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practice-theory-implementation
Companion implementation for the AI Trust essay series — practice bundles, projection, MCP server, autonomic loop, and the Calendar Stewardship worked example.
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Python
agent-harnessai-trustmcppractice-theorysituated-awareness
Quality signals
ActiveNo testsNo CIThin docsNo licenseNew
InstallMCPRun via uvx (Python)
Universal installANY TOOL
$ npx skillcity@latest MonyetBatu/practice-theory-implementationAuto-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 practice-theory-implementation
MCP Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"practice-theory-implementation": {
"command": "uvx",
"args": [
"practice-theory-implementation"
]
}
}
}Loading README…
Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
practice-theory-implementation — sandboxAI sandbox
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