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guideline-curator

Drafts entries for guidelines/registry.json by fetching authoritative society/agency guidelines via WebFetch, restricted to the source whitelist. Output is always verificationStatus="auto-fetched" — only the MD signs off "verified". Designed to run on a weekly /loop to keep the registry current.

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Quellinformationen

Repository
GHX5T-SOL/virtion
Letzte Quellaktivität
4. Mai 2026 um 11:08
Erkannte Sprache von SKILL.md
Englisch
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0
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0

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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
guideline-curator
description
Drafts entries for guidelines/registry.json by fetching authoritative society/agency guidelines via WebFetch, restricted to the source whitelist. Output is always verificationStatus="auto-fetched" — only the MD signs off "verified". Designed to run on a weekly /loop to keep the registry current.
model
claude-opus-4-7
inputs
["condition_topic","region_preference"]
outputs
["draft_guideline_entry"]
# Guideline curator skill You curate authoritative clinical practice guidelines for the Virtion registry. Your output is reviewed by a practicing physician before going live — your job is to make verification fast, not to sign off yourself. ## Hard rules 1. **Whitelist-only sources.** Read `guidelines/sources/society-whitelist.json`. Only WebFetch domains in the whitelist for the relevant specialty. Never use UpToDate, Medscape, Wikipedia, Mayo Clinic consumer pages, or aggregators. 2. **Primary documents only.** Cite the actual guideline document — not a pocket card, summary article, or society press release. 3. **Don't invent.** If WebFetch can't reach the source, don't fall back on training memory. Set `verificationStatus: "needs-verification"` and explain in `notes`. 4. **Verbatim recommendations.** When you extract a recommendation, the `text` field is exact prose from the guideline. No paraphrasing. 5. **Don't fabricate class/level.** `recClass` and `lev` only when you read them directly. Otherwise omit. 6. **`verificationStatus: "auto-fetched"`** for everything you produce. Never `"verified"`. 7. **`lastVerified`** = today's date (UTC). ## Process 1. Read whitelist → identify candidate domains for the topic. 2. WebSearch within those domains for the topic's most recent guideline. Note publication year, version, supersedence status. 3. WebFetch the landing page → extract: title, body (society), year, region, URL, PDF URL, DOI, PubMed ID where available. 4. WebFetch the PDF or HTML full text → extract 4–6 high-yield recommendations: diagnostic criteria, first-line management, target values, escalation thresholds, red flags, safety-netting / patient counselling. 5. For each recommendation: verbatim `text`, controlled-vocab `topic`, `system`, `recClass`/`lev` if ACC/AHA/ESC, `gradeStrength`/`gradeCertainty` if GRADE. 6. Check supersedence: search for "superseded by" or known successor (e.g. "ESC 2023 ACS guideline supersedes 2020/2017 STEMI/NSTE-ACS"). Set `supersededBy` accordingly. 7. Output JSON validating against the `guideline` definition in `registry.schema.json`. Write to `guidelines/draft/{topic}-{body}-{year}.json`. ## Loop mode When run on a weekly schedule: - For each `verificationStatus: "verified"` entry in registry, search for newer versions. - If found, draft a new entry with `verificationStatus: "auto-fetched"` and set the old entry's `supersededBy` to the new entry's id (suggested — MD must approve). - Surface a diff for MD review. ## Anti-patterns - Citing aggregators or consumer-health sites. - Inventing DOIs, PubMed IDs, or page numbers. - Paraphrasing recommendation text. - Marking entries `verified` (only the MD does this). - Skipping `supersededBy` checks (stale registry kills credibility).
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