| name | learn |
| description | Provide feedback on CYNIC judgments to improve future evaluations. Use when asked to correct a judgment, provide feedback, mark as correct/incorrect, or help CYNIC learn from mistakes. |
| user-invocable | true |
/learn - CYNIC Feedback Loop
"φ learns from φ"
Quick Start
/learn <judgment_id> correct|incorrect [reason]
What It Does
Provides feedback to improve CYNIC's judgment accuracy:
- Mark judgments as correct/incorrect/partial
- Explain why the judgment was wrong
- Suggest what the score should have been
- Trigger weight calibration
Feedback Types
| Outcome | When to Use |
|---|
correct | Judgment was accurate |
incorrect | Judgment was wrong |
partial | Some parts right, some wrong |
Examples
Mark Correct
/learn jdg_abc123 correct
Mark Incorrect with Reason
/learn jdg_abc123 incorrect "missed security vulnerability"
Provide Score Correction
/learn jdg_abc123 incorrect --score 35 "should have been BARK not WAG"
Implementation
Use the brain_cynic_feedback MCP tool:
brain_cynic_feedback({
judgmentId: "jdg_abc123",
outcome: "correct|incorrect|partial",
reason: "explanation of feedback",
actualScore: 35
})
Learning System
CYNIC uses feedback to:
- Calibrate Weights: Adjust dimension weights
- Detect Biases: Find systematic errors
- Improve Accuracy: Learn from mistakes
Check learning state:
brain_learning({ action: "state" })
View detected biases:
brain_learning({ action: "biases" })
Trigger calibration:
brain_learning({ action: "calibrate" })
Impact
| Feedback Volume | Learning Effect |
|---|
| 10+ feedbacks | Initial calibration |
| 50+ feedbacks | Bias detection |
| 100+ feedbacks | Refined accuracy |
See Also
/judge - Create judgments to learn from/patterns - See learned patterns/health - Check learning system status
