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OpenClawAndroidOpenClawAndroid/openclaw-android-assistant/.agents/skills/channel-message-flows/SKILL.md

channel-message-flows

Skill556 starsChanged 35 days agoMITView on GitHub

Use when running QA Lab channel message flow evidence.

11 other projects use a version of this.

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  • clawdbotSkill

    openclaw-performance

    Performance work in OpenClaw: a slow or heavy flow (latency, CPU, memory, SQL, RPC, renders), writing or reviewing a perf PR, or adding a cache. Count the work, delete waste first, cache last.

    Also in 7 projects that use this

  • clawdbotSkill

    plugin-sdk-impact

    Count Plugin SDK consumers across live ClawHub releases and bundled OpenClaw plugins before deprecation, removal, or behavior changes; supports public release-date filters.

    Also in 7 projects that use this

  • +1 more from clawdbot

The file

We split this skill into the rules it gives an agent

3 rules. About 0 are common, 3 are distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Use this from the OpenClaw repo root to run the QA Lab evidence for Telegram draft/final delivery sequencing.

    line 8
  2. Distinctive:

    Run the scenario through QA Lab:

    line 14
  3. Distinctive:

    Run the same YAML through the real Telegram plugin against Crabline's local provider server:

    line 23

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

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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