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feat(skills): 智能体 CRUD 四技能改经 ManageAgent 内置工具(实例鉴权适配) (#52)
## 摘要 / Summary ### 中文 主仓库 desirecore#1225 新增 `ManageAgent` 内置工具后,智能体 CRUD 四技能从"调本机 HTTP API/curl"改写为调用该工具(实例鉴权上线后 Agent 直接访问本机 API 会 401): - **create-agent 2.5.0**:`POST /api/agents` → `ManageAgent(action='create', ...)`;补充保留标识(core/desirecore)拒创、config 仅允许 llm 白名单的错误处理 - **delete-agent 2.5.0**:`DELETE /api/agents/:id` → `action='delete'`(工具层强制用户确认);错误处理改为工具拒绝语义(核心智能体/自删/活跃状态);补团队级联说明 - **discover-agent 2.6.0**:`GET /api/agents(/:id)` → `action='list'/'get'` - **update-agent 3.1.0**:结构化字段(name/description/llm/persona/principles)改经 `action='update'`(白名单+schema 校验+字段级合并语义),自由格式文件仍 Read/Write 四技能声明 `market.required_client_version: 10.0.90`,老客户端在市场端被门控禁装。中英双语正文同步改写,i18n source_hash 已重算(validate-i18n.py 通过);manifest 1.2.10。 ### English After desirecore#1225 shipped the `ManageAgent` builtin tool, the four agent-CRUD skills are rewritten from local-HTTP-API/curl instructions to tool calls (direct local API access now returns 401 under instance auth). Each skill declares `market.required_client_version: 10.0.90` so older clients are gated from installing. Both locales are rewritten in sync and i18n source hashes recomputed (validate-i18n.py passes); manifest bumped to 1.2.10. 主仓库回填:合并后将在 desirecore 主仓库执行 `npm run sync-market` 生成新的 defaults/market.zip 并单独提 PR。
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@@ -1,7 +1,7 @@
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---
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name: discover-agent
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description: 根据用户需求推荐最匹配的智能体,展示候选列表并引导选择。Use when 用户描述需求但不确定该找哪个智能体帮忙,或想浏览可用的智能体。
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version: 2.5.2
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version: 2.6.0
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type: procedural
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risk_level: low
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status: enabled
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@@ -12,7 +12,7 @@ tags:
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- recommendation
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metadata:
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author: desirecore
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updated_at: '2026-02-28'
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updated_at: '2026-07-18'
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i18n:
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default_locale: en-US
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source_locale: zh-CN
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@@ -24,7 +24,7 @@ metadata:
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short_desc: 根据需求描述智能推荐最匹配的智能体,引导快速选择
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description: 根据用户需求推荐最匹配的智能体,展示候选列表并引导选择。Use when 用户描述需求但不确定该找哪个智能体帮忙,或想浏览可用的智能体。
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body: ./SKILL.zh-CN.md
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source_hash: sha256:28ecd07724adda9a
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source_hash: sha256:99bddbbaea15b194
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translated_by: human
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en-US:
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name: Discover Agent
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@@ -32,9 +32,9 @@ metadata:
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description: >-
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Recommend the best-matching Agent based on the user’s needs, show a candidate list, and guide selection. Use when the user describes a need but is unsure which Agent to ask for help, or wants to browse available Agents.
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body: ./SKILL.md
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source_hash: sha256:4be238743dee6fc4
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translated_by: ai:openai:gpt-5.4-mini
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translated_at: '2026-07-07'
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source_hash: sha256:99bddbbaea15b194
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translated_by: ai:claude-fable-5
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translated_at: '2026-07-18'
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market:
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icon: >-
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<svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0
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@@ -53,6 +53,7 @@ market:
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verified: true
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compatible_agents: []
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channel: latest
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required_client_version: 10.0.90
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---
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# discover-agent Skill
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@@ -118,25 +119,26 @@ Extract the following dimensions from the user’s description:
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### Stage 2: Agent retrieval
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**Data source**: Call `GET /api/agents` to get the list of all registered Agents.
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**Data source**: Call `ManageAgent(action='list')` to get the list of all registered Agents.
