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 design-to-code-checkgit 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/design-to-code-check)<a href="https://agentmods.dev/skills/murphytrueman/design-system-ops/design-to-code-check"><img src="https://agentmods.dev/badge/skills/murphytrueman/design-system-ops/design-to-code-check/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/design-to-code-check"><img src="https://agentmods.dev/badge/skills/murphytrueman/design-system-ops/design-to-code-check.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 | $0.00071 | $0.03346 |
| Opus 5.5 | $0.00028 | $0.01338 |
| Sonnet 5.5 | $0.00014 | $0.00669 |
| Haiku 4.5 | $0.00007 | $0.00335 |
Grade A, and why
design-to-code-check 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 28d 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 — 235 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Design-to-code check
A skill for reviewing the alignment between a design specification and its code implementation, producing a structured discrepancy report catalogued by dimension and severity.
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
Design-to-code alignment reviews catch two different categories of problem. The first is implementation error — the developer built something different from what was specified, either by mistake or because the specification was unclear. The second is specification ambiguity — the design did not define behaviour completely enough for the developer to implement it correctly, and the developer made a reasonable guess that turned out to be wrong.
Both categories matter, but they require different responses. An implementation error needs to be corrected in the code. A specification ambiguity needs to be corrected in the design and documented, so the same guess does not get made again.
This skill produces a report that distinguishes between the two.
Configuration
If .ds-ops-config.yml exists, follow the configuration-and-recurring knowledge note (../../knowledge-notes/configuration-and-recurring.md) for loading, integration fallbacks and recurring runs. This skill reads:
severity.*— discrepancy severity overrides, especiallyspecification_gapandmissing_interaction_statesystem.frameworkandsystem.styling— pre-select framework-specific checking guidanceintegrations.figma— the design specification (see below)integrations.chromatic— visual regression data as a supplementary signalintegrations.github— the component sourcegates.design_to_code— if running as part ofcomponent-to-release, determines which findings block release
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.
- 28d ago Changed · +1 lines · +12 tokens per session 5211373d2222
- 29d ago Changed · -13 lines · -36 tokens per session ba4f6365671f
- 1mo ago First seen · 247 lines · 95 tokens per session scan A 57c24c82b8d5
design-to-code-check is a skill published in the GitHub repository murphytrueman/design-system-ops (210 stars, last pushed 28d ago), licensed MIT. It adds 71 tokens to every session and 3,346 once invoked, about $0.0003 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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