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 onboardinggit 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/onboarding)<a href="https://agentmods.dev/skills/murphytrueman/design-system-ops/onboarding"><img src="https://agentmods.dev/badge/skills/murphytrueman/design-system-ops/onboarding/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/onboarding"><img src="https://agentmods.dev/badge/skills/murphytrueman/design-system-ops/onboarding.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.02176 |
| Opus 5.5 | $0.00025 | $0.00870 |
| Sonnet 5.5 | $0.00012 | $0.00435 |
| Haiku 4.5 | $0.00006 | $0.00218 |
Grade A, and why
onboarding 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 24d 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 — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Onboarding
A skill for writing an onboarding guide for someone joining a team that consumes the design system. One guide, with a shared core and a section for the reader's role: designer, engineer, or both. Every fact in it comes from the repository, the Figma library, or the team; anything else is marked [confirm: …] and listed at the top so nobody publishes a guess.
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
Onboarding docs fail in one of two ways. Written from the system team's side, they assume context and hand the newcomer a reading list instead of a path. Written from a template, they describe a generic design system rather than this one, so the reader learns nothing they couldn't have guessed. Designers and engineers also arrive at the system from opposite sides: a designer composes with a library (Figma, Storybook); an engineer consumes an API (imports, props, types). The drift both create starts in week one, when the system is "close but not quite right" and someone builds around it. A guide that is specific, honest about gaps, and clear about what to do when the system doesn't have something is the highest-leverage adoption work a team can do.
Step 0: Read before asking
Gather the facts from where they already live. Ask the team only for what these can't answer.
Config. .ds-ops-config.yml: system.name, system.framework, system.styling, integrations.figma.file_key, integrations.npm.package_name.
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.
- 24d ago First seen · 116 lines · 62 tokens per session scan A 8a18173fd769
onboarding is a skill published in the GitHub repository murphytrueman/design-system-ops (208 stars, last pushed 24d ago), licensed MIT. It adds 62 tokens to every session and 2,176 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 2026-09-25.
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