Borrowing it
Nothing to install: this file belongs to ProgrammerAnthony/Expert-Coding-Harness. 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/ProgrammerAnthony/Expert-Coding-Harness/master/.cursor/skills/prototype/SKILL.mdgit clone --depth 1 https://github.com/ProgrammerAnthony/Expert-Coding-HarnessWrote 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/programmeranthony/expert-coding-harness/prototype)<a href="https://agentmods.dev/skills/programmeranthony/expert-coding-harness/prototype"><img src="https://agentmods.dev/badge/skills/programmeranthony/expert-coding-harness/prototype/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/programmeranthony/expert-coding-harness/prototype"><img src="https://agentmods.dev/badge/skills/programmeranthony/expert-coding-harness/prototype.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 | $0.00092 | $0.00706 |
| Opus 5.5 | $0.00037 | $0.00282 |
| Sonnet 5.5 | $0.00018 | $0.00141 |
| Haiku 4.5 | $0.00009 | $0.00071 |
Grade A, and why
prototype 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 2mo 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
原型（Prototype）
原型是回答一个问题的一次性代码。问题决定形态，答完即删。
选分支
根据用户提示、周边代码、或直接询问来判断问题属于哪类：
- "这段逻辑/状态模型的设计感觉对吗？" → references/LOGIC.md。构建一个微型终端交互 App，手动驱动状态机穿越难以凭空推理的边界 Case。
- "这个界面应该长什么样？" → references/UI.md。在单个路由上生成几个差异显著的 UI 变体，通过浮动底栏切换。
分支错误会浪费整个原型。若问题确实模糊且用户不在线，则默认按周边代码选择（后端模块→逻辑；页面/组件→UI），并在原型顶部声明该假设。
两条分支通用规则
- 从第一天起就是一次性代码，且明确标记。 将原型代码放在它实际服务的模块或页面旁边，名称中包含
prototype以示一次性身份。 - 一条命令即可运行。 使用项目现有任务管理器（
pnpm <name>、python <path>等），用户不需要记路径。 - 默认不持久化。 状态存内存。若问题本身涉及数据库，使用临时 DB 或带有 "PROTOTYPE — wipe me" 标记的本地文件。
- 跳过打磨。 不写测试、不做错误处理（仅保留让原型能运行的最低限度）、不做抽象。目标是快速学到东西然后删掉它。
- 暴露状态。 每次操作后（逻辑）或每次切换变体后（UI），打印或渲染完整的相关状态。
- 完成后删除或吸收。 原型回答完问题后，要么删除，要么将经过验证的决策折叠进真实代码——不要让它在仓库里腐烂。
完成时
原型唯一值得保留的是答案。将其记录在某个持久化位置（commit message、ADR、issue，或原型旁边的 NOTES.md），连同它所回答的问题一并保存。若用户在场，几句对话即可；若不在，留好占位符供后续填写，然后删除原型。
详细指南
- 逻辑原型：references/LOGIC.md
- UI 原型：references/UI.md
What ships with it
2 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.
- 2mo ago First seen · 36 lines · 92 tokens per session scan A 4d9f6706d6f9
prototype is a skill published in the GitHub repository ProgrammerAnthony/Expert-Coding-Harness (248 stars, last pushed 5mo ago), licensed MIT. It adds 92 tokens to every session and 706 once invoked, about $0.0004 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 2026-08-30.
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