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 vivekkachhadiyatech/skills --skill prototypegit clone --depth 1 https://github.com/vivekkachhadiyatech/skillsWrote 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/vivekkachhadiyatech/skills/prototype)<a href="https://agentmods.dev/skills/vivekkachhadiyatech/skills/prototype"><img src="https://agentmods.dev/badge/skills/vivekkachhadiyatech/skills/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/vivekkachhadiyatech/skills/prototype"><img src="https://agentmods.dev/badge/skills/vivekkachhadiyatech/skills/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 | $0.00052 | $0.00467 |
| Opus 5.5 | $0.00021 | $0.00187 |
| Sonnet 5.5 | $0.00010 | $0.00093 |
| Haiku 4.5 | $0.00005 | $0.00047 |
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
Read ../knowledge/testing-methods.md § Prototyping fidelity ladder before producing output.
Step 1 — Identify the question
Determine what design question the prototype must answer:
- Concept / flow validity → paper
- IA / navigation → wireframe
- Visual design / motion → hi-fi
- Interaction edge cases / real data / handoff → coded
If the question is ambiguous, ask: "What specific design question does this prototype need to answer?"
Step 2 — Select fidelity
Apply the fidelity ladder. Pick the lowest rung that answers the question. State the chosen fidelity and why.
Check for mismatch signals (listed in testing-methods.md) and flag if the requester has pre-selected a fidelity that is higher or lower than the question warrants.
Step 3 — Produce the artifact brief
For the selected fidelity, produce a brief that contains:
| Field | Content |
|---|---|
| Fidelity | paper / wireframe / hi-fi / coded |
| Question answered | One sentence |
| Scope | Screens or flows included |
| Out of scope | What is explicitly excluded |
| Key decisions to test | 2–4 specific hypotheses or design decisions |
| Success signal | How you'll know the prototype answered the question |
For paper: produce a screen-by-screen sketch description (words only — describe layout, key elements, and user actions).
For wireframe: produce annotated wireframe descriptions: element, purpose, and interaction note per screen.
For hi-fi: produce a component and token list, interaction spec, and motion notes (if any).
For coded: produce an implementation checklist: components to build, data fixtures needed, edge cases to exercise, acceptance criteria.
Step 4 — State the next rung
End with one line: "Next rung: [fidelity] — when [condition that would justify upgrading]."
If already at coded, state: "No higher rung — verify with verify skill on the live URL."
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 · 51 lines · 52 tokens per session scan A 2f54e7f40b01
prototype is a skill published in the GitHub repository vivekkachhadiyatech/skills (2 stars, last pushed 3mo ago), licensed MIT. It adds 52 tokens to every session and 467 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 2026-08-31.
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