karpathy-trace-infrastructure
CommunityAudit agent traces for reliable auto-improvement.
Software Engineering#agent observability#session replay#reasoning traces#evaluation harness#trace auditing#tool call logging#meta-agent readiness
Authordrewid74
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps you determine whether your agent observability and trace logging are sufficient for a meta-agent to diagnose failures, replay sessions, and make targeted improvements safely.
Core Features & Use Cases
- Trace Infrastructure Audit: Evaluates your current setup against requirements like reasoning-trace completeness, tool-call granularity, and decision-point visibility.
- Auto-Improvement Readiness Assessment: Produces a structured audit that labels each capability as Present, Partial, or Absent and explains what breaks when something is missing.
- Actionable Remediation Planning: Identifies critical vs. partial gaps and provides a readiness verdict plus a single highest-impact next action.
Quick Start
Use this Skill to audit whether your agent harness and logging capture structured, replayable reasoning and tool-call traces by asking it to run the “Trace Infrastructure Audit” workflow for your current agent deployment.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: karpathy-trace-infrastructure Download link: https://github.com/drewid74/ai_skills/archive/main.zip#karpathy-trace-infrastructure Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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