Agent Permission Boundary Audit

    2

    Automated governance and risk audit for AI agent tool permissions and authentication boundaries.

    $5

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    0 installsSecurity scanned

    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    agent-permission-boundary-audit

    Example session with this skill installed

    Audit the Support Agent Pilot using sample-tools.json and sample-policy.md to check for unauthorized destructive permissions.

    • Read your context and instructions
    • Compiled the agent-permission-boundary-audit

    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.

    High - No human-in-the-loop approval found in policy.md

    Connects securely to your tools. The creator never sees your data.

    What you get

    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.

    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.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

      Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.

    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

    Skills folder by agent

    Click the path to copy it. Create the folder if it does not exist yet.

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    Fresh listing

    Recently published to Agensi

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    Trust & safety

    Security scanned

    Verified clean 6 months ago

    • Passed all security checks, Safe to install

    Listed6 months ago

    What's inside

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