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decision-trace-reconstructor
Post-hoc trace reconstruction for AI agents: turns raw runtime traces into per-property reconstructability reports naming evidenced, missing, and opaque decision facts.
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Python
agent-runtimeai-agentsauditabilitybedrockdecision-tracegovernance-evidencejson-ldlangsmithmcpopenai-agentsopentelemetryprovenance
Quality signals
ActiveNo testsNo CIThin docsNo licenseNew
InstallMCPRun via uvx (Python)
Universal installANY TOOL
$ npx skillcity@latest governance-evidence/decision-trace-reconstructorAuto-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 decision-trace-reconstructor
MCP Configuration
Add this to your claude_desktop_config.json
{
"mcpServers": {
"decision-trace-reconstructor": {
"command": "uvx",
"args": [
"decision-trace-reconstructor"
]
}
}
}Loading README…
Ask a simulated agent to run this skill. It loads the real SKILL.md and reasons over your task with NVIDIA.
decision-trace-reconstructor — 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