data-management-plan

data-management-plan is a skill for Claude Code from pedrohcgs/claude-code-my-workflow. It costs 143 tokens per session (2,644 once invoked), scanned A, original, MIT.

A tool for drafting a funder-compliant Data Management Plan, the document explaining how research data will be handled during and after a project.

In plain words
What is it for?
Use it when preparing an NSF, NIH, ERC, or Horizon Europe proposal, especially when the project involves restricted or human-subjects data.
Why use it?
It gathers key requirements—such as data formats, storage, access, sharing, preservation, and responsibilities—into one funding-application document.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: reads .claude/ paths; positional $N argument.

Good fit Use it when preparing an NSF, NIH, ERC, or Horizon Europe proposal, especially when the project involves restricted or human-subjects data.

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Install with agentmods
npx agentmods add skills/pedrohcgs/claude-code-my-workflow/data-management-plan
About the project

claude-code-my-workflow is a forkable setup for using Claude Code to produce and review academic papers, slides, data analyses, and replication packages. Researchers use its agents, skills, rules, hooks, and quality checks to coordinate these tasks and verify their results. The catalogue entries define the reusable workflow components for Claude Code.

pedrohcgs/claude-code-my-workflow · 1,566 stars · on GitHub · psantanna.com

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add pedrohcgs/claude-code-my-workflow --skill data-management-plan
Clone the repo
git clone --depth 1 https://github.com/pedrohcgs/claude-code-my-workflow

Made for: Claude Code.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for data-management-plan

README.md
[![agentmods](https://agentmods.dev/badge/skills/pedrohcgs/claude-code-my-workflow/data-management-plan.svg)](https://agentmods.dev/skills/pedrohcgs/claude-code-my-workflow/data-management-plan)
Your own site
<a href="https://agentmods.dev/skills/pedrohcgs/claude-code-my-workflow/data-management-plan"><img src="https://agentmods.dev/badge/skills/pedrohcgs/claude-code-my-workflow/data-management-plan.svg" alt="Measured on agentmods" height="20"></a>
Per session 143 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,644 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00143 $0.02644
Opus 5 $0.00072 $0.01322
Sonnet 5 $0.00029 $0.00529
Haiku 4.5 $0.00014 $0.00264

Measured 7d ago against content hash a06dcce1dd80, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

data-management-plan scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/data-management-plan/SKILL.md · 126 lines

How it starts

The opening of the file, as written. The whole thing — 126 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/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 calls this skill for that section.
  • 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

  1. 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"

Read the full file on GitHub · 126 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 7d ago First seen · 126 lines · 143 tokens per session scan A a06dcce1dd80

Subscribe to this mod's changes

data-management-plan is a skill published in the GitHub repository pedrohcgs/claude-code-my-workflow (1,566 stars, last pushed 13d ago), licensed MIT. It adds 143 tokens to every session and 2,644 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.