OpenDesign is an open-source, local-first desktop app that lets coding agents create prototypes, dashboards, slide decks, images, video, and design systems as exportable files. It is used by people working with agent runtimes such as Claude Code, Codex, Cursor, and DeepSeek Harness. The catalogue add-ons extend the OpenDesign workflow with skills, instructions, commands, and plugins.
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 nexu-io/open-design --skill figma-extractgit clone --depth 1 https://github.com/nexu-io/open-designWrote 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/nexu-io/open-design/figma-extract)<a href="https://agentmods.dev/skills/nexu-io/open-design/figma-extract"><img src="https://agentmods.dev/badge/skills/nexu-io/open-design/figma-extract/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/nexu-io/open-design/figma-extract"><img src="https://agentmods.dev/badge/skills/nexu-io/open-design/figma-extract.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Snyk pass
- 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 | $0.00029 | $0.00623 |
| Opus 5 | $0.00015 | $0.00311 |
| Sonnet 5 | $0.00006 | $0.00125 |
| Haiku 4.5 | $0.00003 | $0.00062 |
Grade A, and why
figma-extract 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 6d 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 — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Figma extract
Spec §10 / §21.3.1: the figma-migration scenario starts with a Figma
file URL + an OAuth token. This atom turns that pair into the
authoritative on-disk record subsequent stages (token-map,
generate, critique) operate on.
Inputs
| Source | Required | Notes |
|---|---|---|
Figma file URL or node-id |
yes | Provide via the figma-oauth GenUI surface or od plugin apply --input fileUrl=… |
| Figma OAuth token | yes | Routed through oauth-prompt with oauth.route='connector' and connectorId='figma'; the daemon never stores the token in SQLite |
Output
The atom writes a deterministic, JSON-shaped extract under the project cwd:
project-cwd/
├── figma/
│ ├── tree.json # canonical node tree (id / type / parent / children / box / fills / text)
│ ├── tokens.json # color + typography + spacing tokens lifted off the file
│ ├── assets/ # rasterised exports of every leaf node that the file marks for export
│ │ └── <node-id>.<png|svg|webp>
│ └── meta.json # { fileUrl, version, lastModified, exportedAt, atomDigest }
figma/tree.json is the canonical pivot for every downstream atom.
figma/tokens.json is the input to token-map. assets/ is the
input to generate's media stage.
Convergence
The atom completes when figma/tree.json exists and is non-empty.
The until evaluator reads figma.tree.nodes >= 1; if the figma
file is empty or the OAuth token expired, the atom emits a clear
error event and the run aborts (the user fixes auth or picks a
different file).
Anti-patterns the prompt fragment forbids
- Synthesising a tree from screenshots when the OAuth path failed — always re-prompt the user; never make up node ids.
- Dropping unsupported node types silently; record them in
meta.json.unsupportedNodes[]so the human can audit gaps. - Treating component instances as duplicates; record
componentReflinks sotoken-mapcan de-duplicate at the right boundary.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 6d ago First seen · 65 lines · 29 tokens per session scan A 9828c1d256b9
figma-extract is a skill published in the GitHub repository nexu-io/open-design (95,021 stars, last pushed today), licensed Apache-2.0. It adds 29 tokens to every session and 623 once invoked, about $0.0001 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 2026-09-03.
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