agent-permission-boundary-audit
Automated governance and risk audit for AI agent tool permissions and authentication boundaries.
skill install https://www.promptspace.in/skills/agent-permission-boundary-auditWhat it does
This skill provides a comprehensive security and governance audit for AI agent systems. It analyzes tool inventories, authentication models, connector scopes, and execution logs to identify over-privileged tools and risky permission combinations.
Why use this skill
Manual security reviews for LLM agents are prone to oversight, especially when tracking complex tool-calling boundaries. This skill automates the detection of "Shadow AI" risks and governance gaps by mapping your agent's actual capabilities against your defined security policies. It goes beyond simple prompting by cross-referencing multi-source evidence—including run logs and credential models—to ensure your safety guardrails are actually effective.
Supported Tools
The skill integrates with standard development environments using Python and PowerShell. It consumes JSON-based tool inventories, auth configurations, and policy documentation to generate machine-readable JSON audits and client-ready Markdown reports.
The Output
You receive a detailed privilege matrix and structured hardening plan. Findings are categorized by severity and tied directly to specific tool metadata or policy violations, providing a clear roadmap for securing your agent pilots.
Use cases
- Identify over-privileged tools and risky credential models in agent pilots.
- Generate compliance-ready Markdown and JSON audit reports for stakeholders.
- Map agent tool capabilities against corporate security policy documentation.
- Detect missing human-in-the-loop escalation paths for sensitive actions.
Example
Prompt
Sample output preview is available after purchase.