Home / habitat-thinking / ai-literacy-superpowers · ai-literacy-superpowers/skills/governance-constraint-design/SKILL.md · GitHub

governance-constraint-design skillA

governance-constraint-design is agent-read markdown (skill) from habitat-thinking/ai-literacy-superpowers: Use when writing governance constraints for HARNESS.md, translating governance language into operational meaning, reviewing existing governance constraints for falsifiability, or when "/governance-constrain" needs guidance on the authoring workflow..

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

# Governance Constraint Design

A governance constraint encodes operational meaning, not governance
language. The phrase "ensure human oversight" is governance language —
it sounds precise but means different things to different people. A
governance constraint translates that language into a verification
slot with defined pass/fail criteria, evidence requirements, and
failure actions.

This skill teaches how to make that translation. It is referenced by
the `/governance-constrain` command for guided authoring and by the
`harness-enforcer` agent when validating governance constraint quality.

## The Core Problem

Governance language carries meaning in one reference frame but is
implemented in another. The regulator writes "meaningful human
oversight." The engineer implements a boolean approval gate. The
compliance team audits the approval log. All three frames are
satisfied syntactically while governance fails semantically — the
approval happens, but the oversight is absent.

A governance constraint must make this translation explicit.

## The Falsifiability Test

Every governance constraint must answer three questions:
…

Read the whole file at its exact version.

How to install

Latest version
mdr add habitat-thinking/ai-literacy-superpowers/governance-constraint-design@git:20260413.39a7625
Exact content
mdr add habitat-thinking/ai-literacy-superpowers/governance-constraint-design@sha256:6cb79ffb39133883

Pin 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.

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Versions

versioncommittedcommitsizeaudit
git:20260413.39a7625 latest2026-04-13 39a7625 4,579 BA view

Audit of the latest version

A  17 of 17 checks passed. Deterministic, no model, 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 (4579 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 · 106 stars · license NOASSERTION · pushed 2026-09-20 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_ypfmqhts52ajddxq
GET https://markdownregistry.com/api/v1/resolve?ref=habitat-thinking/ai-literacy-superpowers/governance-constraint-design
GET https://markdownregistry.com/api/v1/blob/6cb79ffb39133883147a12221a691c52cff07852ec84700401aee4a8897fe05a

Your agent 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.

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