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channel-message-flows

该 Skill 指导从 OpenClaw 仓库根目录执行 QA Lab 场景 channel-message-flows，以 mock 模型配合 QA Channel 或 Crabline Telegram 驱动，产出渠道流式与投递时序的证据；运行依赖仓库内的场景 YAML、QA 扩展与执行脚本。

分类：开发
hillstreet-ph
热度 41.05
最近更新 2026-11-07 14:55:25

安装

发给 Agent
帮我安装这个技能：npx secure-skills-cli add hillstreet-ph/channel-message-flows
兼容性
OpenClaw 专属
联网要求
联网要求未确认
数据出网
数据出网未确认
Metadata
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.