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 astordu/qoderharness --skill prototypegit clone --depth 1 https://github.com/astordu/qoderharnessWrote 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/astordu/qoderharness/prototype)<a href="https://agentmods.dev/skills/astordu/qoderharness/prototype"><img src="https://agentmods.dev/badge/skills/astordu/qoderharness/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/astordu/qoderharness/prototype"><img src="https://agentmods.dev/badge/skills/astordu/qoderharness/prototype.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 | $0.00049 | $0.00761 |
| Opus 5.5 | $0.00020 | $0.00304 |
| Sonnet 5.5 | $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 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.
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.
- 1mo ago First seen · 27 lines · 49 tokens per session scan A 50a6065e71f7
prototype is a skill published in the GitHub repository astordu/qoderharness (38 stars, last pushed 23d ago), licensed MIT. It adds 49 tokens to every session and 761 once invoked, about $0.0002 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.
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 $ultragoal with built-in visual verdict and pixel-diff evidence until the implementation matches and leaves a reproducible design system.
glance-canonical-layouts
Use this skill to create home screen widgets using Jetpack Glance Canonical Layouts from the Android Platform Samples project, or when asked to implement standard widget layout patterns (including Check List, Image Grid, Snap Scrolling, and Standard Toolbar).
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.