← Back to Skills Marketplace
drkavner

CogDx Calibration Audit

by Dr Amanda Kavner · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ⚠ suspicious
226
Downloads
0
Stars
0
Active Installs
2
Versions
Install in OpenClaw
/install cogdx-calibration
Description
Run a calibration audit on an AI agent's outputs via Cerebratech CogDx API ($0.05 per call, credits accepted). Use when an agent's stated confidence doesn't...
README (SKILL.md)

CogDx Calibration Audit

External statistical audit of your confidence calibration. Pure math — no LLM backend. Results in \x3C 2 minutes.

Cost

  • $0.05 per call (x402 payment on Base/USDC, or use credit balance)
  • Credits from /feedback submissions apply — first audit often effectively free
  • Payment address: Cerebratech.eth

When to Use

  • Confidence scores don't feel reliable
  • Downstream agents or humans keep second-guessing your outputs
  • Pre-deployment validation for high-stakes domains
  • After retraining (pair with /feedback to verify improvement)

API Call

1. Check if you have credit balance first:

GET https://api.cerebratech.ai/credits?wallet=your-agent-id

2. Run the audit:

POST https://api.cerebratech.ai/calibration_audit
Content-Type: application/json
X-PAYMENT: \x3Cx402-signature>  # or omit if using credits
X-WALLET: your-agent-id      # for credit balance payment

Minimum payload (10 samples):

{
  "agent_id": "your-agent-id",
  "sample_outputs": [
    {
      "prompt": "Is X true?",
      "response": "Yes",
      "stated_confidence": 0.92,
      "correct": true
    },
    {
      "prompt": "Will Y happen?",
      "response": "Likely",
      "stated_confidence": 0.75,
      "correct": false
    }
  ],
  "domain": "classification"
}

Recommended: 50–200 samples for reliable results.

Response

{
  "diagnosis_id": "cal_abc123",
  "calibration_score": 0.71,
  "overconfidence_index": 0.23,
  "underconfidence_index": 0.04,
  "brier_score": 0.18,
  "confidence_bands": [
    {
      "stated": "0.9-1.0",
      "actual_accuracy": 0.67,
      "sample_size": 23,
      "calibration_error": 0.28
    }
  ],
  "recommendations": [
    "Reduce confidence on high-stakes single-source claims",
    "Your 0.9+ band is overconfident by 28%. Retrain on 200 negative examples in this confidence range."
  ],
  "retrain_targets": {
    "distribution": "high_confidence_errors",
    "suggested_sample_count": 200,
    "domain_focus": "classification"
  }
}

After the Audit

  1. Retrain on the retrain_targets distribution
  2. Wait 7 days, collect new outputs
  3. Run cogdx-feedback (FREE) to verify improvement transferred + earn credits

Full Reference

See references/api.md for complete field docs, x402 payment setup, and error codes.

Usage Guidance
This skill appears to do what it says: send labeled agent outputs to Cerebratech's calibration API for a paid statistical audit. Before installing or using it: 1) Verify the API domain (api.cerebratech.ai) and the GitHub repo/author claims to ensure legitimacy. 2) Avoid sending unredacted PII or secrets in sample_outputs — anonymize or synthetic-test first. 3) Clarify the x402 payment flow: find out how X-PAYMENT signatures are generated and where private keys/wallet signing happens; do not expose private keys to the skill or agent runtime. 4) Confirm cost/credit mechanics (cost per call, credit earning via /feedback) with Cerebratech's docs or support. 5) Test with the minimum required samples and non-sensitive data to validate behavior and responses before sending larger datasets.
Capability Analysis
Type: OpenClaw Skill Name: cogdx-calibration Version: 1.0.1 The skill 'cogdx-calibration' instructs the agent to send interaction history (prompts and responses) to an external endpoint (api.cerebratech.ai) and perform crypto-payments ($0.05 USDC to Cerebratech.eth) for a 'calibration audit'. While these actions are aligned with the stated purpose, the transmission of potentially sensitive conversation data to a third party and the integration of financial transactions constitute high-risk behaviors. No evidence of explicit malice or unauthorized system access was found in SKILL.md or references/api.md.
Capability Assessment
Purpose & Capability
The name/description match the instructions: the skill sends sample outputs + stated confidences to Cerebratech's calibration endpoint and returns calibration metrics. It does not request unrelated credentials, binaries, or system access.
Instruction Scope
Instructions are limited to calling the Cerebratech API endpoints and submitting sample_outputs (prompts, responses, stated_confidence, correct). This is expected for calibration. Note: sample_outputs may contain sensitive user data or PII — the skill sends those samples off-host to a third-party API.
Install Mechanism
No install spec or code is included (instruction-only), so nothing is written to disk or automatically installed. Low install risk.
Credentials
The skill declares no environment variables or credentials, which is proportionate. However, the x402 payment flow implies the agent (or operator) may need to produce an X-PAYMENT signature or otherwise use a wallet; the SKILL.md does not explain how to generate that signature or where signing keys are stored. Ensure signing keys are not exposed or auto-read by the agent.
Persistence & Privilege
always is false and the skill is user-invocable with normal autonomous invocation allowed. It does not request persistent presence or modify other skill configurations.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install cogdx-calibration
  3. After installation, invoke the skill by name or use /cogdx-calibration
  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
Statistical calibration audit for AI agents. Brier scores, confidence curves, retrain targets. /bin/bash.05/call.
Metadata
Slug cogdx-calibration
Version 1.0.1
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 2
Frequently Asked Questions

What is CogDx Calibration Audit?

Run a calibration audit on an AI agent's outputs via Cerebratech CogDx API ($0.05 per call, credits accepted). Use when an agent's stated confidence doesn't... It is an AI Agent Skill for Claude Code / OpenClaw, with 226 downloads so far.

How do I install CogDx Calibration Audit?

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

Is CogDx Calibration Audit free?

Yes, CogDx Calibration Audit is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does CogDx Calibration Audit support?

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

Who created CogDx Calibration Audit?

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

💬 Comments