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 agentmods add skills/astordu/qoderharness/prototypenpx skills add astordu/qoderharness --skill prototypegit clone --depth 1 https://github.com/astordu/qoderharnessWhat 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 | $0.00049 | $0.00761 |
| Opus 5 | $0.00024 | $0.00380 |
| Sonnet 5 | $0.00010 | $0.00152 |
| Haiku 4.5 | $0.00005 | $0.00076 |
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 2d 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 用来回答一个问题的、用完即弃的代码。问题决定了它的形态。
选择一个分支
弄清楚正在回答的是哪个问题——从用户的提示、周围的代码，或者在用户在场时直接问：
- "这个逻辑 / 状态模型感觉对路吗？" → LOGIC.md。构建一个小巧的交互式终端应用，把状态机推过那些在纸面上难以推演的情形。
- "这东西应该长什么样？" → UI.md。在单个路由上生成若干个彻底不同的 UI 变体，通过一个 URL 查询参数和一个浮动的底部栏来切换。
这两个分支产出的产物截然不同——搞错了会浪费整个原型。如果问题确实含糊、又联系不上用户，就默认选择与周围代码更匹配的那个分支（后端模块 → 逻辑；页面或组件 → UI），并在原型顶部注明这个假设。
两个分支都适用的规则
- 从第一天起就用完即弃，并明确标注为如此。 把原型代码放在它将实际被使用的地方附近（紧挨着它所要原型化的那个模块或页面），这样上下文一目了然——但要为它取名，让随手翻看的读者一眼就能看出这是原型，而非生产代码。对于用完即弃的 UI 路由，遵循项目已有的路由约定；不要发明新的顶层结构。
- 一条命令即可运行。 无论项目现有的任务运行器支持什么——
pnpm <name>、python <path>、bun <path>等等。用户不用动脑子就能启动它。 - 默认不做持久化。 状态放在内存里。持久化正是原型要 检验 的东西，而不应是它所依赖的东西。如果问题明确涉及数据库，就打一个临时数据库，或者用一个名字清晰标为 "PROTOTYPE — wipe me" 的本地文件。
- 跳过打磨。 没有测试，除了让原型 能跑 之外没有错误处理，没有抽象。目的是快速学到东西。
- 把状态暴露出来。 每次操作后（逻辑）或每次切换变体时（UI），打印或渲染完整的相关状态，让用户看清变了什么。
- 完成后把它归档保存。 把任何已验证的决策折叠进真实代码，然后把原型本身作为 一手资料（primary source） 保存下来：把它提交到一个用完即弃的分支上、不进主干，并在实现 issue 上留一个指向该分支的上下文指针。也把答案保存下来——结论以及它所解决的问题——记在 issue 或提交里。主干只保留经过验证的决策。
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.
- 2d ago First seen · 27 lines · 49 tokens per session scan A 50a6065e71f7
prototype is a skill published in the GitHub repository astordu/qoderharness (21 stars, last pushed 6d ago), licensed MIT. It adds 49 tokens to every session and 761 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 2026-08-30.
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