---
name: channel-message-flows
version: 1.0.0
category: 生活与工具
trigger_words:
tags:
platform: coze
source: DeepseekModel
source_url: https://deepseekmodel.com/skill?id=openclaw-openclaw-agents-skills-channel-message-flows-skill-md
---

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.