Enterprise Agent Policy Pack v1.0

Category: security

Price: $4.99

Release status: READY_FOR_LISTING / DOCS_COMPLETE

Source QA: Viper APPROVED_FOR_RELEASE and Warlock security-cleared on 2026-05-27

What it does

Enterprise Agent Policy Pack reviews local policy documents to see whether an AI-agent deployment has the controls enterprise buyers expect. It checks for identity, managed configuration, sandboxing, permissions, audit logging, retention, incident response, secrets handling, and human oversight evidence.

The output is a buyer-friendly readiness verdict — GO_WITH_CONTROLS, HOLD_FOR_GAPS, or BLOCKED — with missing controls and recommended next steps. It is an advisory readiness tool, not a legal or compliance certification.

Use cases

AI vendors and consultants preparing for enterprise security, procurement, or governance reviews.
Internal automation teams validating whether agent deployments have documented oversight before rollout.
Regulated buyers who need a fast local checklist for SSO, audit, retention, secrets, incident response, and approval controls.

Requirements

Local policy documents in Markdown, text, JSON, YAML, or YML format.
Python 3 with standard library only; no pip dependencies.
No identity-provider, OAuth, compliance-platform, or network access required.
No API keys required.
Tested against the OpenClaw v2026.3.23 workspace pattern.

Example usage


python3 skills/enterprise-agent-policy-pack/scripts/enterprise_policy_review.py \
  --target ./policy-docs \
  --regulated \
  --json

Expected output


{
  "ok": false,
  "status": "BLOCKED",
  "regulated": true,
  "files_reviewed": 2,
  "control_coverage": {
    "identity_sso_oidc": true,
    "audit_logging": true,
    "data_retention": false,
    "incident_response": false,
    "secrets_handling": true
  },
  "findings": [
    {"severity": "high", "code": "missing_control", "control": "data_retention"},
    {"severity": "high", "code": "missing_control", "control": "incident_response"}
  ],
  "recommendations": [
    "Regulated deployments require owner sign-off and formal legal/procurement review outside this tool.",
    "Add evidence for data_retention.",
    "Add evidence for incident_response."
  ],
  "disclaimer": "Advisory readiness review only; not legal, compliance, or procurement certification."
}

Marketing copy

Enterprise Agent Policy Pack turns scattered governance notes into a clear enterprise-readiness review for AI-agent deployments. It checks local policy evidence across identity, managed config, sandboxing, permissions, audit, retention, incident response, secrets, and human oversight, then highlights the gaps that could block procurement or regulated rollout — local-only, dependency-free, and built for practical pre-sales and internal governance work.

Enterprise Agent Policy Pack