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在 OpenClaw 中安装
/install openclaw-agent-discovery
功能描述
Agent发现探索助手。搜索、评估、集成公开Agent。使用场景：(1) 搜索可用Agent，(2) 评估Agent能力，(3) 集成方案设计，(4) 成本效益分析。
使用说明 (SKILL.md)
Agent Discovery — Agent发现助手
功能说明
帮助发现和评估可用的Agent系统。
使用方法
1. 能力搜索
用户: 找一下有哪些免费的代码审查Agent？
2. 评估对比
用户: 比较一下Claude和GPT的Agent能力
3. 集成方案
用户: 如何把这个Agent集成到我们的系统？
4. 成本分析
用户: 使用这个Agent的成本是多少？
安全使用建议
This skill is an instruction-only helper and appears internally consistent. Before installing, consider: (1) what tools or web access your agent already has — the skill itself doesn't specify how searches happen, so an agent might use web browsing or other connectors you provide; (2) avoid supplying secrets or private system links in queries; (3) verify any external agent recommendations and cost estimates independently before integration; and (4) if you allow autonomous agent actions, review what tool permissions the agent will have, since autonomous web/tool access combined with other connectors could access data outside the skill's scope.
功能分析
Type: OpenClaw Skill
Name: openclaw-agent-discovery
Version: 1.0.0
The skill bundle consists of metadata and documentation for an 'Agent Discovery' assistant. It contains no executable code, network requests, or suspicious instructions. The content in SKILL.md is limited to standard usage examples for searching and evaluating AI agents, posing no security risk.
能力评估
Purpose & Capability
Name and description (searching, evaluating, integration design, cost analysis) align with the SKILL.md examples and there are no surprising requirements (no env vars, binaries, or installs).
Instruction Scope
SKILL.md contains only example user prompts and high-level guidance for searching and comparing agents. It does not instruct the agent to read files, access environment variables, call unexpected endpoints, or exfiltrate data.
Install Mechanism
No install spec and no code files — instruction-only, so nothing is written to disk or fetched during install.
Credentials
The skill declares no required credentials, environment variables, or config paths; this is proportionate to its stated purpose.
Persistence & Privilege
always is false and the skill does not request persistent system presence or modification of other skills or agent-wide settings.
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 openclaw-agent-discovery - 安装完成后，直接呼叫该 Skill 的名称或使用
/openclaw-agent-discovery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 agent-discovery.
- Enables users to search, evaluate, and integrate publicly available agents.
- Supports capabilities search, agent ability comparison, integration solution guidance, and cost-effectiveness analysis.
- Provides usage examples for each main scenario in Chinese.
元数据
常见问题
Agent Discovery 是什么？
Agent发现探索助手。搜索、评估、集成公开Agent。使用场景：(1) 搜索可用Agent，(2) 评估Agent能力，(3) 集成方案设计，(4) 成本效益分析。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 357 次。
如何安装 Agent Discovery？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install openclaw-agent-discovery」即可一键安装，无需额外配置。
Agent Discovery 是免费的吗？
是的，Agent Discovery 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Agent Discovery 支持哪些平台？
Agent Discovery 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 Agent Discovery？
由 SKY-lv（@sky-lv）开发并维护，当前版本 v1.0.0。
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