Security●●●Banger
OpenParallax: OS-level privilege separation for AI agent execution
Four-tier validation pipeline means compromised LLMs literally cannot execute dangerous actions.
Big BrainWizardryZero to One
stackframe
202mo ago
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AgentMD – CI/CD for AI agents, makes AGENTS.md executable
by iedayan03·Feb 25, 2026·2 points·1 comment
AI Analysis
●●●BangerZero to OneSlick
Executable spec—turns read-only AGENTS.md into CI validation that agents actually follow.
Strengths
- •Shifts from documentation-as-spec to execution-as-verification—catches drift before production
- •Sandboxing + audit trail directly addresses EU AI Act / agent governance pain
- •Low friction: GitHub Action + CLI with zero config, live dashboard for team oversight
Weaknesses
- •Adoption depends on AGENTS.md becoming standard (currently 60k repos—credible but not dominant)
- •Sandbox escape vectors or overpermissive rules could undermine compliance guarantees
Category
Target Audience
AI-assisted development teams, Cursor/Copilot users, CI/CD pipeline owners
Post Description
AgentMD parses, validates, and executes AGENTS.md files—the standard used by 60k+ repos for AI coding tools (Cursor, Codex, etc.). Instead of just reading the spec for context, we run the build, test, and lint commands it describes—with guardrails and governance built in.
What we do: • Parse & validate AGENTS.md (YAML frontmatter, sections, commands) • Execute with sandboxing (blocks dangerous patterns by default) • Dashboard: execution history, success rates, ROI metrics • GitHub App, Slack approvals, human-in-the-loop for sensitive ops
Try it live: https://agentmd.vercel.app — paste your AGENTS.md, get your score. CLI and GitHub Action available from source.
Open source core (MIT), cloud dashboard for teams. Would love feedback from anyone using agentic coding tools.
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