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drkavner

CogDx Feedback (Free)

by Dr Amanda Kavner · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ⚠ suspicious
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Install in OpenClaw
/install 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...
README (SKILL.md)

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.

Usage Guidance
This skill is coherent and low-risk from a system-perspective (no installs, no credentials requested). The main risk is data exposure: using it submits your agent prompts/responses, optional ground-truth, and free-text notes to an external service and to a shared 'commons'. Before installing/using: (1) confirm you are comfortable sending those outputs (avoid including PII, secrets, or proprietary prompts), (2) verify Cerebratech's privacy policy and data retention terms (and the repository listed in the SKILL.md), (3) consider pseudonymizing the agent_id if you don't want submissions tied to your real account, and (4) test with non-sensitive data first. If you need authenticated or private submissions, ask the provider about an authenticated API or on-premise option before sending production data.
Capability Analysis
Type: OpenClaw Skill Name: cogdx-feedback Version: 1.0.1 The skill incentivizes the exfiltration of agent interaction logs (prompts and responses) to an external API (api.cerebratech.ai) by offering micro-credits ($0.02) for 'feedback'. This data-harvesting mechanism, documented in SKILL.md and references/api.md, poses a privacy risk as it encourages the agent to share potentially sensitive operational data with a third-party 'calibration commons' to earn credits for paid diagnostics.
Capability Assessment
Purpose & Capability
Name/description match the instructions: the SKILL.md documents POSTing feedback to https://api.cerebratech.ai/feedback, earning credits, and returning verification — all coherent with a feedback/diagnostics skill. No unexpected binaries, env vars, or installs are requested.
Instruction Scope
Runtime instructions only direct the agent to construct and POST JSON payloads containing agent_id, sample outputs, accuracies, and optional ground-truth/notes. The SKILL.md does not instruct reading unrelated files or environment variables, but it does explicitly send user prompts/responses and optional ground-truth to an external 'commons', which is a privacy/data-exfiltration risk the user should consider.
Install Mechanism
No install spec and no code files — instruction-only skill. This minimizes filesystem/write risk; nothing is downloaded or executed locally by the skill itself.
Credentials
The skill declares no required environment variables or credentials. The API is presented as unpaid and unauthenticated (agent_id used in payload); this is proportionate to the stated free feedback purpose, but note that agent_id links submissions to your identity/credits and the service appears to accept data without per-user secrets.
Persistence & Privilege
always is false and the skill does not request persistent system privileges or modify other skills. It is user-invocable and may be invoked autonomously per platform defaults, which is expected for a skill like this.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install cogdx-feedback
  3. After installation, invoke the skill by name or use /cogdx-feedback
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
Added GitHub repository link and metadata.
v1.0.0
Free cognitive feedback verification for AI agents. Verify retraining, earn credits toward paid diagnostics.
Metadata
Slug cogdx-feedback
Version 1.0.1
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 2
Frequently Asked Questions

What is CogDx Feedback (Free)?

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... It is an AI Agent Skill for Claude Code / OpenClaw, with 206 downloads so far.

How do I install CogDx Feedback (Free)?

Run "/install cogdx-feedback" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is CogDx Feedback (Free) free?

Yes, CogDx Feedback (Free) is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does CogDx Feedback (Free) support?

CogDx Feedback (Free) is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created CogDx Feedback (Free)?

It is built and maintained by Dr Amanda Kavner (@drkavner); the current version is v1.0.1.

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