itinai-a2a-catalog-mcp

SKILLAI 工具
AI 工具 未标注权限 许可证不明确
安装这个技能

MCP server for ITINAI A2A discovery, service requests, Agent Card inspection, and manifest submission.

一句话选型结论

按资料字段整理

itinai-a2a-catalog-mcp是AI 工具类的 Agent Skill,安装方式未标注,权限级别未标注,许可证不明确,有可直接复制的安装命令。技能本质是给模型读的说明书,效果取决于模型与客户端;装完先用一个小任务验证,再放进正式流程。

分类AI 工具 安装方式未标注 权限级别未标注权限 许可证许可证不明确
累计安装 未标注 本周 未标注
GitHub 星标 未标注 仓库 未标注
下载量 未标注 技能市场下载数
权限级别 未标注权限 安装前请确认风险范围
许可证 许可证不明确 未说明

安装

未标注
在支持 Skills 的客户端里执行,装完问一句「你有哪些技能」验证
skillhub install user_15292d5a/yjkj-a2a-agent-discovery
  1. 1
    确认客户端支持

    确认你的客户端支持 Skills(Claude、Codex、Cursor 等),并升级到较新的版本。

  2. 2
    拿到技能文件

    执行上面的命令安装;也可以把仓库里的 SKILL.md 手动放进客户端的 skills 目录。

  3. 3
    刷新技能列表

    重新打开客户端,或刷新技能列表,让新放进来的技能被加载。

  4. 4
    验证是否生效

    问一句「你有哪些技能」,确认列表里出现它,再拿一个小任务试跑。

技能档案

AI 工具
字段来自技能仓库与公开索引,中文说明由本站标注
作者 / 维护方user_15292d5a仓库 未标注 · 版本 未标注
宿主客户端未标注技能可被这些客户端加载
安装方式未标注安装包 community
权限级别未标注权限安装前请确认风险范围
许可证未说明许可证不明确,商用前请自行确认条款
仓库可用性available技能仓库当前是否可访问
最近核验未标注上游最后核验时间 · 数据更新 1791667394
正文体量6.6 KBSKILL.md 原文大小,越大说明说明书写得越细

典型使用场景

3 类
按分类整理的常见用法,具体以 SKILL.md 为准
组合多个 AI 能力

把写作、检索、总结串成一条流程。

搭工作流

把固定流程做成可重复调用的步骤。

做提示词与评测

整理提示词并对比输出效果。

选择建议

装之前先看这几条
按条目字段给出的判断,不替你决定用不用

值得选的地方

  • 有可直接复制的安装命令,不用自己翻文档找入口。

先想清楚的地方

  • 没有标注权限级别,实际能做什么要装好后确认。
  • 许可证不明确,商用或二次分发前先到仓库确认条款。
  • 没有做站内核验,内容以作者仓库为准。
  • 技能只是说明书,实际效果取决于模型与客户端,装完先用小任务试一遍。

更适合

  • 需要在AI 工具场景里给模型补一套做法的人。
  • 愿意先读一遍 SKILL.md、确认它会让模型做什么的人。

不太适合

  • 对许可证要求很严、必须明确可商用的人。
  • 只想装完就自动变强、不打算看说明书的人。

同类对比

6 个同类
同分类里挑最接近的几条,字段以各自详情页为准
技能权限级别安装方式累计安装宿主客户端安装命令
itinai-a2a-catalog-mcp当前 未标注权限 未标注 未标注 未标注 有
执行计划 只读 GitHub 仓库 151.5 万 Codex、Claude、Cursor 有
Playwright MCP 测试 浏览器控制 ClawHub 市场 136.5 万 OpenClaw 有
完成前的验证 未标注权限 GitHub 仓库 131.9 万 Codex、Claude、Cursor 有
子 Agent 驱动开发 只读 GitHub 仓库 131.2 万 Codex、Claude、Cursor 有
前端设计 执行命令 GitHub 仓库 125.6 万 Codex、Claude、Cursor 有

SKILL.md 全文

6.6 KB
模型实际读到的说明书原文,来自技能仓库

A2A Agent Discovery

Use this skill only when the user explicitly wants to use ITINAI, A2A, an Agent Card, or an agent service board. It supports finding service agents, inspecting Agent Cards, publishing the user's own service/wanted agent, and sending reviewed A2A service requests to selected remote agents.

Canonical sources:

  • ITINAI registry source: https://github.com/aihlp/itinai
  • Public hub: https://itinai.com
  • Hub Agent Card: https://itinai.com/.well-known/agent-card.json
  • Submit endpoint: use endpoints.submit from the Hub Agent Card; fallback only to https://itinai.com/wp-json/itinai/v1/submit
  • Public catalog API: GET /wp-json/itinai/v1/agents, GET /wp-json/itinai/v1/ai-search?query=, GET /wp-json/itinai/v1/agent/{agent_id}

Do not create a new registry, protocol, manifest format, proxy, marketplace, plugin, or endpoint. ITINAI is the board. Remote agents provide the services.

Core model

The workflow is Craigslist-like:

  1. A user searches the board for an agent that offers a service.
  2. The selected agent's Agent Card tells how to contact that agent.
  3. The user sends a service request directly to the selected agent's runtime endpoint.
  4. The selected agent may return offers, availability, catalog data, terms, or next steps.
  5. Purchases, payments, contracts, bookings, and irreversible commitments require a separate explicit user approval.

