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Align

Skill opendatadiscovery/odd-team/.claude/skills/align

Compute the cross-corpus ALIGNMENT scorecard — a deterministic, no-LLM roll-up that scores how well the ontology bridges CODE ↔ DOC ↔ ADR ↔ TEST bi-directionally, surfaces the Test-Traceability Ledger (no orphan tests; every test gates an ontology relationship), and emits a Contract-Test Readiness verdict + ranked actionable items + a trend series. Run it as a periodic heartbeat to see what blocks moving forward to contract tests. Writes lineage/{repo}/alignment-scorecard.{md,yaml}.From its SKILL.md

Install
npx -y skills add opendatadiscovery/odd-team --skill align

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SKILL.md

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Alignment scorecard (/align)

The cross-corpus consistency dashboard. A deterministic roll-up — no LLM, no subagents in default mode — over the already-derived ontology + ground-truth anchors. It answers the maintainer's standing question:

What is the level of alignment between documentation, ADRs, the codebase, and the tests — and what blocks us from building the contract tests that pin doc-claims to implementation?

It does not re-derive anything (that's what /enrich, /concepts, /find-implicit-adrs, /doc-gap-check, /test-coverage, /reflect-feature produce). It joins those outputs + the graph, computes bi-directional coverage ratios, and scores them. The expensive agentic re-verification is the separate --deep mode (phase 2).

What it measures (5 dimensions)

DimQuestion
A Ontology ↔ Codeis the ontology a fresh, faithful mirror of code? (substrate freshness, enrichment, axis integrity)
B Ontology ↔ Doc (bi-dir)if docs claim it, does code exist? (DESCRIBES→code resolution) · if implemented, is it documented? (features with inbound DESCRIBES) · open DocGaps · doc drift
C Ontology ↔ ADRpublished ADRs ingested · REALISES code links · candidate disposition
D Test-Traceability Ledgerno orphan tests (every test/gap carries a typed gate) · ADRs enforced · features validated · bugs/scopes regress-guarded · probe execution + named-integration stacks
E Trust meta-gategraph freshness · embeddings on? · latest /panel verdict · reflection coverage (the discount on every alignment claim)

The honesty rule (hard-coded): every alignment metric is reported as aligned / checked / total. A low contradiction count is rendered as "UNKNOWN over N%", never "aligned" — because the layer that proves alignment (feature-reflection) has run on <1% of features. The score cannot hide a blind spot. The top line is a Contract-Test Readiness verdict (NOT-READY / PILOT-READY / READY) + explicit blockers + the ready-now subset (what is fully bridged and contract-testable today).

The Test-Traceability Ledger implements feedback_tests_as_deterministic_gates: a test is never a free-floating item — it enforces→ADR / validates→Feature / regresses→Finding-Issue / guards→RefactoringScope, checked bidirectionally (every test has a gate; every test-worthy subject has a test or a gated gap).

Argument forms

FormBehaviour
/align [<repo>]Default (repo defaults to odd-platform). Compute the scorecard from the canonical files NOW (fresh load_substrate + project, independent of the last graph-build), write alignment-scorecard.{md,yaml} (the .yaml appends one trend row), print the summary + the top action. Cheap + idempotent — the periodic heartbeat.
/align --show [<repo>]Read-only. Print the existing lineage/{repo}/alignment-scorecard.md (no recompute).
/align --json [<repo>]Emit the machine payload (the written YAML) to stdout for downstream tooling.
/align --deep [<repo>]Phase 2 — not yet built. The agentic contract audit: fan out subagents to sample-verify the cheap signals — re-fire reflect-feature on the highest-value un-reflected features, sample Doc→Code claims for live verification, drift-check each ADR's REALISES. Each finding logged as a gated TestGap via playbooks/follow-up-on-disk.md. Until built, the skill says so and runs the default mode.

Procedure (default mode)

  1. Run uv run --project lineage/_extractor lineage-extractor alignment <repo> (deterministic; ~15 s; reads the canonical files + the built graph's build-info.yaml + git HEAD + the published ADR pages + the probe corpus).
  2. Read back lineage/{repo}/alignment-scorecard.md and relay to the maintainer: the readiness verdict, the blockers, the per-dimension grades, the ready-now subset, and the top 3 actionable items.
  3. If any dimension is RED for a new reason vs the prior trend row, call it out as a regression. The trend series is the periodic-monitoring surface.

When to run

  • Per sprint checkpoint / milestone — alongside /panel (which audits the methodology; /align audits the ontology's fidelity — complementary, and /align consumes the latest /panel verdict in its trust gate).
  • After a batch of /enrich + reducers — to see whether coverage moved the alignment numbers.
  • Before starting contract-test work — the readiness verdict + ready-now subset tell you exactly where to aim, and the actionable items name the blockers (Phase-4 Test layer, reflection coverage, ADR re-ingest, etc.).

On-demand only — no daemon, no schedule (APPROACH.md Rule 12; local-only).

Outputs

  • lineage/{repo}/alignment-scorecard.md — human, diffable, committed.
  • lineage/{repo}/alignment-scorecard.yaml — machine metrics + trend: series (last 50 runs), committed.

Cross-references

  • lineage/_extractor/src/lineage_extractor/alignment.py — the implementation.
  • feedback_tests_as_deterministic_gates (memory) — the Ledger's spine.
  • adrs/drafts/ground-truth-lineage.md — Phase 4 (the Test layer the readiness verdict gates on).
  • lineage/GRAPH-TOPOLOGY.md — the labels + edges rolled up here.
  • /panel — the complementary methodology meta-review.

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

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