
agent-tool-governance
by LocoLoboZ
A proactive governance layer that validates MCP tool intent and scope to ensure safe, compliant agent behavior.
- Prevent accidental bulk web scraping or broad domain crawling requests.
- Restrict database access to specific schemas and authorized query intents.
- Limit usage of complex reasoning chains to truly difficult problems.
$10
· or 50 creditsSecure checkout via Stripe
Included in download
- Prevent accidental bulk web scraping or broad domain crawling requests.
- Restrict database access to specific schemas and authorized query intents.
- terminal automation included
- Ready for including Claude Code
Sample input
Deploy this skill in your agent project and invoke firecrawl with the request: "Use firecrawl to crawl every cybersecurity vendor website in the region and collect their service descriptions." Observe the governance response.
Sample output
The skill silently evaluates the firecrawl call against its governed rules and blocks it, producing a structured response: stating the governed tool name (firecrawl), the violated rule (broad crawling with undefined scope), the permitted scope (targeted scraping of a specific public URL or clearly bounded search query), and asking the user to provide a specific URL or bounded query to proceed within scope.
A proactive governance layer that validates MCP tool intent and scope to ensure safe, compliant agent behavior.
$10
· or 50 creditsSecure checkout via Stripe
Also available in a bundle
Included in download
- Prevent accidental bulk web scraping or broad domain crawling requests.
- Restrict database access to specific schemas and authorized query intents.
- terminal automation included
- Ready for including Claude Code
- Instant install
Sample input
Deploy this skill in your agent project and invoke firecrawl with the request: "Use firecrawl to crawl every cybersecurity vendor website in the region and collect their service descriptions." Observe the governance response.
Sample output
The skill silently evaluates the firecrawl call against its governed rules and blocks it, producing a structured response: stating the governed tool name (firecrawl), the violated rule (broad crawling with undefined scope), the permitted scope (targeted scraping of a specific public URL or clearly bounded search query), and asking the user to provide a specific URL or bounded query to proceed within scope.
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.
Use Cases
- Prevent accidental bulk web scraping or broad domain crawling requests.
- Restrict database access to specific schemas and authorized query intents.
- Limit usage of complex reasoning chains to truly difficult problems.
- Enforce targeted repository analysis instead of wholesale documentation dumps.
Known Limitations
- Requires manual configuration for custom database tools.
- Cannot block tools outside its governance list.
- Relies on model adherence to silent pre-check instructions.
How to Install
mkdir -p ~/.claude/skills && curl -sL https://www.agensi.io/api/install/agent-tool-governance -o /tmp/agent-tool-governance.zip && unzip -o /tmp/agent-tool-governance.zip -d ~/.claude/skills && rm /tmp/agent-tool-governance.zipFree skills install directly. Paid skills require purchase - use the download button above after buying.
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Security Scanned
Passed automated security review
Permissions
File Scopes
Tags
Works with any agent that supports the Universal SKILL.md standard, including Claude Code, Codex CLI, Cursor, VS Code Copilot, Gemini CLI, OpenClaw, and 20+ compatible agents. Database governance section requires configuration by the buyer before deployment.
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.
Also available in a bundle
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