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- 2026年7月3日 04:48
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SKILL.md
来源说明 · 只读预览- 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:
```bash
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:
```bash
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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