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Claude Skill
productivity
MIT

agents

Plugins, agents, skills, and commands for Claude Code, Codex CLI, Cursor, OpenCode, Antigravity CLI, GitHub Copilot, and Pi, written once in Markdown and adapted to each tool by generators with validation and evals.

wshobsonwshobson
39/ 100

公开评测 · 综合采用结论

检测到关键风险,修复前不建议接入

查看评测依据 评测我的项目基于公开项目证据,非安全认证或安装推荐
42.4kstars
4.5kforks
最近更新 3天前
评测生成时间(北京时间)
本报告引擎
v3.17.3
当前引擎
v3.17.3

规则版本一致,但报告只反映生成时的证据,不代表项目代码和安全状态始终不变。

重新评测此项目

进入后确认来源与额度,提交才会创建任务。

核对代码版本与送评文本摘要

仅记录实际送评的受限文本,不是完整仓库审计、安装结果或运行时安全保证。Stars、下载量和仓库元数据为采集时的独立信号,不属于此 commit 快照。

wshobson/agents @ 4bde3168b43c0655c4d00ea2726e631719908a6d

目录树:69789c716f1cd5f669c2c1a1596963338408ead1

README 来源:README.md

  • README.md · 10120 字符
    SHA-256: fa2d6d0adda7de1f7f76c57bf30ac8493eeb45618c909f61f831034721758397
  • plugins/accessibility-compliance/skills/screen-reader-testing/SKILL.md · 6423 字符
    SHA-256: d7a4190a8869fcd60e38e1dc0d92d62573d025e46afb3a03eba140e841d7185d
  • plugins/accessibility-compliance/skills/wcag-audit-patterns/SKILL.md · 2439 字符
    SHA-256: db263a3405deb95a63175f33da4a9d82d8595599fbee4a81979059b35a7cec40
  • plugins/agent-teams/skills/multi-reviewer-patterns/SKILL.md · 5182 字符
    SHA-256: 30a8e067af085d6ddbf4f3775b212b0b24137ecc431a3e8570e3d6a09823a62a
  • plugins/agent-teams/skills/parallel-debugging/SKILL.md · 4748 字符
    SHA-256: 31b6e288504f465cfecb2ff18ec014a836448a246f61f7a8e10c5462df5520d4
  • plugins/agent-teams/skills/parallel-feature-development/SKILL.md · 6629 字符
    SHA-256: 9d39b7d0f3011a8e0f468d000987758f6ac493edc6e6fe73227fa3e75e209458
  • plugins/agent-teams/skills/task-coordination-strategies/SKILL.md · 4604 字符
    SHA-256: e6e0c3f64b01f50d549a04d89c9a94128c5f0d24969c6e412952ff8cd9de36d7
  • plugins/agent-teams/skills/team-communication-protocols/SKILL.md · 7340 字符
    SHA-256: 5a356d8814f2b38312b83b6e3b4e5bf06e26423338a8ea568b9ff2ed3266ff1d
  • plugins/agent-teams/skills/team-composition-patterns/SKILL.md · 8152 字符
    SHA-256: e158dd0e38d875f7efd8d22fc00f800293585c9a44cce7c0715715f87feb164a
  • plugins/api-scaffolding/skills/fastapi-templates/SKILL.md · 4281 字符
    SHA-256: dba8e1287ae03591198ea0ea638bb9862ec3c7b5cbdeb1163368f3ebc9487cb6
  • plugins/avoid-ai-writing/skills/avoid-ai-writing/SKILL.md · 7666 字符
    SHA-256: 3b0940b0014a64aaff405f367e44241095c96856cabcd0a01adf0ec33bbc1a66
  • plugins/backend-development/skills/api-design-principles/SKILL.md · 3603 字符
    SHA-256: 1f6166c23c0a0f32d703c19d84b3c30c2873daefb9e8732339a009934fa17013
  • plugins/backend-development/skills/architecture-patterns/SKILL.md · 7926 字符
    SHA-256: 350caf22b856b7d2908a10a69a8cc13e743c757ba9838716051b4e29fc1d7595
  • plugins/backend-development/skills/cqrs-implementation/SKILL.md · 2875 字符
    SHA-256: 03102920d27186143fe6349cda929b50c18733e989bc3f2b491667f26fa9fe34
  • plugins/backend-development/skills/event-store-design/SKILL.md · 3310 字符
    SHA-256: 66bcb9ad668a029829ad5b573457f61ebb987018dc4d60023352fac8cd5d5400
  • plugins/backend-development/skills/microservices-patterns/SKILL.md · 2125 字符
    SHA-256: c9d34026de5eb5b9f730604d1979df9aaa58dd7fa40c022e071da5ca65d68759
  • plugins/backend-development/skills/projection-patterns/SKILL.md · 2260 字符
    SHA-256: b05b06b24ea2c6287d4b3957547b263df43c2cc945ea3acdcd58f513a0bda1d5
  • plugins/backend-development/skills/saga-orchestration/SKILL.md · 6007 字符
    SHA-256: 95372f5b8235053557c135d9d8a6d785d2feb9af1187230a72c8285aa38793f5
  • plugins/backend-development/skills/temporal-python-testing/SKILL.md · 4931 字符
    SHA-256: 71810389b45511818642e75ae114f7cc4c9425920f2cdb67714a1137091f2267
  • plugins/backend-development/skills/workflow-orchestration-patterns/SKILL.md · 3478 字符
    SHA-256: f4418f98189bd89d7b801ec65df48b53caa1c555a23f1d9684799415818f1024
  • plugins/before-you-build/skills/before-you-build/SKILL.md · 2794 字符
    SHA-256: e5ce9fc6e4efcb3cf5499333db288f678d563ab265ed03c89c1c5708693b595a
  • plugins/block-no-verify/skills/block-no-verify-hook/SKILL.md · 7505 字符
    SHA-256: d8e59e994efd649bd82db504cc9286522a62263745751f97682f2162c06d525f
  • plugins/blockchain-web3/skills/defi-protocol-templates/SKILL.md · 7460 字符
    SHA-256: 999a8cee52c9ec620c05fb7f9c4c4f0dc73e40fe167273fbbcd3046b5e69c177
  • plugins/blockchain-web3/skills/nft-standards/SKILL.md · 7633 字符
    SHA-256: d09d83e78525ccc8b78a1c34904454989037f339a12d5ef9b212cf96fb6fd8bf
  • plugins/blockchain-web3/skills/solidity-security/SKILL.md · 3565 字符
    SHA-256: ce1b1bce04f868cbe48b4a765839d3f589e5f15c2c47f52b4b1ca9a1306ae779

