Implementations of the open standards.
External tools, courses, papers, and mentions that implement or cite any of our three CC BY 4.0 open standards: the Lyric Scoring Standard, the Banned Clichés List, or the What We Refuse To Build standard. Public registry, verifiable links, honest count.
What we track
- Lyric Scoring Standard v1.2.0 — the 12-metric rubric.
- Banned Clichés List — the AI-default phrases filtered from every lyric.
- What We Refuse To Build — the four structural product refusals.
All three are published under CC BY 4.0 — citation by name + version is the only requirement. If you’re using any of them and you’re not on this page, email us.
Known implementations
0 verifiedZero external implementations on record — yet. The standard shipped on npm at @songforgeai/scoring-rubric@1.2.0 in April 2026. We track honestly: every adoption signal lands here within 24 hours of verification, not before.
Be the first external implementer.
The fastest path: install the npm package, run a scoring pass against any lyric, ship a public artifact (blog post, repo, paper, course module) that cites the standard by name + version. Email us the link; we add it to this page within 24h.
$ npm install @songforgeai/scoring-rubricEmail us your project →Three cite-as templates — pick the one that fits your medium.
Drop one of these into your tool’s docs, your paper’s references, or your course syllabus. Verbatim citation under CC BY 4.0 is the full attribution requirement.
“Scored against the Lyric Scoring Standard v1.2.0 (SongForgeAI, 2026), CC BY 4.0.”
[Lyric Scoring Standard v1.2.0](https://songforgeai.com/scoring/standard) — SongForgeAI, 2026, CC BY 4.0.
@techreport{nigro2026lyricscoringstandard,
title = {The Lyric Scoring Standard},
author = {Nigro, Todd},
institution = {SongForgeAI},
year = {2026},
month = {April},
number = {v1.2.0},
url = {https://songforgeai.com/scoring/standard},
note = {Licensed under CC BY 4.0}
}What counts as an entry.
Anything verifiable by a public link works. The spirit of the registry is honesty over volume — we document real implementations, not announcements.
- •Tool: a product (commercial or open-source) that imports the npm package and scores lyrics against the rubric.
- •Paper: an academic paper (any venue) that cites the whitepaper or evaluates against the rubric.
- •Course: a music or songwriting course that uses the rubric as a teaching artifact.
- •Mention: a substantive citation in a public blog post, podcast, or industry artifact (not a passing reference).
No gatekeeping. We verify in 5 minutes; once verified, your entry lives here under your name with the link you provided.
Internal references
7 surfacesWhere the standard lives + is referenced within the codebase + content. These are NOT external adoption signals — the count above stays honest about that. They prove the rubric is real + load-bearing internally; visitors evaluating "is this a serious standard?" get both axes.
The published npm package — rubric JSON + scoreToGrade / scoreToPercentileLabel / computeComposite / isCompatibleRubricVersion helpers. CC BY 4.0 / MIT helpers.
- Lyric Scoring Standard whitepaperWhitepaper
Long-form whitepaper covering the 12 metric definitions, weighting math (Craft 25 / Expression 40 / Impact 35), the four anti-inflation rules, and calibration anchors against the canonical 1949 country song.
Every API response embeds rubricVersion + model id + temperature + buildSha + build number, signed via ed25519. Implementers can pin which exact rubric version produced any given score.
- Calibration corpus v1Corpus
Open hand-scored reference corpus with composite + per-tier breakdowns, F-band and S-band anchors, and full rationale per entry. Cited from the standard as the calibration ground truth.
Long-form essay on why "I'm So Lonesome I Could Cry" is the canonical 95-point anchor and what that calibration choice forces the rubric to be honest about.
Launch post for the standard: motivation, the four anti-inflation rules, what citation under CC BY 4.0 means in practice.
Defends the Gravity Rule (score-anchoring at the population mean) against the LLM-default impulse to score everything 70-90.
How to cite
The Lyric Scoring Standard is published under CC BY 4.0. Citation by name + version is the only requirement.
How to implement
The npm package ships the rubric JSON + four helper functions (scoreToGrade, scoreToPercentileLabel, computeComposite, isCompatibleRubricVersion). Zero runtime dependencies; works in Node ≥ 18 and modern browsers.
Why this page exists
Standards win when adopted, not when published. The cited-by surface is the public ledger of adoption — every entry is a verifiable, dated proof point that someone outside SongForgeAI implemented or referenced the rubric.
Today the count is zero. The page still exists, because radical transparency about adoption beats marketing language about momentum. When the count grows, this page grows with it. When it doesn’t, the absence is documented.
The same discipline applies to the cadence rituals on the engineering side (Quality Council every 3 days, Trust Decay Audit every 14 days, Bet Review every 45 days). External proof works the same way: accumulated, dated, never deleted.