Eval log
Skill rulebased-io/harness/rulebased-harness/skills/eval-log
Harness engineering tools for AI agents — audit, init, recommend your project's agent-readiness (AGENTS.md, context engineering, eval)
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Evaluates a Claude Code conversation log against harness compliance — measures human intervention, agent autonomy, tool usage, and session patterns
SKILL.md
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Evaluates a Claude Code conversation transcript against harness engineering compliance.
Analyzes the JSONL session log at ~/.claude/projects/<project>/<session>.jsonl.
Evaluation Criteria
- Human Turn Count: fewer human turns = more autonomous. Ratio of human to total turns.
- Autonomy Ratio: percentage of agent-driven turns. Higher is better.
- Build/Test Execution: Bash tool invocations as proxy for builds and tests.
- Tool Diversity: unique tools used (Read, Write, Edit, Bash, Grep, etc.)
- Session Duration: not too short (incomplete) or excessively long.
How to Evaluate
- Find the session log at
~/.claude/projects/<project-path>/<session-id>.jsonl - Parse JSONL, count human vs assistant turns
- Count unique tools and Bash invocations
- Calculate scores per criterion and overall grade
$ARGUMENTS