摘要对应送评 UTF-8 文本,可能为限额节选,不等于 Git blob SHA。来源由采集方提供,摘要本身不证明来源真实性。

Evaluation report

综合采用结论

39
F
满分 100 · 静态采用参考
暂不建议使用关键风险
决策摘要

检测到关键风险,修复前不建议接入

98%
高置信度
100
文档
78
安全
81
质量
100
活跃
65
采用
  • 基础评测完成+25/25确定性评分与静态安全扫描已完成
  • README 有效证据+23/259,259 个去重后的有效字符
  • 独立证据来源+20/205 类非重复证据,重复文件不叠加
  • 仓库元数据+10/10已取得仓库状态与采用数据
  • 活跃记录+5/5已取得最近提交时间
  • AI 复核+15/15已完成结构化 AI 证据复核

本报告评了什么

综合分用于静态采用筛选,不是任务成功率,也不代表使用 Skill 后的能力提升。

静态检查范围
记录 25 个文件 · 133,056 字符
只检查采集到的受限文本与已知风险模式;未读取的脚本、依赖和运行环境不在结论内。
AI 内容复核
已使用
复核送评文本的说明和设计,不是安装测试或实际任务执行。记录缺失时不推断已使用或未使用。
真实任务效果
本报告未提供实测证据
没有使用/不使用 Skill 的任务对照、重复运行或耗时与 token 成本结果。采用前仍需在隔离环境验证自己的任务。

脚本引用覆盖

脚本引用覆盖记录不可得;不推断没有引用或已经检查。

How it works · 架构图

多工具适配与校验流程

README 描述单一 Markdown 源经适配器生成各工具格式并由 CI 校验,属组件与依赖关系而非时序交互

AI 提取 · 证据约束

左右滑动查看完整图示

多工具适配与校验流程README 描述单一 Markdown 源经适配器生成各工具格式并由 CI 校验,属组件与依赖关系而非时序交互读取并转换生成格式校验与 CLI 运行Markdown 源组件单一来源适配器格式转换各工具产物生成结果CI 校验验证
图示依据
  • • README「How it works」:贡献者维护一份 Claude Code 插件格式的 Markdown 源,适配器生成各工具所需格式
  • • README「How it works」:CI 为每个工具重新生成产物、校验并运行 OpenCode、Antigravity CLI、Pi 产物
五维表现
该仓库把 Markdown 源组件适配到七种编码工具,安装路径与校验命令具体,但多工具能力差异需查矩阵,单 Skill 复现依赖外部参考文件。
质量证据
  • 通过: Agent Skills 格式校验 24/24 个通过
  • 通过: 24 个有效 Skill 含可核实的指令步骤或示例
  • 质量评审选取 plugins/accessibility-compliance/skills/screen-reader-testing/SKILL.md;其余 23 个仅做格式扫描
  • README「Multi-harness support」表列出各工具安装方式与组件限制,如 Pi 的 agents 需 subagent 扩展
  • README「Quality evaluation」给出 make generate-all、make validate STRICT=1、make garden 及 plugin-eval score 命令
  • README 声明 LLM judge 与 Monte Carlo 层为实验性、未与人工标签验证,且模型调用计费 ANTHROPIC_API_KEY
  • SKILL.md 要求测试前阅读 references/voiceover.md、nvda.md、jaws-talkback.md 等参考文件
  • README「License」声明仓库 MIT,外部插件各自许可
采用建议
优势
  • 问题与用途描述
  • 有效 README
  • 安装或接入步骤
  • 可执行示例
  • 通过: Agent Skills 格式校验 24/24 个通过
关注点
  • 发现疑似 LLM API Key
  • 各工具支持组件不一致,需跳转 docs/harnesses.md 才能确定实际可用范围
  • 技能正文多处依赖 references/ 子文件,节选未展示其内容
  • plugin-eval 的模型调用依赖 ANTHROPIC_API_KEY 或 Claude Code 登录,成本与限制需自行阅读
  • 外部 Pensyve 条目与仓库维护者存在关联,且云服务已关闭,仅剩自托管
适合

