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 agentmods add skills/murphytrueman/design-system-ops/codebase-indexnpx skills add murphytrueman/design-system-ops --skill codebase-indexgit clone --depth 1 https://github.com/murphytrueman/design-system-opsWhat 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 | $0.00132 | $0.03293 |
| Opus 5 | $0.00066 | $0.01647 |
| Sonnet 5 | $0.00026 | $0.00659 |
| Haiku 4.5 | $0.00013 | $0.00329 |
Grade A, and why
codebase-index 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 2d 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 — 308 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Codebase index
A skill for generating a pre-computed, machine-readable index of a design system's codebase. The index contains three pieces: a component inventory, a relationship graph, and summary statistics. Together they form a queryable map that eliminates the need for AI agents or developers to explore the codebase from scratch every time they need to understand the system.
Context
When an AI agent needs to work with a design system codebase, it has two options: explore or navigate. Exploration means scanning directories, grepping for imports, reading files one by one. Navigation means loading a pre-computed index and reasoning over cached data.
The difference matters. Exploration is slow, incomplete, and non-deterministic. An agent scanning src/components might miss components in src/layouts, src/pages, or utility directories that don't follow naming conventions. It might report a deeply-nested component as "unused" because it can't trace the dependency chain. It might recreate an existing component because it didn't find it.
A pre-computed index front-loads this cost. The agent loads the index once — typically a few thousand tokens — and gets a complete picture of what exists, where things live, and how they relate. Follow-up questions become cheap because the agent reasons over cached data instead of triggering new file reads.
This skill generates that index. Run it after adding or removing components, and commit the output alongside the code.
Configuration
Before producing output, check for a .ds-ops-config.yml file in the project root. If present, load:
system.framework— pre-selects framework detection (React, Vue, Svelte, Astro, Angular, etc.)system.component_paths— overrides default component directory scanningsystem.category_model— atomic design, functional, or custom categorisationintegrations.*— enables auto-pull for component datarecurring.*— enables comparison with previous index
Auto-pull integrations
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.
- 2d ago First seen · 308 lines · 132 tokens per session scan A b2119dd5fde2
codebase-index is a skill published in the GitHub repository murphytrueman/design-system-ops (174 stars, last pushed 10d ago), licensed MIT. It adds 132 tokens to every session and 3,293 once invoked, about $0.0007 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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