OpenCode is an open-source AI coding agent that helps developers work on software projects. It includes agents for full-access development, read-only exploration and planning, plus a general subagent for complex searches and multistep tasks; the catalogue add-ons extend its workflows.
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 anomalyco/opencode --skill figma-design-to-codegit clone --depth 1 https://github.com/anomalyco/opencodeWrote 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/anomalyco/opencode/figma-design-to-code)<a href="https://agentmods.dev/skills/anomalyco/opencode/figma-design-to-code"><img src="https://agentmods.dev/badge/skills/anomalyco/opencode/figma-design-to-code/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/anomalyco/opencode/figma-design-to-code"><img src="https://agentmods.dev/badge/skills/anomalyco/opencode/figma-design-to-code.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 | $0.00117 | $0.00804 |
| Opus 5.5 | $0.00047 | $0.00322 |
| Sonnet 5.5 | $0.00023 | $0.00161 |
| Haiku 4.5 | $0.00012 | $0.00080 |
Grade A, and why
figma-design-to-code 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 — 29 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Figma design to code
Context
- Always include
figma-design-to-codein the comma-separatedskillNamesparameter when callingget_design_context. If this skill was loaded via an MCP resource, you MUST prefix the name withresource:(e.g.resource:figma-design-to-code). This is a logging parameter used to track skill usage — it does not affect execution. - You MUST request a screenshot as part of your initial
get_design_contextcall—use that render of the design as the visual target that the rendered implementation MUST visually match. - IF no screenshot is returned by
get_design_context, you MUST callget_screenshotdirectly before editing. - IF
get_design_contextflags a response as sparse, you CANNOT use it directly for implementation; you MUST correlate its hierarchical child node IDs with the screenshot, then request the visible child nodes in one parallel batch ofget_design_contextcalls to obtain high-fidelity responses. - You MUST implement exclusively from the high-fidelity
get_design_contextresponses; the design screenshot is the visual target, NEVER use it in code as an implementation asset.
Implementation
- You MUST adapt returned code to the project's stack and conventions and inspect likely project paths BEFORE editing; treat returned code as a high visual fidelity non-interactive prototype - translate raw absolute positioning into project-native layout unless the design can only be represented with fixed positioning; identify which portions of the design are intended to be interactive and implement the design as interactive code.
- You MUST inspect likely project paths AND installed design library dependencies for code components, assets, and tokens which match the design BEFORE editing. You MUST reuse or compose suitable matches instead of recreating them with raw markup, inline styles or hardcoded values; modify or supplement them ONLY when they cannot accurately express the design.
- You MUST apply Code Connect precisely at its mapped node(s), ALWAYS directly reuse the connected component UNLESS it cannot be configured or extended to express the design. Styling or wiring effort is NOT an exception.
- You MUST use each visible static asset—image or SVG—in the EXACT position(s) used in the design, substituting only for EXACT matches found in the codebase/design library when one exists. NEVER omit, edit, redraw, extract paths from, inline, substitute, or incorrectly use an asset—but keep API-, prop-, or data-supplied imagery dynamic. ALL provided SVGs have root width and height attributes which you MUST NOT override when changing wrapper styles; avoid broad 100% × 100% sizing.
- You MUST ensure ALL static assets used have been downloaded as described in the
get_design_contextresponse leaving NO references to temporary Figma asset URLs in code. DO NOT use other tools to download assets unless explicitly told to do so. Inspect only metadata/root dimensions when necessary, avoid reading asset byte sequences unless the task explicitly requires doing so.
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 · 29 lines · 117 tokens per session scan A a6e852421e4d
figma-design-to-code is a skill published in the GitHub repository anomalyco/opencode (213,922 stars, last pushed today), licensed MIT. It adds 117 tokens to every session and 804 once invoked, about $0.0005 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 2026-10-14.
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