channel-message-flows
Use when running QA Lab channel message flow evidence.
DeepseekModel
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Quality Excellent · 90
v1.0.0
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Standard format with system_prompt and model_config, ready for any agent framework
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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.
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| Field | Description |
|---|---|
| format | Format tag (skill/v1) |
| skill_id | Unique skill ID |
| name | Skill name |
| version | Version |
| description | Description |
| category | Categories (array) |
| trigger_words | Trigger words |
| tags | Tags |
| source | Source |
| source_url | Source URL (this page) |
| exported_at | Exported at (set per download) |
| system_prompt | System prompt body |
| model_config | Model config: provider / model / temperature / max_tokens / top_p |
| examples | Examples |
| install_guide | Import guide for Coze / Dify / Claude / custom frameworks |
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