-2.0 or MIT, current yearWarningPartial
3metadata.author in SKILL.md frontmatterWarningYes
4README badges (CI, license, Agent Skills)WarningYes
5.github/workflows/ has CI workflowWarningYes
6README has Installation sectionWarningYes
7README has Usage section with starter prompts + CLI subsectionWarningPartial + Step 6
9SKILL.md body < 500 linesInfo—
10Non-standard directories flaggedInfo—
11CSO: description starts with "Use when..."WarningStep 5
13Python invocation consistency (uv run python in uv projects)Warning—
14Progressive disclosure: embedded templates (4-backtick fences) → references/WarningYes
15Progressive disclosure: reference-tier headings (Troubleshooting, FAQ, Advanced…) → references/WarningYes + Step 8
17Skill isolation: SKILL.md at repo root alongside non-skill artifactsInfo—
19Division of labor: README-tier sections (Installation, Features, Getting Started…) in SKILL.mdWarning—
20Triage workflow has 3+ steps but no semantic review step (e.g. "Ask: does it…")InfoStep 5–8
21Python entry-point scripts in scripts/ lack PEP 723 inline dependency metadataWarning—

CLI Reference

./scripts/skill-lint.py check .                            # Lint repo-root skill
./scripts/skill-lint.py check ./my-skill --fix             # Auto-fix fixable issues
./scripts/skill-lint.py check ./my-skill --format json     # JSON output for CI

Exit code 1 on errors, 0 otherwise.

平台分布

Codex

37.37%
按下载量换算84

Claude

29.2%
按下载量换算65

Cursor

19.17%
按下载量换算43

Gemini CLI

8.92%
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

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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