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 gongyijie85/mattpocock-skills-dsh-zh --skill prototype-zhgit clone --depth 1 https://github.com/gongyijie85/mattpocock-skills-dsh-zhWrote 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/gongyijie85/mattpocock-skills-dsh-zh/prototype-zh)<a href="https://agentmods.dev/skills/gongyijie85/mattpocock-skills-dsh-zh/prototype-zh"><img src="https://agentmods.dev/badge/skills/gongyijie85/mattpocock-skills-dsh-zh/prototype-zh/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/gongyijie85/mattpocock-skills-dsh-zh/prototype-zh"><img src="https://agentmods.dev/badge/skills/gongyijie85/mattpocock-skills-dsh-zh/prototype-zh.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 | $0.00049 | $0.00786 |
| Opus 5 | $0.00024 | $0.00393 |
| Sonnet 5 | $0.00010 | $0.00157 |
| Haiku 4.5 | $0.00005 | $0.00079 |
Grade A, and why
prototype-zh 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 yesterday.
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
原型
原型就是回答某个问题的 throwaway（一次性）代码。问题决定了它的形态。
选择分支
确定要回答的是哪个问题——从用户的 prompt、周围的代码来判断，或者如果用户在场就直接问：
- 「这套逻辑 / state model 感觉对吗？」 → LOGIC.md。构建一个可分享的单个 HTML 文件——自由操作按钮加上带标签页的引导式走查——推动 state machine 走过那些在纸面上难以推演、且非开发人员也能驱动的用例。
- 「它应该长什么样？」 → UI.md。在单一路由上生成几种差异极大的 UI 变体，通过 URL search param（查询参数）和浮动底栏切换。
两个分支产出的 artifact（产物）截然不同——选错会浪费整个原型。如果问题确实含糊且联系不上用户，默认选择与周围代码更匹配的分支（后端模块 → logic；页面或组件 → UI），并在原型顶部注明这一假设。
两个分支都适用的规则
- 从第一天起就是 throwaway，并明确标注。 把原型代码放在它实际使用位置的附近（在它为之仿真的模块或页面旁边），这样上下文一目了然——但要命名得让随意浏览的读者一眼看出这是原型，不是生产代码。对于 throwaway 的 UI 路由，遵循项目已有的路由约定；不要发明新的顶层结构。
- 启动极其简单。 UI 原型只需在项目的 task runner（任务运行器）里执行一条命令——
pnpm <name>、python <path>、bun <path>等。logic 演示则是用户双击即可打开的单个 HTML 文件。无论哪种方式，启动它都不需要动脑筋。 - 默认不持久化。 状态保存在内存中。持久化正是原型要_检验_的东西，而不是它应该依赖的东西。如果问题明确涉及数据库，就使用一个 scratch（临时）数据库，或一个名字明确写着「PROTOTYPE — wipe me（原型——用完即删）」的本地文件。
- 跳过打磨。 不写测试，不做超出让原型_可运行_所需的错误处理，不引入抽象。重点是快速学到东西。
- 呈现状态。 每次操作后（logic）或每次切换变体时（UI），打印或渲染完整的相关状态，让用户看到发生了什么变化。
- 完成后归档。 把任何经过验证的决策融入真实代码，然后把原型本身作为 primary source（一手来源） 归档：把它提交到 main 之外的 throwaway 分支，并在实现 issue 上留下指向该分支的上下文指针。答案也要归档——结论以及它所解决的问题——记录在 issue 或某个 commit 中。main 分支只保留经过验证的决策。
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.
- yesterday First seen · 27 lines · 49 tokens per session scan A 10082ea84b3b
prototype-zh is a skill published in the GitHub repository gongyijie85/mattpocock-skills-dsh-zh (5 stars, last pushed 2d ago), licensed MIT. It adds 49 tokens to every session and 786 once invoked, about $0.0002 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 2026-09-11.
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