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.
git clone --depth 1 https://github.com/jiushiwon/wg-skillsWrote 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/commands/jiushiwon/wg-skills/forge)<a href="https://agentmods.dev/commands/jiushiwon/wg-skills/forge"><img src="https://agentmods.dev/badge/commands/jiushiwon/wg-skills/forge/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/commands/jiushiwon/wg-skills/forge"><img src="https://agentmods.dev/badge/commands/jiushiwon/wg-skills/forge.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 | $0.00000 | $0.01252 |
| Opus 5.5 | $0.00000 | $0.00501 |
| Sonnet 5.5 | $0.00000 | $0.00250 |
| Haiku 4.5 | $0.00000 | $0.00125 |
Grade A, and why
forge 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 1mo 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 — 144 lines — stays where its author put it; the contents beside it link to each section on GitHub.
forge — 场景化生成
按指定场景（移动/PC/管理端/营销页/文档/金融/原生/3D）从零生成页面或项目。
用法
forge <scenario> [--brand <name>] [--stack <name>] [--dark] [--prose-only]
参数
| 参数 | 说明 | 默认 |
|---|---|---|
<scenario> |
必填，场景名 | — |
--brand |
品牌风格 | 赤琥金（中文）/ Stripe / Linear |
--stack |
技术栈 | html-tailwind |
--dark |
暗色模式优先 | 否（浅色优先） |
--prose-only |
只输出文案 + 骨架，不写实现 | 否 |
支持的场景
mobile-responsive / pc-corporate / admin-dashboard / landing-marketing / docs-site / fintech-app / mobile-native / threejs-3d
支持的技术栈
html-tailwind / react-nextjs / vue-nuxt / uniapp / react-native / svelte
6 步流水线
1. 加载场景基线
读取 references/scenarios/<scenario>.md，获取布局、组件、交互基线。
2. 选择品牌/调色板
优先级：用户指定品牌 → 推荐品牌（场景默认）→ 默认调色板（赤琥金）
读取 references/brands/<name>.md（如指定）获取调色策略 + 字体配对。
调色板快速选择：
- 场景默认品牌映射（见 SKILL.md 主文件）
- 用户可追加
--brand覆盖
3. 生成 Token
合并场景 + 品牌，输出完整 Token：
- CSS 变量文件（
tokens.css） - Tailwind 配置（如用 Tailwind）
- 主题对象（如用 JS 主题）
模板见 templates/tokens.css.tpl 和 templates/tokens.tailwind.tpl。
4. 生成代码骨架
按技术栈输出：
| 栈 | 输出 |
|---|---|
| html-tailwind | 单页 HTML + Tailwind config + 全局 CSS |
| react-nextjs | Next.js 项目结构 + page.tsx + 基础组件 |
| vue-nuxt | Nuxt 项目结构 + page.vue + 基础组件 |
| uniapp | pages.json + 页面 + 组件 |
| react-native | RN 项目结构 + screens + components |
| svelte | SvelteKit 路由 + page.svelte + 组件 |
5. 应用设计法则
按 anti-patterns.md 自检：
- 调色策略（4 档承诺度）
- 字号阶 ≥1.25 比例
- 行长 65-75ch
- 绝对禁令检查（侧边色条、渐变文字、玻璃拟态默认、hero-metric、相同卡片网格、模态第一反应）
- 减弱动效支持
- 触摸目标 ≥44pt
- 文字对比度 ≥4.5:1
6. 输出报告
# Forge Report — <scenario>
## 场景
- 场景：<scenario>
- 品牌：<brand>
- 技术栈：<stack>
- 主题：light / dark
## 调色板
- 主色：oklch(0.55 0.16 28) — 朱砂红
- 策略：Committed
## 字体
- 标题：'Noto Sans SC', sans-serif
- 正文：'Noto Sans SC', sans-serif
- 等宽：'JetBrains Mono', monospace
## 间距阶梯（4pt 网格）
4 / 8 / 12 / 16 / 20 / 24 / 32 / 40 / 48 / 64 / 96 / 128
## 文件清单
- [tokens.css]()
- [tailwind.config.ts]()
- [index.html]()
- [components/Button.vue]()
- ...
## 自检
- [x] 调色策略 Committed
- [x] 字号阶 ≥1.25
- [x] 触摸目标 ≥44pt
- [x] 减弱动效
- [x] 无 AI slop
## 截图
[本地路径 / URL]
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.
- 1mo ago First seen · 144 lines · 0 tokens per session scan A 773cdf0ff80e
forge is a command published in the GitHub repository jiushiwon/wg-skills (121 stars, last pushed 2d ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 1,252 tokens. 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 commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
speckit.bug.fix
Apply the remediation from a bug assessment and record what was changed.