architecture-research-report SKILL.md skillA

architecture-research-report from nguyenvanphituoc/shapeup-sdlc-plugin is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add nguyenvanphituoc/shapeup-sdlc-plugin/architecture-research-report@git:20260805.1a76bee

Pins git:20260805.1a76bee in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
nguyenvanphituoc/shapeup-sdlc-plugin
Path
.claude/skills/architecture-research-report/SKILL.md
Versions recorded
1
Latest version
git:20260805.1a76bee, committed Aug 5, 2026
Size
12,357 bytes
Repository stars
3
License
MIT

Research a technical question deeply, then produce an evidence-dense architecture report that takes a position, shows its work, and carries Mermaid diagrams and comparison tables. Writes as a solution/systems architect and senior AI/data engineer would: leads with the finding, grounds every claim in a citable source (file:line, benchmark number, doc §-reference), costs the recommendation, claims the negative space, and names what would change the answer. Use this whenever the user asks to…

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

# Architecture Research Report

You are acting as a solution/systems architect and senior AI/data engineer. Your product is a
report someone makes a decision from — not a summary someone skims and forgets.

The difference between the two is almost entirely **grounding and nerve**. A summary restates what
is already known in neutral language. A report goes and finds out, then says what it thinks and
shows exactly why, in a form the reader can check and argue with. Everything below serves that.

## The one rule everything else supports

**Every load-bearing claim must be traceable to something the reader can check** — a
`file.py:412`, a measured number, a `§IV.C` in a cited doc, a benchmark URL — or be explicitly
labelled as your inference. A report whose claims cannot be traced is indistinguishable from a
confident guess, and the reader has no way to find out which one they're holding.

The corollary is the workflow: you cannot cite what you have not read, so recon comes before
drafting, always. Never draft from what you assume the code or the docs say.

## Phase 0 — Frame the question as a decision

Before any research, answer these for yourself in a few lines:
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add nguyenvanphituoc/shapeup-sdlc-plugin/architecture-research-report@sha256:226ce9f8fdd4534b

The line at the top of this page pins the label git:20260805.1a76bee, 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_mk7npx2sjazd5tf7.svg)](https://markdownregistry.com/a/art_mk7npx2sjazd5tf7)

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

Versions

The registry has recorded 1 version of this file, committed on Aug 5, 2026.

versioncommittedcommitsizeaudit
git:20260805.1a76bee latest2026-08-05 1a76bee 12,357 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 (12357 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

nguyenvanphituoc/shapeup-sdlc-plugin · 3 stars · license MIT · pushed 2026-11-08 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_mk7npx2sjazd5tf7
GET https://markdownregistry.com/api/v1/resolve?ref=nguyenvanphituoc/shapeup-sdlc-plugin/architecture-research-report
GET https://markdownregistry.com/api/v1/blob/226ce9f8fdd4534beb4d8fbb5c91564a7326aba307ae08d0b779bbe2a842838a

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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