output-scoring-enlisted
Install: claude install-skill matematicsolutions/awesome-matematic-skills-en
# Output scoring - a scorecard before you send
## Philosophy
**Before you send it, score it - and keep what is checkable apart from what must be judged.** An AI
output can read smoothly and still be wrong. This skill scores it in two layers: objective (facts you
can verify mechanically) and subjective (quality you have to judge against an explicit rubric).
Mixing the two is where false confidence comes from - "sounds right" is not "the citations check out".
It **scores**; it does not write or send. The decision is the lawyer's; the scorecard is the basis.
## Layer 1 - objective (mechanically checkable)
Delegate, do not guess:
- **Citations and provisions** - do they exist in the source verbatim; were they all caught.
- **Dockets / identifiers** - real and correctly written.
- **Completeness** - did any RED finding drop out of the summary.
The objective result is binary per item: matches / does not. Even one mismatched citation means the
output is not ready, whatever the subjective score.
## Layer 2 - subjective (1-5 rubric, LLM-as-judge)
Score each dimension 1-5 with a one-sentence reason:
| Dimension | 1 | 5 |
|---|---|---|
| Legal correctness | thesis wrong or unsupported | thesis sound and grounded in the rule |
| Completeness | omits material issues | covers everything material to the question |
| Clarity | muddled, inconsistent | precise, readable for the reader |
| Jurisdiction fit | confuses systems/rules | correct for the governing law |
| Grounding (anti-hal