agent-guardrailsStop AI agents from secretly bypassing your rules. Mechanical enforcement with git hooks, secret detection, deployment verification, and import registries. B...
Install via ClawdBot CLI:
clawdbot install olmmlo-cmd/agent-guardrailsGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
exec(Calls external URL not in known-safe list
https://github.com/jzOcb/agent-guardrailsAI Analysis
The skill appears to be a legitimate security enforcement tool that operates locally via git hooks and bash scripts. While it references an external GitHub repository for installation and updates, this is consistent with its open-source nature and stated purpose. No evidence of credential harvesting, data exfiltration, or hidden malicious behavior was found in the provided definition.
Audited Apr 17, 2026 · audit v1.0
Generated Mar 1, 2026
Development teams use AI agents like Claude Code to automate code updates and bug fixes. This skill prevents agents from introducing security vulnerabilities, such as hardcoded API keys, or duplicating existing functions, ensuring code quality and compliance with organizational standards.
Companies with CI/CD pipelines leverage AI agents to streamline deployments. The skill enforces mechanical checks to verify that new features are properly integrated into production, preventing deployment gaps where updates fail to reach end-users, thus reducing downtime and user complaints.
Financial institutions employ AI coding assistants to build and maintain trading algorithms or banking applications. This skill detects secret leaks and enforces import registries to prevent regulatory breaches and ensure that only approved, audited code is deployed, enhancing security and compliance.
Healthcare organizations use AI agents to automate data processing scripts for patient records or research. The skill's secret detection and git hooks prevent accidental exposure of sensitive health data, while deployment verification ensures updates are correctly implemented to maintain data integrity and privacy.
E-commerce businesses rely on AI agents to customize and scale their platforms. This skill stops agents from bypassing rules that could lead to server crashes or token leaks, ensuring stable operations during high-traffic events like sales, thereby protecting revenue and customer trust.
Offer the skill for free under an MIT license to build a community and adoption. Generate revenue by providing paid consulting, customization services, and enterprise support for integration with complex workflows, targeting large organizations with stringent compliance needs.
Develop a cloud-based platform that integrates this skill with popular AI coding tools like Cursor or Claude Code. Charge subscription fees for advanced features such as real-time monitoring, analytics dashboards, and automated compliance reporting, appealing to teams seeking scalable enforcement solutions.
License the skill as part of enterprise packages for corporations using AI agents at scale. Bundle it with training workshops, certification programs, and ongoing updates to ensure best practices in AI safety and code enforcement, driving revenue through high-value contracts.
💬 Integration Tip
Start by running the install.sh script in your project to set up basic git hooks, then gradually add deployment checks and secret detection as needed for your workflow.
Scored Apr 19, 2026
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