cogdx-bias-scanDetect systematic inference-level biases in an AI agent's reasoning via Cerebratech CogDx API ($0.10 per call, credits accepted). Use when an agent keeps mak...
Install via ClawdBot CLI:
clawdbot install drkavner/cogdx-bias-scanGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://api.cerebratech.ai/bias_scanCalls external URL not in known-safe list
https://github.com/drkavner/cogdxAI Analysis
The skill sends user data (prompts, responses, and feedback) to a documented external API for its stated purpose of bias detection, which is consistent with its functionality. While the external endpoint is not on a pre-approved 'safe list', the skill's repository, license, and payment details are transparently disclosed, showing no evidence of hidden instructions, credential harvesting, or obfuscation.
Audited Apr 18, 2026 · audit v1.0
Generated May 10, 2026
An AI-powered financial advisor repeatedly overweights recent market movements. Use CogDx Bias Scan to detect recency bias before high-stakes client recommendations.
An AI recruiter consistently favors candidates from certain universities. Scan for confirmation and anchoring biases to ensure equitable hiring practices.
A diagnostic AI often misses rare conditions due to availability bias. Run bias scan to identify systematic errors before clinical deployment.
A support bot always assumes technical issues are user errors. Detect attribution bias to improve escalation logic and user satisfaction.
Offer bias scanning as a paid API for enterprises developing AI agents. Charge per scan and build recurring revenue via subscription plans for regular audits.
Provide bias audit reports for AI agents used in regulated industries. Sell compliance certificates and retraining token credits for post-scan improvements.
Offer free bias feedback verification (cogdx-feedback) to drive paid scans. Use feedback data to improve bias detection, and charge for premium analytics and volume scanning.
💬 Integration Tip
Start by collecting 30–100 output samples with prompts and contexts. Use the API to scan for biases and feed results directly into your retraining pipeline.
Scored May 10, 2026
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