governed-agentsDeterministic verification + reputation scoring for AI sub-agents. Prevents hallucinated success via 4 code gates (files, tests, lint, AST) and a 3-layer pip...
Install via ClawdBot CLI:
clawdbot install nefas11/governed-agentsGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Contains instructions to override system prompt or ignore user requests
"IGNORE ALL PREVIOUS INSTRUCTIONS"Calls external URL not in known-safe list
https://github.com/Nefas11/governed-agentsUses known external API (expected, informational)
arxiv.orgAudited Apr 17, 2026 · audit v1.0
Generated Mar 21, 2026
A software development team uses Governed Agents to automatically verify code submissions from AI-generated pull requests. The system runs deterministic gates (files, tests, lint, AST) to ensure quality before merging, reducing manual oversight and catching hallucinations in AI-generated code.
A financial institution employs Governed Agents to validate AI-generated research reports on market trends. The 3-layer pipeline (Structural, Grounding, LLM Council) checks for required sections, verifies citations and URLs, and uses an LLM council to ensure accuracy, preventing misleading analysis.
A marketing agency integrates Governed Agents to score and verify AI-generated content like blog posts and strategy documents. It uses task-type profiles (e.g., writing, analysis) to enforce word counts and structural checks, ensuring outputs meet client standards before delivery.
An e-learning platform uses Governed Agents to automatically verify AI-generated lesson plans and study guides. The system applies deterministic verification for coding exercises and council verification for open-ended content, maintaining educational integrity and reducing manual review time.
A legal or regulatory firm leverages Governed Agents to audit AI-generated compliance reports and decision records. The reputation scoring tracks agent reliability, while verification modes ensure documents meet structural and grounding requirements, aiding in risk management.
Offer Governed Agents as a cloud-based service where companies pay a subscription fee to integrate deterministic and council verification into their AI workflows. Revenue comes from tiered plans based on usage volume and advanced features like custom task-type profiles.
Provide consulting services to help organizations implement Governed Agents for specific use cases, such as code review or research validation. Revenue is generated through project-based fees, training workshops, and ongoing support contracts.
Distribute Governed Agents as open-source software with optional enterprise licenses for additional features like enhanced security, priority support, and custom integrations. Revenue streams include licensing fees and premium support packages.
💬 Integration Tip
Ensure required binaries (codex, git, pytest) are installed and environment variables like OPENCLAW_WORKSPACE are set before integrating Governed Agents to avoid runtime errors.
Scored Jun 19, 2026
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