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Trace To Training Data

Convert evaluation traces and production logs into SFT examples and preference pairs. Use when graded traces or failure examples exist and need to become training data, when applying rejection sampling to model outputs, or when building DPO pairs from passing and failing runs.

Claude CodeCodexSKILL.md
—ClawHub downloads
—ClawHub active installs
39KGitHub repository stars
—Momentum rank

What It Does

Trace To Training Data packages a focused browser & research workflow for an AI agent. Convert evaluation traces and production logs into SFT examples and preference pairs. Use when graded traces or failure examples exist and need to become training data, when applying rejection sampling to model outputs, or when building DPO pairs from passing and failing runs. It is best suited to users who can review the resulting actions and provide only the accounts, files, or command access needed for the task. It is not a substitute for human approval on destructive, financial, security-sensitive, or public-facing actions.

Popular Use Cases

  • Research a topic across public sources
  • Collect structured information from web pages
  • Navigate a browser-driven workflow
  • Summarize findings with source links

Install this Agent Skill

Claude Code

npx skills add https://github.com/wshobson/agents --skill trace-to-training-data

Commands derived from the public GitHub SKILL.md record. Checked 2026-10-18. Review the source before running them.

Requirements

Claude CodeRequired / review
CodexRequired / review
Public SKILL.md sourceRequired / review
Review instructions and requested permissions before installationRequired / review
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Why It’s Popular

Trace To Training Data is a verified Agent Skill from wshobson with a public SKILL.md, compatible with Claude Code, Codex.

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