Borrowing it
Nothing to install: this file belongs to DavidLam-oss/obsidian-wechat-converter. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/DavidLam-oss/obsidian-wechat-converter/main/.claude/skills/openprd-ui-context/SKILL.mdgit clone --depth 1 https://github.com/DavidLam-oss/obsidian-wechat-converterWrote 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/davidlam-oss/obsidian-wechat-converter/openprd-ui-context)<a href="https://agentmods.dev/skills/davidlam-oss/obsidian-wechat-converter/openprd-ui-context"><img src="https://agentmods.dev/badge/skills/davidlam-oss/obsidian-wechat-converter/openprd-ui-context/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/davidlam-oss/obsidian-wechat-converter/openprd-ui-context"><img src="https://agentmods.dev/badge/skills/davidlam-oss/obsidian-wechat-converter/openprd-ui-context.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00069 | $0.01617 |
| Opus 5 | $0.00034 | $0.00809 |
| Sonnet 5 | $0.00014 | $0.00323 |
| Haiku 4.5 | $0.00007 | $0.00162 |
Grade A, and why
openprd-ui-context 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 5d 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 — 135 lines — stays where its author put it; the contents beside it link to each section on GitHub.
OpenPrd UI Context
这份 skill 是项目理解与 Impeccable 之间的专业设计层，不是 CodeGraph 翻译器，也不是固定风格数据库。
触发边界
- 新建界面、核心页面、视觉系统、信息架构或关键用户流程：运行完整流程。
- 存量项目的结构性 UI 改造：运行完整流程，并优先消费代码事实。
- 卡片间距、颜色、字号、局部对齐等低风险修正：使用
local-fix，复用已有冻结上下文。 - 纯后端、纯脚本、纯数据和无用户可见输出：跳过本 skill。
核心原则
- CodeGraph 只在 brownfield 中作为可选代码事实输入；不可用时回退本地扫描并标记 evidence-gap。
- greenfield 从已确认 PRD/review 生成
planned UI topology；永远不要称它为 CodeGraph 或现有代码事实。 - 先做产品设计、UX 架构与审美判断，再请用户确认少量高价值变量。
- 三个方向必须在生成逻辑、信息组织、密度、素材策略、交互哲学或视觉气质上真正不同。
- 未记录
user-confirmed方向前，不冻结 PRODUCT.md/DESIGN.md，也不进入 Impeccable 实现。 - 不静默覆盖已有合同；发现冲突时保留原文件并请求
preserve / merge / refresh决策。
工作流
1. 建立证据底座
运行：
openprd ui-context . --mode auto --json
读取 .openprd/design/ui-context/context.json。按模式继续：
greenfield：读取 greenfield.md，从已冻结 PRD/review 编译计划页面、入口、流程、状态、复用组件和数据角色。brownfield：读取 brownfield.md，查询可用 CodeGraph，并补路由、组件、CSS/tokens、状态、资产和 blast radius 扫描。local-fix：复用已有 PRODUCT.md、DESIGN.md 和 active design artifacts，不重开完整方向评审。
每条关键结论都保留：source、confidence、conflicts、open questions。事实优先级与冲突处理见 evidence-policy.md。
2. 做专业设计判断
结合 $openprd-frontend-design、项目事实、用户目标、受众、可访问性与技术约束，先形成一条设计 brief：
- 用途与关键任务
- 目标用户与使用环境
- 气质端点与品牌强度
- 信息密度与响应式约束
- 素材策略与真实性要求
- 用户第一眼应记住的东西
再生成三个异源方向。每个方向必须说明：
- 生成逻辑：
contrast/reference-transfer/design-lens - 产品与 UX 主张
- 页面骨架、密度、视觉层级和状态策略
- 色彩、字体、表面、图标、图片与动效角色
- 记忆点、适用场景、主要风险和主动避开的模板味
不要把专业判断全部甩给用户；先给带理由的推荐。
3. 只确认高价值决策
向用户展示三个方向和推荐，按实际缺口确认：
- 方向
- 明暗偏好
- 信息密度
- 品牌表达强度
- 动效强度
- 参考图或参考站点的约束地位
用户确认后运行：
openprd ui-context . --direction <1|2|3> --source user-confirmed --json
如果已有 PRODUCT.md/DESIGN.md 冲突，先完成 preserve/merge/refresh 决策，并在记录方向时显式加 --contract-decision <preserve|merge|refresh>；不得用 --force 绕过。preserve 会保持阻断，merge / refresh 只表示用户批准 Agent 继续编译，不会让 Host API 静默覆盖文件。
What ships with it
6 files 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.
- 5d ago First seen · 135 lines · 69 tokens per session scan A 24fb149c5875
openprd-ui-context is a skill published in the GitHub repository DavidLam-oss/obsidian-wechat-converter (307 stars, last pushed yesterday), licensed MIT. It adds 69 tokens to every session and 1,617 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 2026-09-04.
Other skills, from other repositories
webgl-holographic-foil
A self-contained WebGL2 hero: thin-film interference over a crushed-foil surface whose palette shifts with the viewing angle; move the cursor to tilt the film.
html-ppt-hermes-cyber-terminal
OpenDesign + BYOK: choosing and wiring your own model, hands-on — cost, quality, and the routing decision. Built as a decision-grade AI literacy deck for engineers, IT, applied-AI teams.
html-ppt-taste-brutalist
16:9 HTML deck in tactical-telemetry / CRT-terminal taste. Deactivated-CRT charcoal slides, white-phosphor monospace, hazard-red accent, scanline overlay, ASCII syntax, density over decoration. Distilled from Leonxlnx/taste-skill brutalist-skill (Tactical Telemetry mode).
visual-ralph
Visual Ralph orchestration for frontend UI from generated references, static references, or live URL targets, using $ralph with built-in visual verdict and pixel-diff evidence until the implementation matches and leaves a reproducible design system.
accessibility
Consolidated accessibility skill entrypoint for WCAG 2.2, ARIA Authoring Practices, cognitive accessibility, Section 508, EN 301 549, design intent verification, and the Accessibility Planner workflow.
make-resume
A Chinese-language tool for creating editable HTML resumes that can be changed in a browser and printed to PDF. It uses available resume templates when they are installed and otherwise provides a simpler fallback.