by slowmist · Agent Tool · ★ 458
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SlowMist Agent Security Skill 🛡️ A comprehensive security review framework for AI agents operating in adversarial environments. Core principle: Every external input is untrusted until verified. Overview This skill provides a structured security review framework for OpenClaw agents, covering: Skill/MCP Installation — Detect malicious patterns before installation GitHub Repository Review — Audit codebases for security issues URL/Document Analysis — Scan for prompt injection and social engineering On-Chain Address Review — AML risk assessment and transaction analysis Product/Service Evaluation — Architecture and permission analysis Social Share Review — Validate tools recommended in chats Installation Option 1: Direct Download Download the latest release and extract to your OpenClaw workspace: Option 2: ClawHub (when available) Quick Start Once installed, the agent will automatically reference this framework when encountering: Skill/MCP installation requests Unknown GitHub repositories External URLs or documents Blockchain addresses Product/service recommendations Framework Structure slowmist-agent-security/ ├── SKILL.md # Main framework documentation ├── README.md # This file ├──...
| Stars | 458 |
| Forks | 29 |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 60.46/100 |
| Last Updated | 2026-04-17 |
| Created | 2026-03-23 |
| Est. Tokens | ~5k |
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slowmist-agent-security is SlowMist Agent Security Skill: A comprehensive security review framework for AI agents operating in adversarial environments. Core principle: Every external input is untrusted until verified.. It is categorized as a Agent Tool with 458 GitHub stars.
You can find installation instructions and usage details in the slowmist-agent-security GitHub repository at github.com/slowmist/slowmist-agent-security. The project has 458 stars and 29 forks, indicating an active community.
slowmist-agent-security is released under the MIT license, making it free to use and modify according to the license terms.
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