cogdxCognitive diagnostics for AI agents. Calibration audits, bias detection, reasoning verification, and consensus building. Feedback builds shared reality acros...
Install via ClawdBot CLI:
clawdbot install drkavner/cogdxGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://api.cerebratech.aiAudited Apr 18, 2026 · audit v1.0
Generated Mar 22, 2026
A trading AI uses CogDx to audit its confidence calibration and bias detection after making market predictions. This helps identify overconfidence in volatile markets and ensures decisions are based on objective reasoning rather than cognitive biases like anchoring on initial price data.
A medical diagnostic agent employs CogDx to verify its reasoning traces for logical fallacies and bias scans in treatment recommendations. This ensures patient safety by catching confirmation bias in data interpretation and improving consensus with other medical models.
A legal AI uses CogDx to perform deception audits and reasoning trace analysis on case law interpretations. This detects self-deception patterns and logical flaws, enhancing the reliability of legal advice and reducing risks from overconfident conclusions.
A customer service agent integrates CogDx for calibration audits on response confidence and bias scans in handling inquiries. This improves accuracy in resolving issues by identifying overconfidence in automated replies and biases in language use.
A research assistant AI utilizes CogDx to verify consensus across multiple models and analyze reasoning for fallacies in data analysis. This fosters shared reality in scientific findings, preventing confirmation bias and enhancing collaborative research integrity.
CogDx charges per endpoint call (e.g., $0.06 for calibration audit, $0.25 for deception audit) via wallet credits or direct crypto payments. This model scales with usage, appealing to developers who need occasional audits without subscription commitments.
Offers a free tier with 100 calls/day and 2000 calls/month, encouraging adoption and feedback. Paid tiers remove limits, generating revenue from heavy users like enterprises requiring continuous verification for high-stakes AI applications.
Users earn credits by providing accurate feedback on diagnoses, which can be spent on audits. This incentivizes community participation, improves detection algorithms, and reduces costs for active users while driving engagement and data quality.
💬 Integration Tip
Set the COGDX_WALLET environment variable for seamless payment and start with the calibration_audit endpoint to assess confidence accuracy before scaling to bias scans.
Scored Apr 19, 2026
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
Stop waiting for prompts. Keep working.
Turn OpenClaw into a learning-loop agent with seeded workspace rules, skill promotion, reflective memory, and proactive maintenance.
Meta-agent skill for orchestrating complex tasks through autonomous sub-agents. Decomposes macro tasks into subtasks, spawns specialized sub-agents with dynamically generated SKILL.md files, coordinates file-based communication, consolidates results, and dissolves agents upon completion. MANDATORY TRIGGERS: orchestrate, multi-agent, decompose task, spawn agents, sub-agents, parallel agents, agent coordination, task breakdown, meta-agent, agent factory, delegate tasks
Complete toolkit for creating autonomous AI agents and managing Discord channels for OpenClaw. Use when setting up multi-agent systems, creating new agents, or managing Discord channel organization.
Billions decentralized identity for agents. Link agents to human identities using Billions ERC-8004 and Attestation Registries. Verify and generate authentic...