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.
npx skills add murphytrueman/design-system-ops --skill metadata-schema-generatorgit clone --depth 1 https://github.com/murphytrueman/design-system-opsWrote 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.
[](https://agentmods.dev/skills/murphytrueman/design-system-ops/metadata-schema-generator)<a href="https://agentmods.dev/skills/murphytrueman/design-system-ops/metadata-schema-generator"><img src="https://agentmods.dev/badge/skills/murphytrueman/design-system-ops/metadata-schema-generator/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/murphytrueman/design-system-ops/metadata-schema-generator"><img src="https://agentmods.dev/badge/skills/murphytrueman/design-system-ops/metadata-schema-generator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00062 | $0.04858 |
| Opus 5.5 | $0.00025 | $0.01943 |
| Sonnet 5.5 | $0.00012 | $0.00972 |
| Haiku 4.5 | $0.00006 | $0.00486 |
Grade A, and why
metadata-schema-generator 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 477 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Metadata schema generator
A skill for generating structured JSON metadata schemas for design system components. These schemas encode everything an AI agent, MCP server, code generator, or testing framework needs to work with a component programmatically — props, behavioural rules, composition constraints, accessibility contracts, and (where the team supplies it) business context — in a format that does not require natural language parsing.
Before you begin: verify references
Confirm that every path in this skill's frontmatter references: exists relative to this SKILL.md. If any is missing, stop: the install is incomplete, usually because a flattening installer (for example npx skills install) dropped the repo-root knowledge-notes/ directory. Tell the user to reinstall by a method in 1-INSTALL.md and run verify-install.sh from the install root. Proceed without the references only if the user explicitly says to, and then say in the output that it was produced without the pack's reference material.
Context
Component documentation serves humans. Component metadata serves machines. The distinction matters because the information needs are different, the format requirements are different, and the failure modes are different.
A human reading a component's documentation can infer that "this button triggers the primary action" means it should be visually prominent and placed in the expected location. A code generation agent reading that same string cannot infer any of that — it needs explicit data: { "role": "primary_action", "visual_weight": "high", "placement": ["form_footer", "dialog_footer", "page_header"] }.
Most design systems have one layer of machine-readable data: TypeScript interfaces or PropTypes declarations that define prop names and types. This is necessary but insufficient. A TypeScript interface tells a tool that a Button accepts a variant prop of type "primary" | "secondary" | "ghost" — but it does not tell the tool when to use primary vs secondary, which combinations of props are prohibited, where the component can be placed in a layout, or what accessibility contract it must honour.
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.
- 1mo ago Changed · +4 lines 0603b26626f1
- 1mo ago Changed · +92 lines · -77 tokens per session f4e26ca8af8b
- 1mo ago First seen · 381 lines · 139 tokens per session scan A 9dac717d3676
metadata-schema-generator is a skill published in the GitHub repository murphytrueman/design-system-ops (211 stars, last pushed 1mo ago), licensed MIT. It adds 62 tokens to every session and 4,858 once invoked, about $0.0002 per session on Opus 5.5. 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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