Agent Permission Boundary Audit
by Roy Yuen
Automated governance and risk audit for AI agent tool permissions and authentication boundaries.
- 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.
$5
· or 25 creditsSecure checkout via Stripe
Included in download
- Identify over-privileged tools and risky credential models in agent pilots.
- Generate compliance-ready Markdown and JSON audit reports for stakeholders.
- Includes example output and usage patterns
See it in action
You say
Audit the Support Agent Pilot using sample-tools.json and sample-policy.md to check for unauthorized destructive permissions.
Your agent does
Finding: Over-broad scope in 'SupportAgent' Tool: 'db_delete' Risk: High - No human-in-the-loop approval found in policy.md for destructive actions. Hardening: Implement a mandatory approval gate for the 'delete' scope in connector-config.json.
Agent Permission Boundary Audit
by Roy Yuen
Automated governance and risk audit for AI agent tool permissions and authentication boundaries.
$5
· or 25 creditsSecure checkout via Stripe
Included in download
- Identify over-privileged tools and risky credential models in agent pilots.
- Generate compliance-ready Markdown and JSON audit reports for stakeholders.
- Includes example output and usage patterns
- Instant install
See it in action
You say
Audit the Support Agent Pilot using sample-tools.json and sample-policy.md to check for unauthorized destructive permissions.
Your agent does
Finding: Over-broad scope in 'SupportAgent' Tool: 'db_delete' Risk: High - No human-in-the-loop approval found in policy.md for destructive actions. Hardening: Implement a mandatory approval gate for the 'delete' scope in connector-config.json.
About This Skill
What 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.
Known Limitations
- Does not perform live network penetration testing.
- Accuracy depends on the quality of provided JSON tool inventories and policy documentation.
How to install
Drop the file into your AI tool. Works with Claude, Cursor, ChatGPT, and 20+ more.
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Security Scanned
Passed automated security review
Permissions
No special permissions declared or detected
Compatible with SKILL.md-compatible agents including Claude Code and Python-integrated CLI environments.
Frequently Asked Questions
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