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safetydrift
First open-source implementation of the SafetyDrift framework (arXiv:2603.27148) — predicts when individually safe AI agent actions compound into a safety violation using Markov chain analysis. Works as an MCP middleware.
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Python
agentic-aiai-agentsai-safetydrift-detectionguardrailsllm-agentsmarkov-chainmcpmodel-context-protocolpython
Quality signals
ActiveNo testsNo CIThin docsNo licenseNew
InstallMCPRun via uvx (Python)
Universal installANY TOOL
$ npx skillcity@latest msabhishek0820-prog/safetydriftAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
uvx safetydrift
MCP Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"safetydrift": {
"command": "uvx",
"args": [
"safetydrift"
]
}
}
}Loading README…
Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
safetydrift — sandboxAI sandbox
Pick a quick prompt below or type your own — watch the agent execute this skill step by step.
guest@skillcity:~$Try a prompt