whatsapp-message-rater ยท diff
v1.1.0 to v1.2.0
3 added, 9 removed. Audit A to A.
---
name: whatsapp-message-rater
- description: >
- Rates WhatsApp messages for sentiment, urgency, and spam likelihood. Use bef
- ore auto-reply decisions or when user says rate this WhatsApp, analyze chat
- sentiment, score message urgency. Use when the user needs this capability. T
- riggers: rate this WhatsApp, analyze chat sentiment, score message urgency.
- version: 1.1.0
+ description: "Rates WhatsApp messages for sentiment, urgency, and spam likelihood. Use for: rate this WhatsApp, analyze chat sentiment, score message urgency, `whatsapp-auto-responder`."
+ version: 1.2.0
author: Stijnman
license: MIT
metadata:
grok:
tags: [rate this WhatsApp, analyze chat sentiment, score message urgency]
related_skills: [whatsapp-auto-responder, privacy-redactor, multi-platform-messenger-bridge]
compatibility: Grok agent; optional MCP and shell access
---
-
- # Whatsapp Message Rater
-
+ # WhatsApp Message Rater
## When to Use
- User says **rate this WhatsApp** or task matches this capability
- User says **analyze chat sentiment** or task matches this capability
- User says **score message urgency** or task matches this capability
## Workflow
1. Parse message: sender, text, timestamp, attachments.
2. Score sentiment (-1 to 1), urgency (0-10), spam (0-10).
3. Output JSON summary plus one-line recommendation.
4. Update per-contact profile if memory available.
## Output Template
```
{"sentiment": 0.0, "urgency": 0, "spam": 0, "recommendation": ""}
```
## Integrations
- `whatsapp-auto-responder`
- `privacy-redactor`
- `multi-platform-messenger-bridge`
## Error Handling
| Failure | Response |
|---------|----------|
| Empty message | Return neutral scores; flag as no-content. |
| PII in message | Run privacy-redactor before storing profile. |
## Gotchas
- Spam score > 7: never auto-reply; flag for user.
## Example
**Input:** User request matching triggers above.
**Output:** Structured result per workflow with integrations invoked as needed.