需要在多种 AI 编码工具间复用同一套插件/技能/命令的团队、编写 Claude Code 插件并希望自动生成其他工具格式的贡献者、需要屏幕阅读器测试清单与 ARIA 示例的前端无障碍工程师

不建议直接用于

希望零配置、单命令完成安装且不关心多工具适配的用户、无法安装 uv、Python 3.12 或对应 CLI 的离线环境、需要经人工标注验证的评测分数的场景

也有自己的公开项目?先看完证据,再用当前规则生成独立报告。

评测我的项目 →
文档证据
100/100
问题与用途描述10 分
有效 README12 分
安装或接入步骤14 分
可执行示例16 分
输入、参数或工具说明11 分
输出或结果说明9 分
限制、权限或边界12 分
错误处理或排障8 分
许可证信息5 分
结构化章节3 分
安全证据
关键风险
发现疑似 LLM API Key
llm-api-keyplugins/agent-teams/skills/task-coordination-strategies/SKILL.md:2high confidence
name: task-***redacted***

修复:立即轮换密钥,并改用环境变量或 Secret Manager 注入。

优先改进清单
  1. 01立即轮换密钥,并改用环境变量或 Secret Manager 注入。
方法、证据与局限展开
数据来源

GitHub Repository API

扫描范围

25 个文件 · 133,056 字符

评测引擎

v3.17.3 · AI 内容复核:已使用(deepseek-flash)

局限
  • 静态评测不会安装或执行项目代码
  • 安全扫描基于高信号文件与已知模式,不能替代人工审计
  • 流行度只反映采用程度,不代表安全或工程质量
  • 发现 24 个 Skill;质量复核只评审 plugins/accessibility-compliance/skills/screen-reader-testing/SKILL.md,其余 23 个仅做格式扫描

30 天热度趋势

README

Plugins, agents, and skills for AI coding tools

Use one collection of plugins, agents, skills, and commands across Claude Code, OpenAI Codex CLI, Cursor, OpenCode, Antigravity CLI, GitHub Copilot, and Pi. A harness is the coding tool that loads and runs the components.

Contributors write each component once, in Markdown, in the Claude Code plugin format. Adapters under tools/adapters/ generate the format each harness reads, map model aliases to that harness's models, and translate tool permissions where the harness supports them. CI regenerates the artifacts for every harness, validates them, and runs the OpenCode, Antigravity CLI, and Pi artifacts through their installed CLIs. The capability matrix lists what each harness supports, and ARCHITECTURE.md describes the design.

The catalog contains 94 plugins, including 92 local plugins and 2 external entries. The local source contains 202 agents, 185 skills, and 105 commands. Plugins cover Python and JavaScript development, code review, testing, infrastructure, security, and other work.

Multi-harness support

Choose the harness you use and follow its setup route. Available components depend on the installation route and the harness's capabilities.

ToolInstallationComponents and limits
Claude CodePlugin marketplaceSource agents, skills, and commands; plugin-specific hooks and MCP configuration
OpenAI Codex CLINative marketplace or generated artifactsNative source skills; generated TOML agents and commands as skills use a separate route
CursorPlugin marketplaceSource agents, skills, and commands, with curated project rules
OpenCodemake install-opencodeGenerated agents, skills, and commands, with translated tool permissions
Antigravity CLImake install-antigravityGenerated plugins containing agents, skills, and commands
GitHub Copilotmake install-copilotGenerated agent profiles and skills; commands also become invocable skills
Pimake install-piGenerated skills and prompt templates; agents require a subagent extension

See the capability matrix for model mappings, tool permissions, hooks, and installation differences.

For individual skills, use a skills-only installer and select your coding tool.

