ecc-cmd-learn-eval

name	ecc-cmd-learn-eval
description	Command skill for 'learn-eval'. Use when users request learning extraction from completed tasks and outcomes; evaluation, benchmarking, quality scoring, and regression checks.

ecc-cmd-learn-eval

Validate candidate learnings with measurable checks.

Workflow

1. Select learned patterns to test.
2. Define acceptance metrics (pass rate, defects, cycle time).
3. Run controlled trials/evals.
4. Compare baseline vs learned-pattern runs.
5. Mark pattern status:
   • adopt
   • revise
   • reject

Output

## Learning Evaluation
- Pattern: ...
- Baseline: ...
- Trial: ...
- Delta: ...
- Decision: adopt|revise|reject

Rules

• Do not adopt patterns without measurable improvement.
• Flag regressions immediately.

ECC Parity Notes

• This skill is adapted from ECC intent and translated to OpenClaw-native tool workflows.
• Prefer reproducible, tool-backed execution over harness-specific slash semantics.
• Keep outputs evidence-based and verification-first.

OpenClaw Constraints

• If upstream flow assumes unavailable hooks/tools, use documented fallback scripts in openclaw-ecc/scripts/.
• Mark non-applicable checks as SKIP rather than hard-failing when environment support is absent.