design-science-methodology SKILL.md skillA

This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.

design-science-methodology from khaledsaeed18/dotclaude is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add khaledsaeed18/dotclaude/design-science-methodology@git:20260921.c8f5dc3

Pins git:20260921.c8f5dc3 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
khaledsaeed18/dotclaude
Path
skills/academic/design-science-methodology/SKILL.md
Versions recorded
1
Latest version
git:20260921.c8f5dc3, committed Sep 21, 2026
Size
5,278 bytes
Repository stars
5
License
MIT

Structure a thesis whose contribution is a built artifact (tool, system, method, model) using design science research: explicit problem and requirements, knowledge base, iterative build with design decisions recorded, and a rigorous evaluation strategy (technical benchmarks, controlled use, case study, expert review) that separates whether it works from whether it helps, following Hevner's guidelines and Peffers' process. Use when the thesis builds something, when a supervisor says a system…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

Building a system is engineering; showing what is learned from building it is research. Design science research (DSR) is the frame that turns the first into the second: an artifact designed to solve a stated problem, evaluated with rigour, and a contribution to knowledge stated separately from the artifact itself.

## The process (Peffers et al.)

1. **Problem identification and motivation**: the problem, who has it, why existing solutions fall short (from `lit-review-synthesis`), and why solving it matters. Concrete and, where possible, quantified.
2. **Objectives of the solution**: requirements the artifact must meet, derived from the problem and the literature. Functional (must do X) and quality (latency under Y, usable by Z without training). Each requirement is later a row in the evaluation table. Number them (R1..Rn).
3. **Design and development**: the artifact, with its design decisions recorded as they are made (`adr-writing` works for this) and the knowledge they draw on (which theories, patterns, prior systems). The thesis describes architecture and the decisions, not every line.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add khaledsaeed18/dotclaude/design-science-methodology@sha256:e043d827e9505846

The line at the top of this page pins the label git:20260921.c8f5dc3, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_rsxcsrmteq6nawj6.svg)](https://markdownregistry.com/a/art_rsxcsrmteq6nawj6)

3 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Sep 21, 2026.

versioncommittedcommitsizeaudit
git:20260921.c8f5dc3 latest2026-09-21 c8f5dc3 5,278 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (5278 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

khaledsaeed18/dotclaude · 5 stars · license MIT · pushed 2026-11-05 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_rsxcsrmteq6nawj6
GET https://markdownregistry.com/api/v1/resolve?ref=khaledsaeed18/dotclaude/design-science-methodology
GET https://markdownregistry.com/api/v1/blob/e043d827e9505846935f24045becd3bb738faf3441c7c3affb8abfca1f76b730

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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Every file in khaledsaeed18/dotclaude

Other files named design-science-methodology

design-science-methodology SKILL.md skill
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