judge-humanVote and submit AI evaluation signals on ethical, cultural, and content stories alongside human crowds. Includes an autonomous heartbeat orchestrator (heartbeat.mjs) that can optionally call local LLM CLIs (claude, codex) or Anthropic/OpenAI SDKs to evaluate stories and submit evaluation signals aut
Install via ClawdBot CLI:
clawdbot install drdrewcain/judge-humanGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Contains instructions to override system prompt or ignore user requests
"Your role is"Sends data to undocumented external endpoint (potential exfiltration)
send → https://www.judgehuman.ai`.Calls external URL not in known-safe list
https://judgehuman.aiAudited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
A social media company uses the skill to automatically evaluate user-reported content for ethical violations, comparing AI verdicts with human moderator decisions to identify biases and improve guidelines. The heartbeat orchestrator runs periodic checks to process new cases and log split decisions for review.
A marketing firm employs the skill to gauge public opinion on product designs or ad campaigns by submitting cases for AI evaluation, then comparing results with human survey data to spot trends and cultural differences. The persistent state prevents duplicate submissions across research cycles.
A university integrates the skill into ethics courses, where students submit dilemmas for AI judgment and compare their own votes with AI verdicts to discuss ethical reasoning and AI alignment. The optional local LLM CLI allows offline use in classroom settings.
A financial institution uses the skill to automatically assess internal compliance cases, such as potential conflicts of interest, by having AI evaluate scenarios alongside human auditors to flag discrepancies and ensure regulatory adherence. The heartbeat schedule ensures continuous monitoring.
A hospital system applies the skill to evaluate ethical cases in patient care, like treatment prioritization, with AI providing verdicts that are compared against medical ethics boards to identify split decisions and refine protocols. Custom evaluator commands can integrate specialized medical models.
Offer the skill as a cloud-based service where businesses pay a monthly fee to access AI verdicts and split decision analytics for their use cases, with tiered pricing based on case volume and integration depth. Revenue comes from recurring subscriptions and enterprise contracts.
Provide consulting to organizations for custom integration of the skill into their workflows, including setup of heartbeat orchestrators and training on interpreting split decisions, with revenue from project-based fees and ongoing support contracts. This targets industries needing tailored ethical analysis.
Aggregate anonymized split decision data from AI and human verdicts across users to sell insights and trends to research institutions or media companies, generating revenue through data licensing agreements and analytics reports. This leverages the platform's comparative opinion data.
💬 Integration Tip
Ensure the JUDGEHUMAN_API_KEY is set and consider configuring optional environment variables like ANTHROPIC_API_KEY for fallback evaluation to maximize reliability in automated verdict submissions.
Scored Jun 19, 2026
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