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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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GitHub
@@ -1,9 +1,8 @@
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---
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name: create-agent
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description: >-
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通过多轮对话收集需求，调用 HTTP API 创建新的 AgentFS v2 智能体，支持自定义 persona 和 principles。Use when
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用户要求创建新智能体、培养某领域助手、或快速基于模板生成可治理 Agent。
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version: 2.4.2
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通过多轮对话收集需求，调用 ManageAgent 内置工具创建新的 AgentFS v2 智能体，支持自定义 persona 和 principles。Use when 用户要求创建新智能体、培养某领域助手、或快速基于模板生成可治理 Agent。
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version: 2.5.0
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type: meta
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risk_level: low
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status: enabled
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@@ -14,7 +13,7 @@ tags:
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- meta
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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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@@ -25,19 +24,19 @@ metadata:
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name: 创建智能体
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short_desc: 通过自然语言对话收集需求，一键创建专业化数字智能体
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description: >-
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通过多轮对话收集需求，调用 HTTP API 创建新的 AgentFS v2 智能体，支持自定义 persona 和 principles。Use when 用户要求创建新智能体、培养某领域助手、或快速基于模板生成可治理 Agent。
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通过多轮对话收集需求，调用 ManageAgent 内置工具创建新的 AgentFS v2 智能体，支持自定义 persona 和 principles。Use when 用户要求创建新智能体、培养某领域助手、或快速基于模板生成可治理 Agent。
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body: ./SKILL.zh-CN.md
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source_hash: sha256:cf21692224334fce
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source_hash: sha256:43425a25973ca933
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translated_by: human
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en-US:
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name: Create Agent
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short_desc: Collect requirements through natural-language conversation and create a specialized digital Agent in one step
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description: >-
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Collect requirements through multi-turn conversation and call the HTTP API to create a new AgentFS v2 Agent, with customizable persona and principles. Use when the user asks to create a new Agent, raise a domain assistant, or quickly produce a governable Agent from a template.
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Collect requirements through multi-turn conversation and call the ManageAgent builtin tool to create a new AgentFS v2 Agent, with customizable persona and principles. Use when the user asks to create a new Agent, raise a domain assistant, or quickly produce a governable Agent from a template.
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body: ./SKILL.md
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source_hash: sha256:cf21692224334fce
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translated_by: ai:claude-opus-4-7
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translated_at: '2026-05-03'
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source_hash: sha256:43425a25973ca933
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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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@@ -58,19 +57,20 @@ 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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# create-agent skill
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## L0: One-Sentence Summary
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Collect requirements through natural-language conversation and call the HTTP API to create a specialized digital Agent.
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Collect requirements through natural-language conversation and call the ManageAgent builtin tool to create a specialized digital Agent.
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## L1: Overview and Use Cases
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### Capability Description
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create-agent is a **Meta-Skill** that gives DesireCore the ability to create other Agents. It collects user requirements through multi-turn conversation, generates persona and principles content, and calls `POST /api/agents` to complete the creation.
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create-agent is a **Meta-Skill** that gives DesireCore the ability to create other Agents. It collects user requirements through multi-turn conversation, generates persona and principles content, and calls the `ManageAgent` builtin tool to complete the creation.
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### Use Cases
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@@ -95,7 +95,7 @@ create-agent is a **Meta-Skill** that gives DesireCore the ability to create oth
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│
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↓
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┌──────────────┐ ┌──────────────┐ ┌──────────────┐
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│ 回执生成 │ ←── │ API 创建 │ ←── │ 用户确认 │
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│ 回执生成 │ ←── │ 工具创建 │ ←── │ 用户确认 │
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└──────────────┘ └──────────────┘ └──────────────┘
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```
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@@ -210,69 +210,58 @@ When the user chooses "Modify":
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4. Update the corresponding field in the preview
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5. Show the full preview again → re-enter the confirmation flow
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### Stage 5: Call API to Create
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### Stage 5: Create via ManageAgent
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**API endpoint**: `POST /api/agents`
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**Tool call** (structured format):
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**Request body** (structured format):
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```json
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{
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"name": "法律顾问小助手",
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"description": "专注于合同审查和法律风险评估的数字智能体",
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```
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ManageAgent({
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"action": "create",
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"name": "Legal Advisor Assistant",
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"description": "A digital Agent focused on contract review and legal risk assessment",
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"persona": {
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"L0": "你是法律顾问小助手，专注于合同审查和法律风险评估的数字智能体。",
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"L0": "You are Legal Advisor Assistant, a digital Agent focused on contract review and legal risk assessment.",
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"L1": {
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"role": "专注于合同审查和法律风险评估的数字法律顾问",
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"personality": ["专业", "严谨", "审慎"],
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"communication_style": "准确使用法律术语，同时提供通俗解释"
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"role": "A digital legal advisor focused on contract review and legal risk assessment",
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"personality": ["Professional", "Rigorous", "Prudent"],
