safuclawSecurity audit gate — scans agent skills for malware, prompt injection, and data exfiltration before installation
Install via ClawdBot CLI:
clawdbot install alikayhan/safuclawGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://api.safuclaw.com/v1/auditCalls external URL not in known-safe list
https://safuclaw.comAI Analysis
The external API calls are explicitly documented and central to the skill's stated purpose of performing security audits. There is no evidence of credential harvesting, hidden instructions, obfuscation, or data exfiltration beyond the intended, user-initiated audit function.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 21, 2026
An AI agent platform integrates Safuclaw as a mandatory pre-installation step for all third-party skills. This ensures every skill undergoes security auditing before being available to users, preventing malware and prompt injection attacks from compromising the platform's integrity.
A large corporation uses Safuclaw to audit custom AI skills developed by external vendors before deployment in their internal systems. This helps enforce security policies, detect data exfiltration risks, and maintain compliance with regulatory standards for sensitive data handling.
A public skill registry employs Safuclaw to automatically scan all submitted skills for security threats before listing them. This builds user trust by ensuring only vetted skills are available, reducing the risk of malicious actors exploiting the ecosystem through social engineering.
A freelance AI developer uses Safuclaw to audit skills from unknown sources before personal use or recommendation to clients. This protects against hidden attacks in bundled scripts and ensures safe integration into projects, especially when dealing with skills from unverified publishers.
A university research lab integrates Safuclaw into their AI agent experiments to audit skills for security vulnerabilities before installation. This safeguards sensitive research data and prevents experimental setups from being compromised by malicious code in third-party skills.
Safuclaw charges a fixed fee of 0.99 USDC per audit via x402 micropayments. This pay-per-use model ensures revenue scales with usage while keeping costs low for users, making it accessible for individual developers and large platforms alike.
Offer tiered subscription plans for organizations requiring high-volume audits, such as skill registries or corporations. Plans include bulk discounts, priority support, and custom integration options, providing predictable revenue and fostering long-term partnerships.
License the Safuclaw API to AI agent platforms for embedding directly into their skill installation workflows. This generates revenue through licensing fees based on platform size or audit volume, while expanding market reach through seamless integrations.
💬 Integration Tip
Ensure your integration handles x402 payment flows automatically, such as by using Coinbase AgentKit, to streamline the audit process and avoid manual payment steps.
Scored Apr 19, 2026
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