governance-encoder

governance-encoder is a skill for Claude Code, Codex from murphytrueman/design-system-ops. It costs 116 tokens per session (3,684 once invoked), scanned A, original, MIT.

A tool that turns design-system policies into JSON rules that software can check automatically. Governance policies are rules about how a shared system is used, changed, and maintained.

In plain words
What is it for?
Use it to create machine-checkable files for naming, token use, contribution, and other design-system rules in AI workflows and continuous integration pipelines.
Why use it?
Rules hidden in documents, wikis, or messages are easy for people and AI agents to miss; structured checks make them enforceable.

Skill for Claude CodeCodex

Part of the design-system-ops plugin — 40 skills, 14 commands shipped together

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/murphytrueman/design-system-ops/governance-encoder
Any agent
npx skills add murphytrueman/design-system-ops --skill governance-encoder
Clone the repo
git clone --depth 1 https://github.com/murphytrueman/design-system-ops

Made for: Claude Code, Codex.

Or install design-system-ops, the plugin that ships this one along with the rest of its 40 skills, 14 commands.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for governance-encoder

README.md
[![agentmods](https://agentmods.dev/badge/skills/murphytrueman/design-system-ops/governance-encoder.svg)](https://agentmods.dev/skills/murphytrueman/design-system-ops/governance-encoder)
Your own site
<a href="https://agentmods.dev/skills/murphytrueman/design-system-ops/governance-encoder"><img src="https://agentmods.dev/badge/skills/murphytrueman/design-system-ops/governance-encoder.svg" alt="Measured on agentmods" height="20"></a>
Per session 116 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,684 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00116 $0.03684
Opus 5 $0.00058 $0.01842
Sonnet 5 $0.00023 $0.00737
Haiku 4.5 $0.00012 $0.00368

Measured 6d ago against content hash 9773394e9a03, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

governance-encoder scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/governance-encoder/SKILL.md · 432 lines

How it starts

The opening of the file, as written. The whole thing — 432 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Governance encoder

A skill for converting design system governance policies — the rules about how the system should be used, contributed to, and evolved — from human-readable documentation into machine-executable constraint definitions that AI agents validate against in real time.

Context

Most design system governance lives in documents that humans read and (sometimes) follow. Contribution guidelines in a wiki. Naming conventions in a README. Token usage rules in a Slack thread from eighteen months ago. These rules are enforced by review — a senior team member spots a violation during a PR review or a design crit and asks for a correction.

This enforcement model breaks down at scale, and it breaks down entirely with AI agents. An agent generating a component cannot read a wiki page and decide to follow the naming convention. It cannot recall a Slack conversation about token usage. It needs rules expressed as structured data with explicit conditions, constraints, and consequences that it can evaluate programmatically.

Governance encoding is the process of taking every governance rule that currently lives in a human-readable document and expressing it as a machine-checkable constraint. The output is not a better document — it is a rule engine that agents (and CI pipelines and linters) consume directly.

The distinction between governance documentation and governance encoding:

  • Documentation says: "Components should follow our naming convention."
  • Encoding says: { "rule": "component_naming", "pattern": "^[A-Z][a-zA-Z]+$", "scope": "component_export_name", "severity": "error", "message": "Component names must be PascalCase with no special characters" }

Both are necessary. Documentation explains the intent. Encoding enforces the constraint.


Configuration

Before producing output, check for a .ds-ops-config.yml file in the project root. If present, load:

  • governance.rule_format — output format preference (JSON or YAML, default: JSON)
  • governance.severity_model — custom severity levels (default: error/warning/info)
  • governance.categories — override default rule categories
  • system.framework — framework-specific rules (React, Vue, Svelte)
  • system.tokens — identifies token files for token governance rules
  • integrations.* — enables auto-pull for existing governance context

Read the full file on GitHub · 432 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 6d ago First seen · 432 lines · 116 tokens per session scan A 9773394e9a03

Subscribe to this mod's changes

governance-encoder is a skill published in the GitHub repository murphytrueman/design-system-ops (175 stars, last pushed 14d ago), licensed MIT. It adds 116 tokens to every session and 3,684 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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