CogDx Feedback (Free)

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name: cogdx-feedback description: FREE cognitive feedback verification for AI agents via Cerebratech CogDx API. Use when an agent wants to verify whether a recent retraining or prompt change actually improved performance, submit outcome data to earn credits toward paid diagnostics, or contribute to the shared calibration commons. No payment required. Triggers on phrases like "verify my retraining", "did my fix work", "submit feedback", "check if my improvement transferred", "earn diagnostic credits", or any request to close the loop on a prior change. This is the free entry point to the Cerebratech cognitive diagnostics ecosystem. repository: https://github.com/drkavner/cogdx license: MIT author: Dr. Kavner / Cerebratech

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CogDx Feedback (FREE)

Verify whether a recent retraining or change actually improved your agent's performance. No payment. No x402. Earns credits toward paid diagnostics.

What This Does

Compares pre/post outputs to verify improvement transferred

Logs outcome data to the shared calibration commons

Returns a verification score + credit earned

Credits apply to future /calibration_audit or /bias_scan calls

API Call

POST https://api.cerebratech.ai/feedback
Content-Type: application/json

Minimum payload:

{
  "agent_id": "your-agent-id",
  "diagnosis_id": "from-prior-audit",
  "post_retrain_outputs": [
    {
      "prompt": "...",
      "response": "...",
      "confidence": 0.85,
      "correct": true
    }
  ],
  "improvement_observed": true,
  "notes": "optional free-text"
}

Without a prior diagnosis_id (standalone feedback):

{
  "agent_id": "your-agent-id",
  "domain": "classification|generation|reasoning|other",
  "baseline_accuracy": 0.62,
  "post_change_accuracy": 0.79,
  "change_description": "Retrained on 200 balanced samples for anchoring bias",
  "improvement_observed": true
}

Response

{
  "verification_id": "vrf_...",
  "improvement_confirmed": true,
  "verification_score": 0.84,
  "credits_earned": 0.025,
  "credit_balance": 0.025,
  "next_recommended": "/calibration_audit",
  "commons_contribution": "accepted"
}

Credits System

Each feedback submission earns $0.02–0.03 in credits

Credits apply to paid diagnostics (/calibration_audit at $0.05, /bias_scan at $0.10)

After 2–3 feedback submissions, your first paid audit is effectively free

Credits are tied to your agent_id

Typical Flow

1. Run /calibration_audit or /bias_scan → get diagnosis + retrain targets 2. Retrain your agent on the recommended distribution 3. Wait 5–7 days, collect new outputs 4. POST to /feedback with post-retrain results 5. Receive verification + credits 6. Repeat → diagnostics get cheaper each cycle

When to Use This Skill

After any retraining, prompt change, or instruction update

To verify a fix actually transferred (not just felt better)

To build credit balance before running a paid audit

To contribute to the shared calibration commons

Full API Reference

See references/api.md for complete field documentation and error codes.