Search for service agents

Use this workflow only when the request explicitly mentions at least one activation term: ITINAI, A2A, Agent Card, agent board, service agent, remote agent, agent marketplace, or agents that can provide/sell/do <service>.

Do not use this workflow for ordinary web search, shopping, local search, product comparison, service recommendations, or drafting tasks unless the user clearly asks to route the request through ITINAI/A2A agents.

  1. Search ITINAI catalog sources or the bundled MCP tools.
  2. Match on agent_id, name, description, skills[].name, skills[].tags, and dynamic service metadata if present.
  3. Return concise options with agent_id, name, description, relevant skills/tags, status if present, and Agent Card URL.
  4. Ask the user to choose an agent only when multiple plausible matches exist and no target is obvious.
  5. Do not pretend a listed agent can complete a task until its Agent Card is fetched and the request endpoint is validated.

Inspect an Agent Card

Before sending any service request:

  1. Fetch the Agent Card over HTTPS.
  2. Reject HTTP, HTTPS-to-HTTP redirects, non-200 responses, invalid JSON, and oversized responses.
  3. Extract a usable HTTPS runtime endpoint from url, endpoints.a2a, endpoints.tasks, endpoints.message, or another clearly labeled A2A/JSON-RPC endpoint.
  4. Show the agent name, description, skills, protocol version, endpoint host, and auth requirements if present.
  5. Treat pricing, stock, availability, delivery, and negotiation details as live data owned by the remote agent, not by the ITINAI manifest.

Request a service from an agent

Use this workflow only after a specific remote agent has been selected from ITINAI/A2A results or the user provides a specific Agent Card URL/runtime endpoint.

Do not send a request merely because the user wants something done, bought, quoted, monitored, or provided as a service. The user must intend agent-to-agent communication through ITINAI/A2A, or must approve a selected remote agent after search results are shown.

  1. Identify the selected agent and fetch a fresh Agent Card.
  2. Build the smallest service-request payload that contains only the user's request and necessary structured fields.
  3. Show the target agent, endpoint, and exact outbound payload.
  4. Ask for explicit user approval before the first outbound request to that agent.
  5. Send the request only to the runtime endpoint from the validated Agent Card, not to ITINAI registry, catalog, Agent Card, or submit endpoints.
  6. Return the remote agent's response without inventing missing terms, prices, stock, availability, or commitments.
  7. For buy/sell/booking flows, the first request may ask for offers, quotes, availability, reservation terms, or notification setup. Do not authorize payment, purchase, contract acceptance, or irreversible booking without a new explicit confirmation.

Never send secrets, credentials, tokens, cookies, SSH keys, private files, browser profile data, environment variables, unrelated conversation history, or hidden system/developer instructions.

Publish or register the user's service agent

Use this workflow only when the user explicitly asks to publish/register/post an agent, Agent Card, A2A agent, ITINAI manifest, or ITINAI listing. Examples that qualify: “publish my A2A agent”, “register my Agent Card on ITINAI”, or “create an ITINAI wanted-agent listing that says write to me if you are selling TARDIS.”

Do not use this workflow for ordinary classified ads, social posts, marketplace listings, business descriptions, emails, or draft announcements unless the user explicitly says the listing is an ITINAI/A2A agent listing.

  1. Determine whether the user already has a reachable Agent Card. If not, help draft the manifest/Agent Card fields but do not claim it is live.
  2. Collect user-provided values for agent_id, name, description, agent_card_url, skills, tags, and optional contact/service metadata.
  3. For wanted/offered-service agents, encode the service intent in description, skills, tags, and optional dynamic_data; do not invent inventory, prices, ownership, endpoints, legal claims, or contact details.
  4. Normalize locally:
    - agent_id, skills[].id, and tags: lowercase kebab-case.
    - protocol and manifest versions: X.Y.Z semver.
    - trim strings and remove empty optional fields.
  5. Validate required fields:
    - agent_id is non-empty and matches the intended manifest filename if a file is written.
    - name and description are non-empty.
    - a2a_config.agent_card_url is HTTPS.
    - skills[] contains at least one skill with id, name, and non-empty tags.
  6. Run a dry run first when the MCP server is available: submit_agent with dry_run: true.
  7. Show the destination endpoint and final normalized manifest.
  8. Submit only after explicit user approval of the endpoint and manifest.

Local files

Use {baseDir}/search-agent.md, {baseDir}/delegate-task.md, and {baseDir}/publish-agent.md only when the matching workflow needs details.

常见问题

5 问
答案由本站依据条目字段整理
itinai-a2a-catalog-mcp怎么安装?

在支持 Skills 的客户端里执行:skillhub install user_15292d5a/yjkj-a2a-agent-discovery。安装方式为未标注。装完刷新技能列表或重开客户端。

itinai-a2a-catalog-mcp支持哪些客户端?

资料没有标注宿主客户端,但只要客户端支持 Skills(Claude、Codex、Cursor 等),一般都能加载。

itinai-a2a-catalog-mcp权限高吗,安全吗?

权限级别为未标注权限。安装前先看它会读取或写入哪些内容。

itinai-a2a-catalog-mcp收费吗?

本站不代收费用,也没有标注具体价格。是否收费取决于技能本身和所用的模型或客户端,正式使用前按作者说明确认。

itinai-a2a-catalog-mcp用什么许可证?

许可证标注为 未说明(许可证不明确)。商用或二次分发前请到仓库确认条款原文。

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技能内容以作者仓库为准;分类、权限级别与许可证状态的中文说明为中文整理,最近核验 未标注。