channel-message-flows
Use when running QA Lab channel message flow evidence.
DeepseekModel
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质量 优秀 · 90
v1.0.0
获取
https://deepseekmodel.com/api/download.php?id=openclaw-openclaw-agents-skills-channel-message-flows-skill-md&format=skill
下载 .skill
标准格式，含 system_prompt 与 model_config，导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
name channel-message-flows description Use when running QA Lab channel message flow evidence. Channel Message Flows Use this from the OpenClaw repo root to run the QA Lab evidence for Telegram draft/final delivery sequencing. The behavior is owned by one transport-native QA flow that can run through QA Channel or Crabline Telegram. QA Scenario Run the scenario through QA Lab: OPENCLAW_BUILD_PRIVATE_QA=1 node scripts/run-node.mjs qa suite \ --provider-mode mock-openai \ --scenario channel-message-flows \ --channel-driver qa-channel Run the same YAML through the real Telegram plugin against Crabline's local provider server: OPENCLAW_BUILD_PRIVATE_QA=1 node scripts/run-node.mjs qa suite \ --provider-mode mock-openai \ --scenario channel-message-flows \ --channel-driver crabline \ --channel telegram References qa/scenarios/channels/channel-message-flows.yaml extensions/qa-channel/src/inbound.ts extensions/qa-lab/src/qa-transport.ts extensions/qa-lab/src/crabline-transport.ts extensions/telegram/src/draft-stream.ts The scenario covers channels.streaming as primary evidence and runtime.delivery as secondary evidence.
Agent 识别该技能的关键词，点击任意一个即可复制。
该技能未提供触发词。
下载的 .skill 包内含以下字段。
| 字段 | 说明 |
|---|---|
| format | 格式标识（skill/v1） |
| skill_id | 技能唯一 ID |
| name | 技能名称 |
| version | 版本号 |
| description | 技能描述 |
| category | 所属分类（数组） |
| trigger_words | 触发词列表 |
| tags | 标签列表 |
| source | 来源标识 |
| source_url | 来源链接（本页地址） |
| exported_at | 导出时间（每次下载生成） |
| system_prompt | 系统提示词正文 |
| model_config | 模型参数：provider / model / temperature / max_tokens / top_p |
| examples | 示例 |
| install_guide | 各平台导入说明（Coze / Dify / Claude / 自定义框架） |
