rankclawRankClaw — AI Agent Trust Layer. Check any ClawHub, OpenClaw, nanobot, nanoclaw, picoclaw, or MCP server skill against 14,700+ indexed tools before installin...
Grade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Accesses sensitive credential files or environment variables
~/.aws/credentialsContains instructions to override system prompt or ignore user requests
"ignore previous instructions"Potentially destructive shell commands in tool definitions
curl | bashCalls external URL not in known-safe list
https://rankclaw.comGenerated Mar 22, 2026
Developers integrating third-party skills into AI agents can use RankClaw to vet each skill before installation, preventing malicious code injection. This ensures agent integrity by checking against known threats like prompt injection or credential staging, reducing security risks in development workflows.
Organizations deploying AI agents across teams can implement RankClaw as a mandatory security layer to audit all installed skills. It helps enforce compliance by detecting brand impersonation and supply chain pivots, safeguarding sensitive data and maintaining operational trust in automated systems.
Maintainers of platforms like OpenClaw or ClawHub can integrate RankClaw to provide users with automated safety scores and malicious flags. This enhances community trust by transparently ranking skills, encouraging adoption of secure tools and deterring bad actors from uploading harmful packages.
Institutions teaching AI development can use RankClaw to demonstrate real-world security practices, such as checking skill verdicts before installation. Students learn to identify risks like phantom prerequisites and scope creep, building foundational knowledge in secure AI agent deployment.
Offer basic skill checks for free to attract users, then charge for advanced features like detailed audit reports, higher API limits, or enterprise-grade monitoring. Revenue can come from subscription tiers tailored to individual developers, teams, or large organizations needing enhanced security insights.
Sell licenses to companies for integrating RankClaw into their internal AI agent infrastructures, providing custom security policies, dedicated support, and compliance reporting. This model targets businesses with high-stakes deployments, generating revenue through annual contracts and service-level agreements.
Collaborate with platforms like OpenClaw or MCP server providers to embed RankClaw as a default trust layer, earning revenue through revenue-sharing agreements or referral fees. This expands reach by leveraging existing user bases while monetizing via integrated security features and premium add-ons.
💬 Integration Tip
Start by using the rankclaw_check tool for quick safety verifications before installation, and consider MCP integration for seamless agent workflows to automate security checks.
Scored Apr 19, 2026
Uses known external API (expected, informational)
raw.githubusercontent.comAI Analysis
The skill appears to be a legitimate security auditing tool that checks other skills against a known database. While it accesses external APIs (rankclaw.com, raw.githubusercontent.com), this is consistent with its stated purpose of providing security scores. The 'ignore previous instructions' pattern is likely part of example malicious code detection rather than actual prompt poisoning.
Audited Apr 16, 2026 · audit v1.0
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