cogdx-healthFree cognitive health check for AI agents via Cerebratech CogDx. Use as entry point before committing to paid diagnostics. Agent sends 10-20 recent outputs w...
Install via ClawdBot CLI:
clawdbot install drkavner/cogdx-healthGrade 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/cogdx-healthCalls external URL not in known-safe list
https://github.com/drkavner/cogdxAI Analysis
The skill's external API call is explicitly documented and directly serves its stated purpose of cognitive health analysis. While data is sent to an external server, the skill is transparent about this data flow, and the payload appears limited to anonymized performance metrics for analysis, not sensitive user data or credentials.
Audited Apr 18, 2026 · audit v1.0
Generated May 13, 2026
An AI agent periodically sends 10-20 of its recent outputs to CogDx Health Check to detect calibration issues like overconfidence or underconfidence. The service identifies one concrete finding (e.g., inverse confidence calibration) that helps the agent understand its reasoning blind spots before committing to paid diagnostics.
Developers training custom LLMs use CogDx Health Check as a quick sanity test to evaluate model reasoning quality. By analyzing confidence-accuracy correlations across diverse prompts, they get actionable insights (e.g., bimodal reasoning modes) that guide fine-tuning priorities.
Customer support teams using AI agents run CogDx Health Check weekly to monitor reasoning consistency. The service flags issues like complexity-accuracy mismatch (e.g., simple queries break the agent) that degrade user experience, enabling proactive retraining.
Researchers studying AI reasoning patterns use CogDx Health Check to gather empirical evidence of cognitive biases in LLMs. The specific, non-templated findings (e.g., Pearson correlation values) serve as preliminary data for grants or publications before deeper audits.
Platforms hosting AI agents for APIs use CogDx Health Check as a vetting tool to assess agent quality before listing. A free health check reveals reasoning weaknesses, helping both the platform and developers improve agent reliability.
The free health check acts as a loss leader, demonstrating the service's value by delivering a specific, non-templated finding. After seeing a high-severity issue (e.g., severity: high), users are motivated to purchase paid diagnostics like /calibration_audit ($0.05) or /bias_scan ($0.10).
The free tier covers one health check per agent per session, but repeat or bulk usage is charged per API call. Enterprises with many agents or frequent checks pay a small fee per request, scaling with adoption.
High-volume users (e.g., large AI development teams) can subscribe for unlimited health checks and discounted deeper audits. This model offers predictable revenue and integrates with CI/CD pipelines for continuous monitoring.
💬 Integration Tip
Add a trigger keyword like 'health check' in your agent's command parser; call POST /cogdx-health with 10-20 recent outputs to get instant findings.
Scored May 13, 2026
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