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/redongreen/uspec/extract-structurenpx skills add redongreen/uSpec --skill extract-structuregit clone --depth 1 https://github.com/redongreen/uSpecWhat 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 | $0.00078 | $0.13072 |
| Opus 5 | $0.00039 | $0.06536 |
| Sonnet 5 | $0.00016 | $0.02614 |
| Haiku 4.5 | $0.00008 | $0.01307 |
Grade A, and why
extract-structure 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 — 600 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Extract Structure Data
Interpretation-only companion to create-structure. This skill does not extract data from Figma. It reads {cachePath}/{componentSlug}-_base.json (produced by the uSpec Extract Figma plugin), applies the same reasoning layer as create-structure, and writes the normalized StructureSpecData JSON to disk for the create-component-md orchestrator to consume.
Quality contract: every reasoning step (section planning, ownership resolution, override promotion, design-intent notes, anomaly detection) mirrors create-structure/SKILL.md. Any improvement to structure-extraction quality must be made in both places.
Batch-mode contract. This skill MUST NOT call AskQuestion, prompt for confirmation, or pause for user input. When a value cannot be resolved from _base.json (and a Step 3-delta doesn't recover it), emit a row with provenance: "not-measured" and values: ["—", …] instead of asking. No mid-interpretation clarifications.
Invocation Contract
The orchestrator calls this skill with these inputs (already resolved — do NOT re-parse URLs or re-read uspecs.config.json):
componentSlug— filename-safe slugcachePath— cache directory, typically.uspec-cache/{componentSlug}/optionalContext— free-form string from the user (may be"none")mcpProvider—figma-consoleorfigma-mcp(only needed if a Step 3-delta escape hatch fires AND a live Figma link was provided to the orchestrator)deltaAvailable— boolean. When the orchestrator received only abaseJsonPath(nofigmaLink), this isfalseand the Step 3-delta escape hatch must not fire; log the gap indata._deltaExtractions[]withunavailable: "no-figma-link"and continue with best-effort output.apiDictionaryPath— absolute or workspace-relative path to{cachePath}/{componentSlug}-api-dictionary.json. Optional. When present, this file is the canonical vocabulary for axis/value/sub-component/state naming (see Step 2.5). When absent, the skill continues with_dictionaryUnavailable: truein its output envelope and the renderer treats the produced cache as lower-confidence.evidencePath— optional. Path to{cachePath}/{componentSlug}-evidence-structure.jsonfrom CLI prepare. When present and hash-valid, usedataas the Step 3 working evidence set.
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 · 600 lines · 78 tokens per session scan A 70944a19159d
extract-structure is a skill published in the GitHub repository redongreen/uSpec (239 stars, last pushed 1mo ago), licensed MIT. It adds 78 tokens to every session and 13,072 once invoked, about $0.0004 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.
Other skills, from other repositories
system-pitch
Write a design system investment pitch with a business case and ROI framing. Trigger when someone says: pitch the design system, make the case for the system, sell this to leadership, justify the investment, business case for design systems, why should we invest in a design system, or anything about building an…
ai-component-description
Generate AI-optimised text descriptions for components, formatted for Figma's MCP server and LLM consumption. This produces prose descriptions in a six-section format (purpose, props, anti-patterns, composition, accessibility, examples), NOT JSON schemas or structured data files. Trigger when someone says: write…
stakeholder-brief
Write a one-page stakeholder brief translating design system health or status into business language. Trigger when someone says: stakeholder update, exec brief, leadership summary, status report for leadership, system status for non-designers, write a brief for the business, or anything about communicating design…
token-audit
Audit a design system's token definitions for naming violations, missing semantic tiers, and structural debt. This audits how tokens are defined and organised, NOT how they are consumed in code. Trigger when someone says: audit my tokens, token naming review, are my tokens consistent, token health check, review my…
accessibility-per-component
Run an accessibility audit on a specific design system component. Trigger when someone says: accessibility check, a11y audit, WCAG compliance, is this accessible, check accessibility, does this meet WCAG, screen reader support, keyboard navigation check, or anything about auditing the accessibility of a specific…
codemod-generator
Generate codemods (automated code transformation scripts) for design system migrations — token renames, component API changes, prop deprecations, and import path updates. Produces ready-to-run jscodeshift or custom AST transform scripts that safely apply changes across consuming codebases. Trigger when someone says…