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/r13v/pi-feature-dev/prototypenpx skills add r13v/pi-feature-dev --skill prototypegit clone --depth 1 https://github.com/r13v/pi-feature-devWhat 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 | $0.00079 | $0.00752 |
| Opus 5 | $0.00039 | $0.00376 |
| Sonnet 5 | $0.00016 | $0.00150 |
| Haiku 4.5 | $0.00008 | $0.00075 |
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 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.
How it starts
The opening of the file, as written. The whole thing — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prototype
A prototype is disposable code that answers one question. The question determines the artifact.
Pick a branch
Identify the question from the user's request and the surrounding code. Then read the matching branch before writing code:
- "Does this logic or state model feel right?" → LOGIC.md. Build one shareable HTML file. Let a non-developer drive difficult cases with free-play actions and guided walkthroughs.
- "What should this look like?" → UI.md. Build several structurally different UI variants on one route. Make them switchable through a URL search parameter and a floating control.
The branches produce different artifacts. If the choice is genuinely ambiguous, ask one focused question. If interaction is unavailable, infer from the surrounding code: use Logic for a backend module and UI for a page or component. State the assumption in the prototype.
Define success before coding
State these points before you edit files:
- the single question;
- the evidence that will answer it;
- the shortest way to run or open the artifact;
- the production boundary that the prototype must not cross.
Stop expanding the prototype when it can answer the question. Do not turn it into an alternative implementation project.
Adapt to the current environment
- Follow project instructions, file layout, routing, framework, and styling conventions.
- Use only capabilities that the current agent environment provides.
- Open or render the prototype when a browser or preview tool is available. Otherwise, provide the exact file path, command, or route.
- Use the project's normal planning and progress mechanism when one exists. Otherwise, keep a short checklist in the conversation.
- Do not require Git, a hosted repository, an issue tracker, or an external service. Use them only when the current workflow already authorizes them.
Rules that apply to both
- Mark it as disposable. Put the prototype near the module or page it explores. Use
prototypein the file, route, or directory name. Follow existing routing conventions. - Make it easy to run. Prefer one existing project command for a UI prototype. Make a logic prototype a self-contained HTML file when possible.
- Keep state in memory by default. If the question requires persistence, use an isolated scratch store. Mark it clearly as disposable. Never use production data.
- Skip production polish. Add only the error handling needed to keep the prototype runnable. Do not add speculative abstractions or production tests for the disposable shell.
- Expose relevant state. After each logic action or UI variant switch, render the state that helps answer the question.
- Protect production behavior. Keep real mutations and production data outside the experiment. If the prototype uses an existing route, gate all prototype rendering so production ignores it.
- Hand over an exact entry point. Give the user the file path, command, route, and variant keys or scenarios. Open the artifact when the environment supports it.
- Record the answer. Record the question, verdict, and evidence in the current workflow. Preserve the prototype on a temporary branch or other archive only when requested or already authorized. Keep the main branch focused on the validated production decision.
What ships with it
3 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.
- yesterday First seen · 48 lines · 79 tokens per session scan A c06051e36999
prototype is a skill published in the GitHub repository r13v/pi-feature-dev (2 stars, last pushed 14d ago), licensed MIT. It adds 79 tokens to every session and 752 once invoked, about $0.0004 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 2026-08-31.
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