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Unifies WhatsApp, Telegram, and future channels with shared memory and ratin g.
Passed 26 of 26 test cases with the skill, and 8 of 26 without it.
and 17 more in the full report
18 fixed8 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 18 test cases the skill fixed. Same model, same prompt, with and without the skill.
What specific integration module handles message quality rating for incoming WhatsApp messages in this pipeline?
| Checked | Without skill | With skill |
|---|---|---|
| The response identifies whatsapp-message-rater as the rating integration module. | Missed | Passed |
The instructions your model reads when the skill loads.
Read references/messenger-setup.md when setup, backends, or rubric details are needed.
whatsapp-auto-responderwhatsapp-message-ratersemantic-memory-managerhitl-approver| Failure | Response |
|---|---|
| Platform not configured | Read references/messenger-setup.md; guide setup. |
| Channel policy mismatch | Apply strictest policy across channels. |
Input: User request matching triggers above. Output: Structured result per workflow with integrations invoked as needed.
test cases passed, vs 8 / 26 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.