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**API call**:
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**Tool call**:
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```bash
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GET /api/agents
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```
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ManageAgent(action='list')
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```
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**Key fields in the returned data**:
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**Returned content**: a compact list where each line contains the following key fields:
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- `id` — unique Agent identifier
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- `name` — Agent name
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- `id` — unique Agent identifier
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- `status` — current status (online/busy/idle/offline)
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- `description` — Agent description
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- `skills` — Skill list
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- `status` — current status (online/offline/busy)
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> `list` is a read-only query; no user confirmation is required and it is approval-free.
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**Filtering rules**:
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- By default, only show Agents with `status: online` or `status: offline`
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- By default, show Agents other than offline ones; offline Agents are shown only as a supplement when no better candidate is available
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- Exclude internal system Agents (such as DesireCore itself, unless explicitly requested by the user)
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### Stage 3: Matching evaluation
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@@ -227,23 +229,26 @@ A total of 4 Agents. Do you need detailed information about any one Agent?
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| User choice | Follow-up action |
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| ----------- | ---------------- |
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| Chose an Agent | Switch to that Agent’s conversation and pass the user need context |
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| Asked for more details | Call `GET /api/agents/:id` to get details, then show structured information (see below) |
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| Asked for more details | Call `ManageAgent(action='get', id='<agent-id>')` to get details, then show structured information (see below) |
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| Unsatisfied with candidates | Guide the user to refine the need or suggest creating a new Agent |
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| Chose "create a new one" | Call the create-agent Skill and pass the collected need information |
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**Implementation of "learn more"**:
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Call `GET /api/agents/:id` to get details, and optionally call the structured endpoint to get persona/rules:
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Call `ManageAgent(action='get', id='<agent-id>')` to get details of the specified Agent:
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```bash
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# Get basic information
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GET /api/agents/{agentId}
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# Return: { id, name, description, skillsCount, toolsCount, status, config, persona, principles }
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# Get structured persona (optional, used to show richer information)
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GET /api/agents/{agentId}/persona
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# Return: { L0, L1: { role, personality, communication_style }, L2 }
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```
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ManageAgent(action='get', id='legal-assistant')
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```
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**Key fields in the returned content**:
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- name, description, status
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- version
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- skill count / tool count
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- Git repository status
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> `get` is a read-only query; no user confirmation is required and it is approval-free. If the target does not exist, it returns the error "智能体不存在: <id>".
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When presenting to the user, show key information in natural language/table format:
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@@ -252,10 +257,11 @@ When presenting to the user, show key information in natural language/table form
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| 字段 | 内容 |
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|------|------|
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| Role positioning | 专注合同审查和法律风险评估 |
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| Personality traits | 专业、严谨、审慎 |
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| Skill count | 3 个 |
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| Current status | 在线 |
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| 描述 | 专注合同审查和法律风险评估 |
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| 当前状态 | 在线 |
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| 版本 | 1.2.0 |
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| 技能 / 工具 | 3 个技能,5 个工具 |
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| Git 仓库 | 干净(无未提交变更) |
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Need to talk with this Agent?
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```
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@@ -280,18 +286,17 @@ context_handoff:
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| Error scenario | Handling method |
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| -------------- | --------------- |
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| API call failure | Prompt a network error and suggest trying again later |
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| Tool call failure | Prompt the error message and suggest trying again later |
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| Agent list is empty | Guide the user to create the first Agent |
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| User description is too vague | Ask follow-up questions and provide domain options as guidance |
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| Target Agent does not exist | When `get` returns "智能体不存在: <id>", fall back to `list` to re-confirm available Agents |
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| Recommended Agent has an abnormal status | Mark the status and suggest choosing another online Agent |
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### Permission requirements
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- Prefer using the `Bash` Tool to call curl and access the Agent Service HTTP API to complete operations
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- The API base address is injected into the system prompt’s "本机 API" section, so reference it directly
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- Read-only operation, no risk
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- Complete Agent retrieval and detail lookup via the built-in tool `ManageAgent`
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- Both `list` and `get` are read-only queries; no user confirmation is required, they are approval-free, and carry no risk
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### Dependencies
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- Agent Service HTTP API (`GET /api/agents`)
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- The local API address declaration in the system prompt
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- Built-in tool `ManageAgent` (`action='list'` to retrieve the list, `action='get'` to query details)
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