coupling-analysis SKILL.md skillA

coupling-analysis from amey-thakur/ai-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add amey-thakur/ai-skills/coupling-analysis@git:20260720.67d6135

Pins git:20260720.67d6135 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
amey-thakur/ai-skills
Path
skills/architecture/coupling-analysis/SKILL.md
Versions recorded
1
Latest version
git:20260720.67d6135, committed Jul 20, 2026
Size
3,865 bytes
Repository stars
13
License
MIT

Measure and manage coupling with afferent/efferent metrics, change amplification, and one-way dependency rules. Use when a codebase is hard to change safely or you are deciding where to draw module boundaries.

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

# Coupling analysis

How hard a system is to change safely is mostly a function of its
coupling: how much one part must know about another, and how far a
change ripples. Good architecture is not about eliminating coupling
(impossible) but directing it: toward stable things, in one direction,
across as few boundaries as possible.

## Method

1. **Measure the two directions.** Afferent coupling (how
   many things depend on this module: its responsibility)
   and efferent coupling (how many things this module
   depends on: its fragility). A module with high afferent
   coupling must be stable (many depend on it); a module
   with high efferent coupling is hard to change (it breaks
   when any dependency does). Tools compute these; the
   numbers name your risky modules.
2. **Point dependencies toward stability.** Stable, abstract
   things (interfaces, core domain: see
   domain-driven-design) are depended upon; volatile,
   concrete things (UI, external integrations) depend
   outward and are depended on by nothing (the
   dependency-inversion instinct: see layered-architecture,
   hexagonal-architecture). A stable module depending on a
   volatile one is inverted and will churn.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add amey-thakur/ai-skills/coupling-analysis@sha256:237fe5e4fdcc9421

The line at the top of this page pins the label git:20260720.67d6135, 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_ikfei6nxbkiy3apy.svg)](https://markdownregistry.com/a/art_ikfei6nxbkiy3apy)

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

Versions

The registry has recorded 1 version of this file, committed on Jul 20, 2026.

versioncommittedcommitsizeaudit
git:20260720.67d6135 latest2026-07-20 67d6135 3,865 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 (3865 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

amey-thakur/ai-skills · 13 stars · license MIT · pushed 2026-09-06 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ikfei6nxbkiy3apy
GET https://markdownregistry.com/api/v1/resolve?ref=amey-thakur/ai-skills/coupling-analysis
GET https://markdownregistry.com/api/v1/blob/237fe5e4fdcc9421e9d5aa4d92be9d0b62e58117908bfc307a1a9aa95462f83e

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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