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 mythkiven/figma-ios-codegen --skill figma-ios-variables-detectiongit clone --depth 1 https://github.com/mythkiven/figma-ios-codegenWrote 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/mythkiven/figma-ios-codegen/figma-ios-variables-detection)<a href="https://agentmods.dev/skills/mythkiven/figma-ios-codegen/figma-ios-variables-detection"><img src="https://agentmods.dev/badge/skills/mythkiven/figma-ios-codegen/figma-ios-variables-detection/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/mythkiven/figma-ios-codegen/figma-ios-variables-detection"><img src="https://agentmods.dev/badge/skills/mythkiven/figma-ios-codegen/figma-ios-variables-detection.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 | $0.00057 | $0.00417 |
| Opus 5 | $0.00028 | $0.00209 |
| Sonnet 5 | $0.00011 | $0.00083 |
| Haiku 4.5 | $0.00006 | $0.00042 |
Grade A, and why
figma-ios-variables-detection 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 9d 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.
What it actually says
Figma Variables 多 Mode 警告处理（消费数据包）
数据来源
{data_dir}/manifest.json：summary.has_dark_mode(bool) 与warnings[]{data_dir}/variables.json：原始 Variables 数据，含每个 Mode 的 token 值（按需查阅）
处置规则
1. has_dark_mode == true
在生成的 Swift 文件顶部追加 banner 注释：
// ============================================================
// ⚠️ WARNING: Dark Mode 未生成
// ============================================================
// 设计稿在 Figma Variables 中定义了多个 Mode（含暗色模式），
// 当前生成的代码只覆盖了 Light Mode 的颜色 token。
//
// 暗色处理建议：
// 1. 用 UIColor(dynamicProvider:) 包裹关键颜色
// 2. 或基于 traitCollection.userInterfaceStyle 在 traitCollectionDidChange 切换
// 3. 详细 Mode 列表与 token 值见 {data_dir}/variables.json
// ============================================================
2. has_dark_mode == false
不输出任何 dark mode 注释。
3. 其他 warning（如 Token referenced but not resolved）
转为代码顶部 // WARNING: <msg> 单行注释。
自检清单
- 已读
manifest.json -
has_dark_mode==true时已加 banner 注释 - 其他 warnings 已逐条转为代码注释
- 没有调用
detect_figma_variables.py或 MCPget_variable_defs
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.
- 9d ago First seen · 50 lines · 57 tokens per session scan A f4ec7ed54b88
figma-ios-variables-detection is a skill published in the GitHub repository mythkiven/figma-ios-codegen (9 stars, last pushed 1mo ago), licensed MIT. It adds 57 tokens to every session and 417 once invoked, about $0.0003 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 2026-08-31.
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