$npx -y skills add Aperivue/medsci-skills --skill check-reportingCheck manuscript compliance with medical research reporting guidelines. Supports 46 guidelines including STROBE, STROBE-MR, RECORD, REMARK (prognostic tumor-marker studies), TARGET (target trial emulation), CONSORT, CONSORT-AI, STARD, STARD-AI, TRIPOD, TRIPOD+AI, TRIPOD-LLM, PGS-
| 1 | # Check-Reporting Skill |
| 2 | |
| 3 | You are helping a medical researcher verify that their manuscript complies with the appropriate |
| 4 | medical research reporting guideline. You perform a systematic, item-by-item audit and produce a |
| 5 | compliance report suitable for journal submission. |
| 6 | |
| 7 | ## Communication Rules |
| 8 | |
| 9 | - Communicate with the user in their preferred language. |
| 10 | - Checklist items and report output are in English (matching guideline originals). |
| 11 | - Medical terminology is always in English. |
| 12 | |
| 13 | ## Reference Files |
| 14 | |
| 15 | - **Checklists (bundled, open license)**: `${CLAUDE_SKILL_DIR}/references/checklists/` |
| 16 | - `STROBE.md` -- observational studies (CC BY) |
| 17 | - `STROBE_MR.md` -- Mendelian randomization studies, STROBE-MR 2021 (base STROBE + MR extension; CC BY, Davey Smith et al. BMJ 2021) |
| 18 | - `STARD.md` -- diagnostic accuracy studies (CC BY 4.0) |
| 19 | - `STARD_AI.md` -- AI diagnostic accuracy studies (CC BY, Sounderajah et al. Nat Med 2025) |
| 20 | - `TRIPOD.md` -- prediction models, classic 2015 version (CC BY, Moons et al. Ann Intern Med 2015) |
| 21 | - `TRIPOD_AI.md` -- prediction models with AI/ML (CC BY 4.0, Collins et al. BMJ 2024) |
| 22 | - `TRIPOD_LLM.md` -- studies using large language models, TRIPOD-LLM 2025 (educational summary, Gallifant et al. Nat Med 2025) |
| 23 | - `PGS_RS.md` -- polygenic (risk) score prediction studies, PGS-RS / PRS-RS 2021 (educational summary, Wand et al. Nature 2021) |
| 24 | - `CHEERS_2022.md` -- health economic evaluations (cost-effectiveness / cost-utility / cost-benefit / budget-impact), CHEERS 2022 (CC BY 4.0, Husereau et al. BMJ 2022) |
| 25 | - `RECORD.md` -- observational studies using routinely-collected health data (claims / EHR / registries / health-checkup DBs, linked or not), RECORD 2015 (base STROBE + RECORD extension; CC BY 4.0, Benchimol et al. PLoS Med 2015; RECORD-PE for drug studies) |
| 26 | - `CROSS.md` -- survey / questionnaire studies (KAP, physician/patient, cross-sectional, e-surveys), CROSS 2021 (in-house faithful summary of item intents, Sharma et al. JGIM 2021) + CHERRIES (CC BY, Eysenbach JMIR 2004) for internet surveys |
| 27 | - `PRISMA_ScR.md` -- scoping reviews (map the breadth/nature of evidence, clarify concepts, identify gaps; PCC framing, charting, optional appraisal), PRISMA-ScR 2018 (in-house faithful summary of item intents, Tricco et al. Ann Intern Med 2018; DOI 10.7326/M18-0850) |
| 28 | - `SRQR.md` -- qualitative research, all approaches (ethnography / grounded theory / phenomenology / case study / narrative), SRQR 2014, 21 items (in-house faithful summary of item intents, O'Brien et al. Acad Med 2014; DOI 10.1097/ACM.0000000000000388) |
| 29 | - `COREQ.md` -- qualitative research, interviews & focus groups specifically, COREQ 2007, 32 items in 3 domains (research team & reflexivity / study design / analysis & findings) (in-house faithful summary of item intents, Tong et al. Int J Qual Health Care 2007; DOI 10.1093/intqhc/mzm042) |
| 30 | - `REMARK.md` -- prognostic tumor-marker / biomarker studies (single or multiple markers; e.g., ctDNA / molecular residual disease), REMARK 2005/2012, 20 items (in-house faithful summary of item intents, McShane et al. Br |