Files
yao-meta-skill/evals

Evals

This directory makes trigger quality and packaging quality more reproducible.

Contents:

  • trigger_cases.json: full regression set with family labels
  • train/, dev/, holdout/: split trigger suites for iterative tuning and final verification
  • blind_holdout/: description-optimization acceptance prompts that do not participate in candidate ranking
  • adversarial/: harder route-collision prompts for description optimization, including noisy positives and deceptive non-trigger requests
  • confusion/: sibling-skill routing prompts used to catch route theft and false no_route decisions
  • semantic_config.json: local semantic-intent concepts, exclusions, and weights
  • promotion_policy.md: formal rules for when a route is promotable
  • baseline_description.txt: intentionally weaker trigger description
  • improved_description.txt: current stronger trigger description
  • ../reports/description_optimization*.{json,md}: generated route-optimization reports for the root skill
  • failure-cases.md: current weak spots and regression targets
  • packaging_expectations.json: required packaging behaviors for supported targets
  • ../reports/: generated suite JSON plus the homepage-visible family summary panel source

Use:

python3 scripts/trigger_eval.py --description-file evals/improved_description.txt --cases evals/trigger_cases.json
python3 scripts/trigger_eval.py --description-file evals/improved_description.txt --cases evals/trigger_cases.json --baseline-description-file evals/baseline_description.txt
python3 scripts/run_eval_suite.py
python3 scripts/judge_blind_eval.py --description-file SKILL.md --cases evals/blind_holdout/trigger_cases.json --semantic-config evals/semantic_config.json
python3 scripts/run_description_optimization_suite.py --history-snapshot-output evals/history/description_optimization/YYYY-MM-DD-adversarial-calibration-and-family-drift.json --snapshot-date YYYY-MM-DD --snapshot-id adversarial-calibration-and-family-drift --snapshot-label "Adversarial Calibration And Family Drift"
python3 scripts/build_confusion_matrix.py --history-snapshot-output evals/history/YYYY-MM-DD-route-scorecard-foundation.json --snapshot-date YYYY-MM-DD --snapshot-id route-scorecard-foundation --snapshot-label "Route Scorecard Foundation"
python3 scripts/render_eval_dashboard.py
python3 scripts/render_description_drift_history.py
python3 scripts/render_iteration_ledger.py
python3 tests/verify_description_optimization.py
python3 tests/verify_route_confusion.py
python3 tests/verify_failure_regressions.py
python3 scripts/cross_packager.py . --platform openai --platform claude --expectations evals/packaging_expectations.json --zip
python3 tests/verify_packager_failures.py

Regression scope now includes:

  • direct positives
  • direct negatives
  • near neighbors
  • long-context positives
  • mixed-intent negatives
  • explicit "do not build a skill" negatives
  • semantic exclusion cases such as one-off, document-only, and future-outline prompts
  • paraphrase families that avoid the original wording while preserving the same trigger intent
  • long-context contamination cases where build intent or no-build intent appears after unrelated setup text
  • family-based reporting across workflow-to-skill, iterate-existing-skill, document-only, one-off, and future-outline cases
  • holdout verification
  • description optimization reports that compare baseline, current, and optimized route wording across dev, holdout, blind holdout, and adversarial holdout gates
  • judge-backed blind-holdout verification that adds a rubric-based second opinion for blind prompts
  • calibration summaries that surface score gaps, threshold margins, and risk bands for each acceptance gate
  • family-level drift history that records which blind and adversarial families stay clean over time