CogDx Feedback (Free)

该 Skill 调用 Cerebratech CogDx 反馈接口，提交 agent_id、诊断 ID 或基线/变更后准确率、重训后输出样本和改进标记，返回验证分数、积分余额与后续诊断建议；依赖外部服务，不包含本地验证或重训实现。

drkavner

热度 55.62

最近更新 2026-05-17 15:25:02

分类：数据依赖：第三方 API应用场景：数据处理 / 工作流

安装技能

复制下面的话术发给你的 Agent，它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill： npx secure-skills-cli add cogdx-feedback

Metadata

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

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

Run /calibration_audit or /bias_scan → get diagnosis + retrain targets
Retrain your agent on the recommended distribution
Wait 5–7 days, collect new outputs
POST to /feedback with post-retrain results
Receive verification + credits
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.