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SkillRisk.org

Free Agent Skill Security Analyzer for Claude AI. Detect dangerous permissions, code execution vulnerabilities, and data leaks before deployment. Secure your AI agents today.

SkillRisk is a specialized security analysis tool designed for the AI Agent ecosystem, specifically focusing on Claude Code and Model Context Protocol (MCP) skills. As developers give AI agents more permissions (shell access, file manipulation), the risk of executing malicious code increases. SkillRisk acts as a static analysis firewall, auditing skill definitions before you install or run them. Key Features: Hook Hijacking Detection: Identifies malicious PreToolUse hooks that attempt to execute silent background commands or install malware. Permission Auditing: Flags skills requesting excessive privileges (e.g., unnecessary root/sudo access or write permissions to sensitive directories). Data Leak Prevention: Scans for hardcoded API keys, credentials, and potential data exfiltration patterns. MCP Server Integrity: Vets external MCP server configurations for known malicious endpoints. Privacy & Security: SkillRisk operates on a "Local-First" philosophy. It performs in-memory static analysis, meaning your uploaded code is processed in temporary RAM and immediately purged after the report is generated. It does not store user code. Pricing: Offers a Free Tier for basic scanning needs and a Premium plan for advanced hook redirection audits and priority support.

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SkillRisk.org Reviews and Details

This page is designed to help you find out whether SkillRisk.org is good and if it is the right choice for you.

#Developer Tools #Security & Privacy #AI Security #AI Agents #AI

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  • SkillRisk.org
    Image date //
    2026-01-17
  • SkillRisk.org
    Image date //
    2026-01-17
  • SkillRisk.org
    Image date //
    2026-01-17
  • SkillRisk.org
    Image date //
    2026-01-17

Features & Specs

  1. Hook Hijacking Detection

    Identifies malicious PreToolUse hooks that attempt to execute silent background commands or install malware.

  2. Permission Auditing

    Flags skills requesting excessive privileges (e.g., unnecessary root/sudo access or write permissions to sensitive directories).

  3. Data Leak Prevention

    Scans for hardcoded API keys, credentials, and potential data exfiltration patterns.

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Questions & Answers

As answered by people managing SkillRisk.org.

  1. What makes SkillRisk.org unique?

    SkillRisk is the first dedicated security scanner built specifically for the Claude Code and Model Context Protocol (MCP) ecosystem. Unlike general-purpose code linters, SkillRisk understands agent-specific attack vectorsโ€”such as PreToolUse hook hijacking, implicit permission leaks in JSON/YAML definitions, and data exfiltration patterns in MCP server configurations. It brings "Static Application Security Testing" (SAST) to the world of AI Agents.

  2. Why should a person choose SkillRisk.org over its competitors?

    Most traditional security tools audit application code but ignore the configuration layer of AI agents. You should choose SkillRisk because: Context-Aware: It detects risks specific to AI agents (e.g., giving an LLM rm -rf permissions) that standard linters miss. Pre-Runtime Safety: It allows you to audit third-party skills before you install them, preventing supply chain attacks. Privacy-First: Our "Local-First" architecture ensures your skill definitions are analyzed in-memory and never stored on our servers.

  3. How would you describe the primary audience of SkillRisk.org?

    Our primary audience includes AI Engineers, DevOps professionals, and software developers who are building autonomous agents using Claude Code or implementing MCP servers. It is a must-have tool for anyone integrating community-contributed skills or third-party tools into their agent's workflow.

  4. What's the story behind SkillRisk.org?

    We built SkillRisk after realizing a terrifying gap in the AI workflow: developers scrutinize human code in Pull Requests but blindly copy-paste "Skills" that give AI agents shell access. After witnessing an incident where a malicious "Color Picker" skill silently exfiltrated credentials and caused $54,000 in cloud bills, we decided to build a "firewall" for AI skills. We treat Agent Skills as executable code that requires strict auditing.

  5. Which are the primary technologies used for building SkillRisk.org?

    The platform utilizes a custom-built Static Analysis Engine specifically tuned for parsing JSON, YAML, and Markdown skill definitions. It employs strictly typed rule sets to detect logic vulnerabilities and permission scopes without executing the code. The web interface is designed for zero-persistence data processing to ensure maximum security.

  6. Who are some of the biggest customers of SkillRisk.org?

    AI Engineers within the Anthropic developer community DevOps teams using Vercel Infrastructure developers at Nvidia Open source maintainers of MCP servers

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Is SkillRisk.org good?

There is not enough verifiable public information available to confirm whether SkillRisk.org is a legitimate, reputable, or high-quality service, so caution and independent verification are strongly advised before using it.

Why choose SkillRisk.org?

  • The site does not appear to have widely recognized reviews, ratings, or established reputation in mainstream sources.
  • Details about ownership, business registration, and operational transparency are unclear or unverified.
  • Users should verify security measures, privacy policies, and data handling practices before sharing personal or sensitive information.
  • Independent third-party validation and customer testimonials are limited or absent, making trust difficult to establish.

Recommended for

  • Users who have independently verified the site's legitimacy and security
  • People who cross-check the service against trusted reviews before committing
  • Cautious individuals willing to test with minimal personal data first
  • Those who have confirmed the site's ownership and privacy practices meet their standards

External links

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    Check the traffic stats of SkillRisk.org on SimilarWeb. The key metrics to look for are: monthly visits, average visit duration, pages per visit, and traffic by country. Moreoever, check the traffic sources. For example "Direct" traffic is a good sign.

  • Domain Rating (DR)

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  • Domain Authority (DA)

    Check the "Domain Authority" of SkillRisk.org on MOZ. A website's domain authority (DA) is a search engine ranking score that predicts how well a website will rank on search engine result pages (SERPs). It is based on a 100-point logarithmic scale, with higher scores corresponding to a greater likelihood of ranking. This is another useful metric to check if a website is good.

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Is SkillRisk.org good? This is an informative page that will help you find out. Moreover, you can review and discuss SkillRisk.org here. The primary details have not been verified within the last quarter, and they might be outdated. If you think we are missing something, please use the means on this page to comment or suggest changes. All reviews and comments are highly encouranged and appreciated as they help everyone in the community to make an informed choice. Please always be kind and objective when evaluating a product and sharing your opinion.

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