architecture-deepening SKILL.md skillA

architecture-deepening from notque/vexjoy-agent is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add notque/vexjoy-agent/architecture-deepening@v1.2.0

Pins v1.2.0 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
notque/vexjoy-agent
Path
skills/research/architecture-deepening/SKILL.md
Versions recorded
4
Latest version
v1.2.0, committed Sep 19, 2026
First version recorded
May 6, 2026
Size
13,224 bytes
Repository stars
446
License
MIT

Improve architecture across modules by deepening interfaces.

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 Deepening

Find shallow modules and propose deepening opportunities. Not a code review -- does not find bugs or style violations. Finds modules where the interface is too close to the implementation, where users must understand internals to use the API, and where small interface changes would absorb disproportionate complexity.

**When to use**: After codebase onboarding or review when improvement was requested, before a cross-module feature, after a fix exposes a missing test seam, or when callers repeatedly need source knowledge or multi-module coordination.

**Differs from full-repo-review**: Full-repo-review finds defects. This skill finds structural improvement opportunities. Pair well: run full-repo-review first to fix defects, then architecture-deepening to raise the bar.

---

## Deep References

Load on demand when working in the named phase.

| Phase | Reference | Content |
|-------|-----------|---------|
| Phase 1 | `references/maintenance-lifecycle.md` | Entry rules, recent-change scope, decision memory, candidate schema, typed handoff |
| Phase 1 | `references/vocabulary.md` | Shared vocabulary: module, depth, seam, leverage, locality, deletion test |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add notque/vexjoy-agent/architecture-deepening@sha256:94fefa4558efc79f

The line at the top of this page pins the label v1.2.0, 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_5l5p2s2j3sl7yxo7.svg)](https://markdownregistry.com/a/art_5l5p2s2j3sl7yxo7)

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

Versions

The registry has recorded 4 versions of this file, between May 6, 2026 and Sep 19, 2026, about one every 45 days.

versioncommittedcommitsizeaudit
v1.2.0 latest2026-09-19 28d30f9 13,224 BA view · diff
v1.2.02026-08-11 80e7fd7 13,400 BA view · diff
git:20260528.1c1c75f2026-05-28 1c1c75f 8,169 BA view · diff
git:20260506.9709a7a2026-05-06 9709a7a 7,917 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 (13224 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

notque/vexjoy-agent · 446 stars · license MIT · pushed 2026-11-03 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_5l5p2s2j3sl7yxo7
GET https://markdownregistry.com/api/v1/resolve?ref=notque/vexjoy-agent/architecture-deepening
GET https://markdownregistry.com/api/v1/blob/94fefa4558efc79f8cb465d6a8ae7859b6cb84e59a0f68c072419c01bdcf015f

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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