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 blockmatic/basilic --skill use-v0git clone --depth 1 https://github.com/blockmatic/basilicWrote 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/blockmatic/basilic/use-v0)<a href="https://agentmods.dev/skills/blockmatic/basilic/use-v0"><img src="https://agentmods.dev/badge/skills/blockmatic/basilic/use-v0.svg" alt="Measured on agentmods" 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 | $0.00032 | $0.00410 |
| Opus 5 | $0.00016 | $0.00205 |
| Sonnet 5 | $0.00006 | $0.00082 |
| Haiku 4.5 | $0.00003 | $0.00041 |
Grade B, and why
use-v0 scanned grade B with 1 finding 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.
Asks the agent to reveal its instructionsmediumSystem prompt leakage
Directions to print, repeat or translate the system prompt extract configuration the operator did not intend to expose.
2. **Show prompt to user**: Display generated v0 prompt (plain text) with OPEN/EDIT/CANCEL instruction line, ask user to validate with single explicit choice: reply "OPEN" to open v0.dev, reply "EDIT:" followed by change What it actually says
Purpose
Generate high-quality v0.dev prompt based on current file, selection, and repository context. Follow validation workflow before opening v0.dev.
Steps
- Generate prompt: Analyze current file, selection, and repository context, include constraints: Next.js App Router, React + TypeScript, Tailwind CSS, shadcn/ui, Server Components by default, client components only when strictly necessary, accessible semantic HTML, mobile-first responsive layout, clean minimal production-ready design, no data fetching or mock APIs unless explicitly required, follow existing layout/spacing/component patterns, max 300 lines per file, max 1 react component per file
- Show prompt to user: Display generated v0 prompt (plain text) with OPEN/EDIT/CANCEL instruction line, ask user to validate with single explicit choice: reply "OPEN" to open v0.dev, reply "EDIT:" followed by changes to revise prompt, reply "CANCEL" to stop
- Handle user response: If user replies "EDIT:", revise prompt based on feedback and repeat validation steps (1–2), if user replies "CANCEL", stop process, if user replies "OPEN", proceed to next step
- Validate prompt: Before opening, ensure prompt is concise with no repo-internal paths/secrets/private tokens, prompt avoids irrelevant implementation details, URL-encoded prompt length within browser URL limits (if too long, ask user to shorten/scope it)
- Open v0.dev: URL-encode final approved prompt, open browser at
https://v0.dev?chat={url_encoded_prompt}, output only "Opened v0.dev" (do not output the URL)
Completion
Read completion evidence before reporting completion.
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 Changed · +7 lines 019fa6e84d36
- 5d ago First seen · 15 lines · 32 tokens per session scan B b34a6834e207
use-v0 is a skill published in the GitHub repository blockmatic/basilic (89 stars, last pushed 2d ago), licensed MIT. It adds 32 tokens to every session and 410 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 1 finding (asks the agent to reveal its instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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