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/data-management-plan — Funder-Compliant DMP Generator · pedrohcgs | DecimalAI

documentationby pedrohcgs

/data-management-plan — Funder-Compliant DMP Generator

pedrohcgs/data-management-plan

Source pedrohcgs/claude-code-my-workflow ↗License MIT

Draft a funder-compliant Data Management Plan (NSF DMP, NIH DMS Policy 2023, ERC, Horizon Europe) by composing the confidential-data and environment-capture primitives. Sections cover data description, formats/metadata, storage/backup, access/sharing, preservation/archiving, and roles.

SkillScore65Maintained

On-demandOn-demand: invoked explicitly — never occupies your agent's context until called.

Research pack

Last verified 8/27/2026

What it changes

Passed 12 of 18 test cases with the skill, and 4 of 18 without it.

Without skill22%

With skill65%

Checks it passed that the model alone missed

Writes the output file under the quality_reports/dmp/ directory.
Uses the --no-verify flag to bypass policy citation verification.
Designates the Principal Investigator as the primary data steward.

and 9 more in the full report

11 fixed4 passed either way7 still failing1 broke

Pass-rate lift: +43 pp
Tokens: +90%
Agent turns: 0%
Response time: -1%

Model gemini-3.6-flashMeasured 8/27/2026v2 · latest is v315 of 23 cases passed with skill · 18 comparable

Tokens, turns and time describe resource use, not a dollar price.

This benchmark measured an earlier version of the skill.

A newer attempt on gemini-3.6-flash on 10/2/2026 did not produce a publishable comparison (not comparable). The snapshot above is the previously measured run.

Use this skill

Save it into your project's skills folder. Claude Code picks it up in its next session.

curl -fsSL --create-dirs -o .claude/skills/pedrohcgs-data-management-plan/SKILL.md https://app.decimal.ai/s/pedrohcgs-data-management-plan/SKILL.md

Want it pinned and updatable? pip install "decimalai>=0.15", then decimalai skills add pedrohcgs-data-management-plan, and start Claude Code with claude --plugin-dir "$(git rev-parse --show-toplevel)/.agents"

1 · One-time — install the CLI (docs ↗)

pip install "decimalai>=0.15"

2 · Get the skill — writes .agents/skills/pedrohcgs-data-management-plan/ and pins it in .decimal/skills.lock

decimalai skills add pedrohcgs-data-management-plan

No CLI? Get the same file — curl · raw file

curl -fsSL --create-dirs -o .claude/skills/pedrohcgs-data-management-plan/SKILL.md https://app.decimal.ai/s/pedrohcgs-data-management-plan/SKILL.md

Raw file: /s/pedrohcgs-data-management-plan/SKILL.md ↗ · machine-readable summary at /s/pedrohcgs-data-management-plan.json ↗

Safety checks: 3 of 3 passed

Code scan CleanIntent PassedContent Clean

See it in action

One of 11 test cases the skill fixed. Same model, same prompt, with and without the skill.

1 of 11

Prompt

In Section 6 of the scaffolded plan draft, who is designated as the primary data steward for plan execution and succession?

What was checked, without and with the skill
Checked	Without skill	With skill
Designates the Principal Investigator as the primary data steward.	Missed	Passed

case-22 · gemini-3.6-flash · 8/27/2026 · answers are capped and redacted

What's inside

The instructions your model reads when the skill loads.

SKILL.md116 linessingle file

`/data-management-plan` — Funder-Compliant DMP Generator

Produce a Data Management Plan ready to paste into a funder portal. This skill writes the prose and structure; it does not submit anywhere. It is a composition skill — it folds the disclosure-avoidance / IRB rules from .claude/rules/confidential-data.md and the environment + replication-package plan from /capture-environment and /replication-package into a single funder-shaped document.

When to use

Writing a grant proposal. Every NSF, NIH, ERC, and Horizon Europe proposal needs a DMP (NSF), DMS Plan (NIH 2023 policy), or Data Management Plan (ERC/Horizon). /grant-proposal follows this skill for that section, through an Agent that reads this SKILL.md (the skill is user-invoked only, so it is followed, not invoked).
Before data collection on a funded project. The plan is a commitment you make at award time and report against at renewal.
When restricted or human-subjects data is involved. The access/sharing and preservation sections change materially — see Phase 2.

When NOT to use

For a clinical-trial data-sharing statement governed by ICMJE / ClinicalTrials.gov — use the trial sponsor's template.
As a substitute for IRB protocol text — the DMP references IRB constraints; it is not the protocol itself.

Inputs

$0 --funder nsf|nih|erc|horizon — target funder profile. If omitted, Phase 0 detects it from --input or asks once.
--input <path> — a research spec (/interview-me output under quality_reports/specs/), a grant draft, or a passport-adjacent description. The skill extracts data types, sample, and identification strategy from it.
--no-verify — skip the Phase 4 citation/standard post-flight (inherited from /preregister).

Workflow

Phase 0 — Detect funder + data sensitivity

Resolve the funder (--funder, else infer from --input, else ask once). Load its section schema:

Funder	Plan name	Required sections (abridged)
NSF	Data Management Plan (2 pp max)	data types · standards · access/sharing · re-use/redistribution · archiving
NIH	DMS Plan (2023 policy)	data type · tools/software · standards · preservation/access/timelines · access/distribution + reuse · oversight
ERC	DMP (Horizon Europe Annex)	FAIR per dataset · data summary · making data FAIR · resource allocation · security · ethics
Horizon Europe	DMP (DMP template)	same FAIR-first structure as ERC; open by default, "as open as possible, as closed as necessary"

Classify the data on three axes (drives Phases 2–3):
- Public (open survey, scraped public records, simulated) — minimal restrictions.
- Restricted (admin/tax/Census, proprietary, licensed under DUA) — access procedures dominate.
- Human-subjects (PII, biospecimen-linked, survey with identifiers) — IRB + disclosure avoidance dominate.
If the data is restricted or human-subjects, set sensitive = true and run Phase 2. If it is purely public, Phase 2 is a short paragraph.

Track record

Benchmark

12 / 18

test cases passed, vs 4 / 18 without

Adoption

Users: 0
Times used: 0

Safety and source details

SkillSafety

✓ 3 of 3 passed

Code scan15 of 15 checks clean

0 critical · 0 warning · 0 info — scanner v5 — 10/1/2026

View 15 scanner checks

live_secretremote_code_executionreverse_shelldata_exfiltrationssrf_metadataagent_snoopinganti_refusaldestructive_commandsobfuscated_unicodeunicode_homoglyphopaque_blobsuspicious_urltool_overreachtrigger_abuseprompt_injection_phrasing

IntentSafe

LLM judge · does the skill do what it claims

ContentClean

LLM judge · policy & harmful-content review

Source

Imported

pedrohcgs / claude-code-my-workflow

.claude/skills/data-management-plan/SKILL.md

View on GitHub ↗

License MITImported 10/1/2026Version v3

More skills from the same source and nearby in the registry, with their headline benchmark lift.