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    Agent Tool Governance

    by LocoLoboZ

    2

    A proactive governance layer that validates MCP tool intent and scope to ensure safe, compliant agent behavior.

    $10

    · or 50 credits

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    About this skill

    What it does

    The Agent Tool Governance skill acts as an invisible, proactive security and compliance layer for your AI agents. It intercepts intent before sensitive Model Context Protocol (MCP) tools are invoked, performing a silent audit against defined safety and scoping rules. By assessing intent, target, and scope, it ensures your agent never oversteps its bounds while maintaining a seamless user experience for valid requests.

    Why use this skill

    Standard AI prompts often fail to prevent "tool sprawl" or accidental data leaks when using powerful scraping and database tools. This skill is superior to manual prompting because it provides a structured, multi-step validation logic that triggers before the execution phase. It eliminates broad crawling, unauthorized database access, and unnecessary compute usage from "thinking" tools by enforcing strict usage boundaries.

    Supported tools

    • Firecrawl: Limits usage to targeted, public URL scraping only.
    • DeepWiki: Restricts repository analysis to specific technical queries.
    • Sequential Thinking: Reserves complex reasoning for tasks that actually require it.
    • Custom Databases: Provides a configurable framework to govern SQL queries by schema, table, and intent.

    Details

    How to install

    Drop the file into your AI Agent. Works with Claude, Cursor, ChatGPT, and 20+ more.

    Security Scanned

    Passed automated security review

    Permissions

    Terminal / Shell

    File Scopes

    agent-tool-governance/**

    Creator

    I design and publish skills built from real professional practice across three areas: cyber security consulting, business operations, and AI workflow engineering. My cyber security skills draw on active advisory work spanning governance, risk, compliance, assurance, and executive reporting. They are built for practitioners who need structured, defensible outputs - not generic templates. My business operations skills cover the day-to-day work of running a consulting practice: bookkeeping, financial tracking, expense reconciliation, and marketing content - designed to reduce repetitive overhead and keep outputs consistent. My AI platform and workflow skills are built for people who want to get more out of Claude and similar platforms - covering prompt engineering, skill architecture, automation pipelines, and agent enhancement. Every skill I publish has been tested in production use before it reaches the marketplace. If it is here, it works.

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