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"communication_style": "Use legal terminology accurately while also providing plain-language explanations"
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}
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},
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"principles": {
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"L0": "以用户利益为最高优先级，不替代正式法律意见。",
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"L0": "User interest is the highest priority; not a substitute for formal legal advice.",
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"L1": {
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"must_do": ["准确引用法律条文", "标注不确定性", "建议咨询专业律师"],
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"must_not": ["提供诉讼代理", "替代正式法律意见", "泄露用户法律咨询内容"],
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"priority": "用户安全 > 准确性 > 效率"
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"must_do": ["Cite statutes accurately", "Mark uncertainty", "Recommend consulting a professional lawyer"],
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"must_not": ["Provide litigation representation", "Substitute for formal legal advice", "Leak user consultations"],
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"priority": "User safety > Accuracy > Efficiency"
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}
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}
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}
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})
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```
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**Minimal create** (only `name`; the rest is auto-generated):
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```json
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{ "name": "我的助手" }
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```
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ManageAgent({ "action": "create", "name": "My Assistant" })
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```
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**Basic create** (`name` + `description`; `description` auto-fills persona L0):
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```json
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{ "name": "法律顾问", "description": "专注合同审查" }
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```
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ManageAgent({ "action": "create", "name": "Legal Advisor", "description": "Focused on contract review" })
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```
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Any unprovided fields are auto-filled with sensible defaults by the system. `persona` and `principles` also accept raw markdown strings (backward compatible).
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**Optional**: To specify a slug ID, generate a sensible kebab-case slug from `name` (e.g. "Legal Advisor" → "legal-advisor") and include `"id": "<slug>"` in the request body. If not specified, the system auto-generates one from `name`.
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**Optional parameters**:
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**Successful response** (`201 Created`):
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- `id`: specify a kebab-case slug ID (e.g. "Legal Advisor" → "legal-advisor"). If not specified, the system auto-generates one from `name`. Note that `core` / `desirecore` are reserved core-agent identifiers and cannot be used (including when the slug auto-generated from `name` collides with them).
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- `config`: an agent.json config delta. Only the `llm` field is allowed (model, temperature, etc.); sensitive fields such as `mcp_servers` / `tool_permissions` are rejected and must be adjusted via the settings UI after creation.
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```json
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{
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"success": true,
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"agentId": "fa-lv-gu-wen-xiao-zhu-shou",
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"agent": {
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"id": "fa-lv-gu-wen-xiao-zhu-shou",
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"name": "法律顾问小助手",
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"description": "专注于合同审查和法律风险评估的数字智能体",
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"skillsCount": 0,
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"toolsCount": 0,
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"status": "offline"
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}
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}
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```
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**Successful result**:
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The `agent` field in the response contains the full info of the newly created Agent and can be used directly in the receipt.
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> Agent "Legal Advisor Assistant" created (ID: legal-advisor-assistant), registered and ready. It can be used directly with ManageTeam or Delegate.
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The new Agent is registered online immediately after creation—no waiting or refresh needed; the returned ID can be used directly in subsequent ManageTeam / Delegate calls.
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### Stage 6: Receipt Generation
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@@ -294,19 +283,18 @@ After successful creation, present the receipt in a user-friendly way (do not ex
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### Error Handling
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| Error Code | Scenario | Handling |
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| ---------- | ------------------------------------- | --------------------------------- |
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| 400 | Missing `name` or invalid ID format | Ask user to check input |
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| 409 | Agent ID already exists | Suggest using another name |
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| 500 | Internal server error | Ask user to try again later |
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| Error Scenario | Handling |
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| ------------------------------------------- | ------------------------------------------- |
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| Missing `name` or invalid ID format | Ask user to check input |
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| Agent ID already exists | Suggest another name or an explicit `id` |
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| ID hits a reserved core-agent identifier | Change the name or provide another `id` |
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| `config` contains non-whitelisted fields | Retry with only the `llm` field |
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### Permission Requirements
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- Prefer accessing the Agent Service HTTP API via the `Bash` tool with curl
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- The API base URL is already injected into the "Local API" section of the system prompt; reference it directly
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- Creation requires user confirmation
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- Always create via the `ManageAgent` builtin tool. **Never** call the local HTTP API, curl, or write AgentFS directories directly
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- The `create` action is exempt from system approval, but this skill's conversation flow still requires showing the preview and getting user confirmation first (Stage 4)
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### Dependencies
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- Agent Service HTTP API (`POST /api/agents`)
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- The local API URL declaration in the system prompt
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- `ManageAgent` builtin tool (client ≥ 10.0.90)
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