Adoption scorecard

This scorecard gives one compact maturity snapshot from existing governance artifacts.

v2 model (weighted + graded)

Scorecard v2 keeps backward-compatible top-level fields (score, band, dimensions) and adds graded/weighted details:

• onboarding: artifact freshness + canonical pass signal
• release: current release gate + trend over N runs
• ops: legacy density + reduction trend vs baseline
• quality: canonical drift guard + test signal

dimensions remains a legacy compatibility view (0..25). graded_dimensions is the v2 score (0..100) per dimension with explicit weights.

Generate scorecard

python scripts/adoption_scorecard.py --format json

Validate v2 contract:

python scripts/check_adoption_scorecard_v2_contract.py --format json

Default inputs:

• .sdetkit/out/golden-path-health.json
• .sdetkit/out/canonical-path-drift.json
• .sdetkit/out/legacy-command-analyzer.json

Optional trend/signal inputs:

• --release-history <json> with {"series": [...]} scores
• --legacy-baseline <json> previous legacy analyzer output
• --test-signal <json> with pass_rate (0..1 or 0..100)

Default output:

• .sdetkit/out/adoption-scorecard.json

Output contract (v2)

• schema_version
• score
• band (early, developing, strong, excellent)
• dimensions (onboarding, quality, release, ops) compatibility view (0..25)
• graded_dimensions (onboarding, quality, release, ops) v2 graded view (0..100)
• weights normalized weighting map
• signals per-dimension input signal breakdown