data-management-plan-creator

Automatically generate NIH 2023-compliant Data Management and Sharing Plan (DMSP) drafts following FAIR principles

Quality

52%

Does it follow best practices?

Impact

Pending

No eval scenarios have been run

Securityby

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./scientific-skills/Academic Writing/data-management-plan-creator/SKILL.md

Evaluation results

100%

50%

NIH Grant Data Management Plan for Genomics Study

CLI-based DMSP generation with domain-specific repositories

Criteria

Without context

With context

Uses scripts/main.py

100%

--project-title arg

100%

--pi-name arg

60%

100%

--institution arg

100%

--data-types arg

100%

Genomic repository

100%

Clinical repository

100%

Imaging repository

100%

All 6 NIH sections present

66%

100%

Executive summary present

100%

FAIR alignment section

100%

DOIs mentioned

100%

Without context: $0.2905 · 1m 33s · 17 turns · 24 in / 5,234 out tokens

With context: $0.3812 · 52s · 18 turns · 281 in / 2,708 out tokens

100%

30%

Automated Batch DMSP Generation for Research Portfolio

Module-based DMSP generation with all NIH sections

Criteria

Without context

With context

Imports DMSPCreator

66%

100%

Does not use subprocess

100%

Calls generate_plan()

50%

100%

Calls save_to_file()

50%

100%

proteomics DMSP all 6 sections

100%

neuroscience DMSP all 6 sections

100%

estimated_size_gb passed

62%

100%

Repositories passed

100%

FAIR section in outputs

100%

Executive summary in outputs

100%

No external dependencies

100%

Without context: $0.5466 · 2m 4s · 32 turns · 811 in / 7,260 out tokens

With context: $0.5189 · 1m 17s · 21 turns · 7,874 in / 4,082 out tokens

96%

16%

DMSP for Multi-Omics Metabolomics and Proteomics Study

Domain-specific metadata standards and FAIR alignment

Criteria

Without context

With context

Uses scripts/main.py

100%

Proteomic repository

100%

Metabolomic repository

100%

Proteomic metadata standard

100%

Metabolomic metadata standard

100%

50%

Access restrictions in DMSP

60%

100%

All 6 NIH sections

100%

FAIR alignment section

25%

100%

Standards rationale file

100%

DOIs referenced

100%

Without context: $0.7148 · 3m 26s · 31 turns · 38 in / 10,246 out tokens

With context: $0.5169 · 1m 38s · 18 turns · 7,870 in / 5,745 out tokens

Repository: aipoch/medical-research-skills
Commit: 4a48721

Evaluated: 17 days ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

NIH Grant Data Management Plan for Genomics Study Automated Batch DMSP Generation for Research Portfolio DMSP for Multi-Omics Metabolomics and Proteomics Study

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