dmp

dmp is a command for Claude Code from Abhinavbwj/AEC-Scholar. It costs 18 tokens per session (469 once invoked), scanned A, original, MIT.

A command for writing a FAIR Data Management Plan, a document explaining how research data will be collected, documented, protected, shared, and preserved. It is designed for architecture, engineering, and construction studies or grants.

In plain words
What is it for?
Use it to plan the handling of sensor data, surveys, BIM or IFC models, simulations, point clouds, images, and other AEC research data.
Why use it?
It helps researchers address data organisation, reuse, security, privacy, intellectual property, ethics, and long-term access in one plan.

Command for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the aec-scholar plugin — 11 skills, 36 commands, 10 agents, 1 hook shipped together

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.

agentmods
npx agentmods add commands/abhinavbwj/aec-scholar/dmp
Clone the repo
git clone --depth 1 https://github.com/Abhinavbwj/AEC-Scholar

Made for: Claude Code.

Or install aec-scholar, the plugin that ships this one along with the rest of its 11 skills, 36 commands, 10 agents, 1 hook.

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 dmp

README.md
[![agentmods](https://agentmods.dev/badge/commands/abhinavbwj/aec-scholar/dmp.svg)](https://agentmods.dev/commands/abhinavbwj/aec-scholar/dmp)
Your own site
<a href="https://agentmods.dev/commands/abhinavbwj/aec-scholar/dmp"><img src="https://agentmods.dev/badge/commands/abhinavbwj/aec-scholar/dmp.svg" alt="Measured on agentmods" height="20"></a>
Per session 18 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 469 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00018 $0.00469
Opus 5 $0.00009 $0.00234
Sonnet 5 $0.00004 $0.00094
Haiku 4.5 $0.00002 $0.00047

Measured 6d ago against content hash 7118e8dc37ec, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

dmp 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 6d 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.

aec-scholar/commands/dmp.md · 38 lines

What it actually says

Draft a Data Management Plan for: $ARGUMENTS

Use the open-science-reproducibility and research-ethics-integrity skills (and aec-datasets-tools).

Produce a structured DMP covering:

  1. Data summary — what data will be collected/generated (e.g. building-monitoring sensor data, survey responses, BIM/IFC models, simulation inputs/outputs, point clouds, images), formats, expected volume, and whether reused data are involved.

  2. FAIR & documentation — metadata standards and documentation (data dictionary, README), identifiers (DOIs), and standard/open formats and vocabularies (e.g. IFC, CityGML, documented CSV) for interoperability.

  3. Storage & security (active phase) — where data live, backup, access control, and security for sensitive data (site, personal, commercial).

  4. Legal & ethical — consent, GDPR/data protection, IP and confidentiality (construction cost/ contract/owner data, worker video/wearables), and any NDAs. Note what this allows to be shared.

  5. Sharing & preservation — what will be shared, when, where (repository with a DOI — Zenodo/OSF/ Figshare/Dataverse), under which license, and long-term preservation. Justify any restricted data ("controlled access because…") rather than defaulting to "on request".

  6. Responsibilities & resources — who manages the data and any costs.

  7. Data/code availability statement — draft the statement for the eventual paper.

If a funder is named, align the structure to its DMP template (Horizon Europe / UKRI / NSF) and mention tools (DMPonline/DMPTool/Argos) — and tell the user to verify the funder's current template. Keep every commitment honest: don't promise to share data that consent/IP/confidentiality won't allow.

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. 6d ago First seen · 38 lines · 18 tokens per session scan A 7118e8dc37ec

Subscribe to this mod's changes

dmp is a command published in the GitHub repository Abhinavbwj/AEC-Scholar (18 stars, last pushed 2mo ago), licensed MIT. It adds 18 tokens to every session and 469 once invoked, about $0.0001 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.