LabaliciousAI & QA ACADEMY
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Optional private review consistency checker

The rubric requires human observations. This small local tool makes their aggregation deterministic: it rejects missing/duplicate/unknown criteria, unsupported versions, malformed records and unsupported states, then reports readiness. It cannot validate that evidence is true or sufficient, inspect the product, determine authorship or issue either award. Anyone can type false inputs; this is not a credential-verification system.

Use the Markdown evidence worksheet if you do not want JSON. The exact same decision rules apply; the tool is optional instructor administration, not another learner deliverable. Review records and outputs remain private.

Run locally — Mac, Linux and Windows

From your trusted course checkout with Node.js 22 or newer, use the same command on all platforms. Replace the placeholder with a quoted path to an approved private JSON file outside the public repository:

node scripts/aiqaa-decision.mjs "PATH_TO_PRIVATE_REVIEW.json"

Do not run a copy supplied by a student. The trusted script reads only the supplied JSON and the course's criterion-ID file. It does not execute student code, fetch links, call models, contact GitHub, save a record or issue certificates. It prints a limited readiness summary; still treat that summary as a private learner decision record.

Record format

The abbreviated example is intentionally invalid until all 21 actual observations are recorded. Do not fill missing rows with invented passes. A valid JSON record needs:

{
  "schemaVersion": 1,
  "criteriaVersion": "AIQAA-1.0",
  "releaseSha": "FULL_40_CHARACTER_RELEASE_COMMIT",
  "coursework": "complete",
  "presentationReviewed": false,
  "agreement": {
    "version": "project-v1",
    "sha": "FULL_40_CHARACTER_AGREEMENT_COMMIT",
    "approved": false,
    "applicabilityConfirmed": false
  },
  "holds": [],
  "results": [
    {
      "id": "P1",
      "status": "unverified",
      "evidence": [],
      "rationale": "The release cases have not been inspected yet."
    }
  ]
}

Interpret the result

Readiness Deterministic rule / action
invalid_record Structural/version/field error; fix the record. No competency conclusion is made.
review_pending Open hold, unverified row/coursework, unapproved or unconfirmed agreement, or presentation not reviewed. Resolve the listed items; any known failed rows are still listed.
not_yet_demonstrated No pending items, but at least one not-yet row or outstanding coursework. Give specific next steps.
eligible_for_jared_decision Coursework complete, all 21 demonstrated, agreement confirmed, presentation reviewed and no holds. Jared still makes and records the award decision.

Every result contains awardIssued: false. Exit code 0 means the record was processed, including pending and not-yet results; it never means the learner passed. Exit code 2 means a usage, parsing or validation error. Do not wire this tool into public PR checks, a badge issuer or automatic certificate emails.

Regression checks run with npm run test:assessment and as part of npm test. They test the calculator using fictional records; they are not student tests. The rubric, agreement ID map and registry are checked for synchronization. The script does not audit grading quality or replace reviewer calibration.

Record the trusted course/checker commit with the private review. This implementation supports AIQAA-1.0 only. For a future standard, retain its published rubric and corresponding trusted checker revision; rerun an old review with the original version rather than relabeling its evidence to make a newer tool accept it.

© 2026 Jared Cluff.