How it works

A plugin groups related agents, skills, and commands under plugins/. For example, python-development contains three agents, sixteen skills, and a scaffolding command. The chosen harness loads the installed components according to its own discovery and invocation rules.

Contributors maintain one Markdown source in the Claude Code plugin format. Native registries point to that source where supported, and adapters generate the formats needed by each harness. Commands may become skills or prompt templates, and agent formats, model choices, and tool permissions vary by harness.

Source agents specify model aliases such as opus, sonnet, haiku, fable, or inherit. Adapters map those aliases to each harness's model settings, including fixed defaults for some inherit entries. See model configuration and the adapter mappings.

Quality evaluation

The repository validates plugin structure, generated artifacts, and documentation. Contributors can run these checks from the repository root:

make generate-all
make validate STRICT=1
make garden

plugin-eval also provides static skill checks without model calls. For example:

uv run --project plugins/plugin-eval plugin-eval score plugins/python-development/skills/python-testing-patterns --depth quick

The LLM judge and Monte Carlo layers are experimental and are not validated against human labels. Their scores describe model assessments and repeated simulations and do not prove that a task succeeds in a project. They require the optional llm dependencies. Model calls use ANTHROPIC_API_KEY when it is set and bill that API account. Otherwise they use your Claude Code login. See the evaluation guide for setup and limits.

Quick start

Choose a plugin for the work you do:

PluginUse it for
python-developmentPython, Django, FastAPI, testing, and packaging
javascript-typescriptJavaScript and TypeScript development and project setup
developer-essentialsCode review, debugging, Git, and testing patterns
security-scanningSecurity review, dependency checks, and code scanning

See the plugin catalog for all 94 plugins and the usage guide for commands and examples.

Claude Code

Run these commands inside Claude Code to register the marketplace and install the Python development plugin:

/plugin marketplace add wshobson/agents
/plugin install python-development@claude-code-workflows

Then ask Claude to use the Python agents for your task, or run the plugin's scaffolding command:

/python-development:python-scaffold Create a FastAPI service with tests

Codex CLI

Run these commands in a terminal with a current Codex CLI:

codex plugin marketplace add wshobson/agents
codex plugin add python-development@claude-code-workflows

The native Codex manifests expose source skills. The generated TOML agents and command-derived skills use a separate adapter path. Native installation also reads the original skill bodies, while generated copies split oversized bodies into reference files for the 8 KB budget. See the Codex setup details before choosing an installation route.

Cursor

Cursor uses the committed plugin marketplace registry. Follow the Cursor setup instructions to add the marketplace and install a plugin.

Skills only

Install an individual skill with GitHub CLI's gh skill command or the npx skills installer. Select your coding tool when prompted. Both installers read skills from GitHub without cloning the repository and install them without the plugin's agents, commands, or hooks.

gh skill install wshobson/agents python-testing-patterns
npx skills add wshobson/agents --skill python-testing-patterns

gh skill requires GitHub CLI 2.90 or later. The npx command requires Node.js and npm. See skills-only installation for other agents, install scopes, and version pinning.

Install from a clone

For OpenCode, Antigravity CLI, GitHub Copilot, and Pi, clone the repository and use the installer for your harness. Install uv, Python 3.12 or later, and the coding tool you want to use. The following clone command uses GitHub CLI:

gh repo clone wshobson/agents ~/agents
cd ~/agents

Run the command for your tool. Each target generates the artifacts and links all local plugins into that tool's user configuration:

make install-opencode
make install-antigravity
make install-copilot
make install-pi

Pi's agents require its reference subagent extension or a compatible extension. See the global install guide for configuration paths and uninstall commands.

What's inside

ComponentCountPurpose
Plugins94Installable groups of components, including 92 local plugins and 2 external entries
Agents202Instructions for specialist subagents that handle delegated work
Skills185Guidance and reference material that an agent loads when relevant
Commands105Named workflows you invoke, such as project scaffolding or a security scan

The agent, skill, and command counts cover local source files. External plugins provide their own components and installation requirements.

Documentation map

GuideCovers
Plugin catalogPlugins by task and domain
Agents and skillsAvailable components and model configuration
Usage and tool setupCommands, examples, and installation
Architecture and design detailsSource layout and adapters
Quality evaluation and CLI verificationChecks and their limits

See CONTRIBUTING.md to propose a change and authoring conventions to write plugin content.

External memory integration

Pensyve remains an optional external Claude Code marketplace entry. Major7 Apps maintains Pensyve, and this repository's maintainer founded Major7 Apps. Its open-source runtime can run locally or on your own server. Pensyve Cloud closed on October 1, 2026, and its dashboard, API, and hosted MCP endpoints are unavailable. Use the self-hosting guide when configuring the runtime.

License

The repository is MIT licensed. External plugins have their own licenses.

Star history

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