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clawhub-recommender
作者
brandon-zhanghaodong
· GitHub ↗
· v1.0.0
· MIT-0
288
总下载
0
收藏
0
当前安装
1
版本数
在 OpenClaw 中安装
/install clawhub-recommender
功能描述
Recommends popular and highly-rated skills from ClawHub based on user intent and conversation context. Use for: finding new skills, discovering popular tools...
使用说明 (SKILL.md)
ClawHub Recommender
This skill helps users discover the best and most popular skills on ClawHub by analyzing their current conversation context and intent.
Core Functionality
The ClawHub Recommender identifies the user's needs and matches them with high-quality, community-vetted skills. It prioritizes skills with high download counts, star ratings, and official status to ensure reliability and performance.
When to Use
- When a user expresses a need for a specific functionality (e.g., "I need to manage my GitHub issues").
- When a user asks for general recommendations for popular or useful skills.
- When a user is performing a task that could be significantly improved by an existing ClawHub skill.
Recommendation Workflow
To provide the most relevant recommendations, follow these steps:
- Analyze Context: Identify the user's current task, expressed pain points, or specific requests for new capabilities.
- Identify Intent: Map the user's need to a category such as Development, Productivity, Communication, or Search.
- Consult References: Read the following reference files to find the best matches:
/home/ubuntu/skills/clawhub-recommender/references/popular_skills.md: A curated list of top-rated skills with metrics and descriptions./home/ubuntu/skills/clawhub-recommender/references/recommendation_logic.md: Guidelines for matching intents to specific skill categories.
- Formulate Recommendation: Provide a clear and concise recommendation including the skill name, its popularity metrics, a brief description, and why it is a good fit for the current context.
- Provide Installation Details: Include the official link and the installation command (e.g.,
clawhub install \x3Cslug>).
Recommendation Guidelines
| Category | Recommended Skills | Key Metrics |
|---|---|---|
| Development | github, fast-io, capability-evolver |
High (Official), 35k+ Downloads |
| Productivity | linear, byterover, automation-workflows |
High (Official), 17k+ Downloads |
| Communication | wacli, bird |
16k+ Downloads, High |
| Search | tavily, gog |
High, High |
Selection Criteria
- Popularity: Prioritize skills with over 10,000 downloads or high star counts.
- Official Status: Prefer official integrations (e.g.,
github,linear) for stability and security. - Contextual Relevance: Ensure the recommended skill directly addresses the user's current task or expressed need.
- Reliability: Mention verified skills to build trust with the user.
Example Recommendation
Skill Name: GitHub (
github) Metrics: High (Official Integration) Description: Manage repositories, issues, and pull requests directly from your agent. Why it fits: Since you are currently working on a React project and need to track your progress, the GitHub skill will allow you to manage your issues and commits seamlessly. Link: GitHub Skill on ClawHub Install Command:clawhub install github
安全使用建议
This skill is coherent and low-risk as packaged: it uses only the included reference files to generate recommendations and does not ask for credentials or install code. Before installing or following any recommendation it produces, review the recommended skills' pages yourself — some recommended skills (for example 'capability-evolver' or connectors like 'wacli') can have powerful/automated capabilities and may require additional permissions or carry operational risk. Also verify that your agent environment will expose the skill's reference files at the paths shown (the SKILL.md uses absolute /home/ubuntu/... paths). If you want extra assurance, inspect the linked skill pages and their install commands before running them.
功能分析
Type: OpenClaw Skill
Name: clawhub-recommender
Version: 1.0.0
The clawhub-recommender skill is a purely informational tool designed to suggest other OpenClaw skills based on user intent. It contains no executable code, only Markdown instructions (SKILL.md) and static reference files (popular_skills.md, recommendation_logic.md) that guide the agent to provide installation commands and links. The behavior is transparent and aligns perfectly with its stated purpose without any signs of data exfiltration, malicious execution, or prompt injection.
能力评估
Purpose & Capability
The name/description (recommend ClawHub skills) matches the provided artifacts. The skill is instruction-only and only requires reading bundled reference files to produce recommendations; no unrelated binaries, env vars, or external credentials are requested.
Instruction Scope
Runtime instructions explicitly direct the agent to read local files at /home/ubuntu/skills/clawhub-recommender/references/*. Those reference files are included in the bundle. This is expected for a recommender, but the instructions assume a specific absolute path and an Ubuntu-like layout — if the agent runs in a different environment the paths may not exist. The instructions do not direct the agent to read arbitrary system files, secrets, or send data to unknown endpoints.
Install Mechanism
No install spec or downloads are present (instruction-only). Nothing will be written to disk or executed beyond normal agent behavior, so install risk is low.
Credentials
The skill requests no environment variables, credentials, or config paths. The data it needs (reference markdown files) are bundled with the skill, so there is no disproportionate access requested.
Persistence & Privilege
The skill does not request always:true, does not write persistent configuration, and leaves autonomous invocation at the platform default. It does not claim system-wide privileges or modify other skills.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install clawhub-recommender - 安装完成后，直接呼叫该 Skill 的名称或使用
/clawhub-recommender触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release of clawhub-recommender.
- Recommends popular and highly-rated ClawHub skills based on user intent and conversation context.
- Prioritizes skills by popularity, rating, and official status for reliable recommendations.
- Supports recommendations in categories: Development, Productivity, Communication, and Search.
- Includes step-by-step workflow for analyzing user needs and providing tailored installation instructions.
- References curated lists and matching guidelines for accurate, context-based suggestions.
元数据
常见问题
clawhub-recommender 是什么？
Recommends popular and highly-rated skills from ClawHub based on user intent and conversation context. Use for: finding new skills, discovering popular tools... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 288 次。
如何安装 clawhub-recommender？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install clawhub-recommender」即可一键安装，无需额外配置。
clawhub-recommender 是免费的吗？
是的，clawhub-recommender 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
clawhub-recommender 支持哪些平台？
clawhub-recommender 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 clawhub-recommender？
由 brandon-zhanghaodong（@brandon-zhanghaodong）开发并维护，当前版本 v1.0.0。
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