fitness-functions skillA
fitness-functions is agent-read markdown (skill) from habitat-thinking/ai-literacy-superpowers: 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.
Indexed from public GitHub and served as immutable, content-addressed versions. Install it pinned to an exact SHA-256 with the mdr CLI, and every file is verified against the hash recorded here before it reaches your agent. The deterministic audit below grades the latest version, and the same file always earns 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. --- …
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How to install
mdr add habitat-thinking/ai-literacy-superpowers/fitness-functions@git:20260407.30b182cmdr add habitat-thinking/ai-literacy-superpowers/fitness-functions@sha256:ac5843bc4da42d1aPin to a label to follow the author's releases, or to a sha256 to freeze the exact bytes forever. Either way the resolved hash is written to mdr.lock, and mdr install reproduces it on any machine.
[](https://markdownregistry.com/a/art_jha4ypcsruv4ildi)
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Audit of the latest version
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Source
habitat-thinking/ai-literacy-superpowers · 106 stars · license NOASSERTION · pushed 2026-09-20 · 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
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