# Iterate From Skore

> Source the next ML experiment proposal by reading the audit digest at scratch/audit/<stem/audit.md (produced by audit-ml-pipeline at § 4 record-outcome). For every row in the digest's Checks summary whose severity is issue or tip, follow the row's documentationurl to draft a Backlog row whose Item is the mitigation the docs recommend. The Metrics summary provides context for the human summary paragraph but does not drive Backlog rows on its own. Returns the enriched Backlog rows + a one-paragraph summary back to iterate-ml-experiment, which writes the rows into JOURNAL.md and re-presents the sourcing menu so the user can promote a B<N row. Stops at "Backlog enriched, summary returned"; never writes a per-experiment design note, never picks the "winning" finding — the user picks via B<N. TRIGGER when: iterate-ml-experiment is picking a sourcing strategy and the user picks skore from the menu; the user says "mine the report", "what does skore see?", "fill the backlog from the diagnostic"; the previous experiment has finished and the user wants the report converted into actionable backlog items. SKIP when: the previous experiment hasn't run yet (no audit digest on disk); the user has a concrete modelling idea (use iterate-from-user); the task is the mechanics of running / opening a report — route to evaluate-ml-pipeline; the user wants a narrative read of one specific section of the report (route to evaluate-ml-pipeline). HOW TO USE: read the existing scratch/audit/<stem/audit.md digest as text — do NOT re-open the skore Project, do NOT call report. accessors. For each row in the Checks summary section whose severity is issue or tip, follow the documentationurl (via WebFetch) and draft one Backlog row citing audit:<stem:checks.<code. Dedupe against rows already in JOURNAL.md Backlog by source citation. Return the candidate rows + a one-paragraph human summary. The parent skill writes the rows to JOURNAL.md and re-shows the sourcing menu.

## Facts
- Page: https://tashan.sh/capability/skill-probabl-ai-iterate-from-skore
- tashan id: skill:probabl-ai/iterate-from-skore
- Source: https://github.com/probabl-ai/skills
- Type: skill
- Category: other
- tashan score: not scored (catalogued only — too little public evidence)
- Adoption: 9.0
- Upkeep: 97.0
- Freshness: 94.0
- Evidence coverage: 84% of the inputs this score can use
- Health: active
- Instruction depth: not yet graded
- License: BSD-3-Clause
- Official: no

## Install

```sh
cp -r iterate-from-skore ~/.claude/skills/
```

## Security audit
Not scanned. We audit npm-published capabilities; this one has no npm package we can resolve, or has not reached the queue. This is not a clean bill of health.

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Measured 2026-08-14 by tashan (https://tashan.sh) from public evidence. Scorer s5.