fitness-functions SKILL.md skillA

fitness-functions from habitat-thinking/ai-literacy-superpowers is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add habitat-thinking/ai-literacy-superpowers/fitness-functions@git:20260407.30b182c

Pins git:20260407.30b182c in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
habitat-thinking/ai-literacy-superpowers
Path
ai-literacy-superpowers/skills/fitness-functions/SKILL.md
Versions recorded
1
Latest version
git:20260407.30b182c, committed Apr 7, 2026
Size
11,355 bytes
Repository stars
121
License
a license file GitHub does not identify

Use when designing architectural fitness functions as GC rules — periodic checks that verify system-wide properties like layer boundaries, coupling trends, and complexity hotspots, complementing per-change constraints with weekly architectural health monitoring.

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

# Architectural Fitness Functions

## Overview

Architectural fitness functions are periodic automated checks that verify
system-wide architectural properties. The concept comes from Ford, Parsons,
Kua & Sadalage's *Building Evolutionary Architectures* (O'Reilly,
2017/2022). Their key insight: architecture degrades not through single
bad changes but through accumulated small violations. Each individual
change looks reasonable in isolation. The damage is cumulative and
invisible until it becomes painful.

Fitness functions catch the accumulation that per-change constraints miss.
They answer questions like:

- Has coupling between modules A and B increased over the last month?
- Are any files becoming complexity hotspots — high churn correlated
  with growing cognitive complexity?
- Do all modules still respect declared layer boundaries?
- Is test coverage declining in the most architecturally significant
  layers?

These checks are too slow or expensive for every PR (full dependency
graph analysis, coupling metric computation, churn-complexity
correlation). But they are too important to skip entirely. The GC
system's weekly cadence is a natural fit.

---
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add habitat-thinking/ai-literacy-superpowers/fitness-functions@sha256:ac5843bc4da42d1a

The line at the top of this page pins the label git:20260407.30b182c, 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_jha4ypcsruv4ildi.svg)](https://markdownregistry.com/a/art_jha4ypcsruv4ildi)

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

Versions

The registry has recorded 1 version of this file, committed on Apr 7, 2026.

versioncommittedcommitsizeaudit
git:20260407.30b182c latest2026-04-07 30b182c 11,355 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 (11355 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

habitat-thinking/ai-literacy-superpowers · 121 stars · license a license file GitHub does not identify · pushed 2026-10-19 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_jha4ypcsruv4ildi
GET https://markdownregistry.com/api/v1/resolve?ref=habitat-thinking/ai-literacy-superpowers/fitness-functions
GET https://markdownregistry.com/api/v1/blob/ac5843bc4da42d1adafe7dbe84d8c0d1655fa2b57492f4c1b3607c6927a04ec6

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 habitat-thinking/ai-literacy-superpowers

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