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 IvanTsxx/AI-Nextjs-Monorepo-Starter --skill opentuigit clone --depth 1 https://github.com/IvanTsxx/AI-Nextjs-Monorepo-StarterWrote 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/ivantsxx/ai-nextjs-monorepo-starter/opentui)<a href="https://agentmods.dev/skills/ivantsxx/ai-nextjs-monorepo-starter/opentui"><img src="https://agentmods.dev/badge/skills/ivantsxx/ai-nextjs-monorepo-starter/opentui/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/ivantsxx/ai-nextjs-monorepo-starter/opentui"><img src="https://agentmods.dev/badge/skills/ivantsxx/ai-nextjs-monorepo-starter/opentui.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 | $0.00051 | $0.01829 |
| Opus 5 | $0.00026 | $0.00915 |
| Sonnet 5 | $0.00010 | $0.00366 |
| Haiku 4.5 | $0.00005 | $0.00183 |
Grade A, and why
opentui 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 12d 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.
The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
25 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.
- references/animation/REFERENCE.md 8.7 KB
- references/components/code-diff.md 8.4 KB
- references/components/containers.md 6.7 KB
- references/components/inputs.md 10 KB
- references/components/REFERENCE.md 4.3 KB
- references/components/text-display.md 7.2 KB
- references/core/api.md 13 KB
- references/core/configuration.md 4.9 KB
- references/core/gotchas.md 7.5 KB
- references/core/patterns.md 8.7 KB
- references/core/REFERENCE.md 4.5 KB
- references/keyboard/REFERENCE.md 10 KB
- references/layout/patterns.md 8.3 KB
- references/layout/REFERENCE.md 6.0 KB
- references/react/api.md 8.4 KB
- references/react/configuration.md 5.8 KB
- references/react/gotchas.md 8.3 KB
- references/react/patterns.md 9.6 KB
- references/react/REFERENCE.md 4.5 KB
- references/solid/api.md 9.9 KB
- references/solid/configuration.md 5.6 KB
- references/solid/gotchas.md 7.4 KB
- references/solid/patterns.md 11 KB
- references/solid/REFERENCE.md 5.1 KB
- references/testing/REFERENCE.md 13 KB
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.
- 12d ago First seen · 202 lines · 51 tokens per session scan A 566f8a432790
opentui is a skill published in the GitHub repository IvanTsxx/AI-Nextjs-Monorepo-Starter (4 stars, last pushed 6mo ago), with no licence file. It adds 51 tokens to every session and 1,829 once invoked, about $0.0003 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.
Other skills, from other repositories
nextjs-app-router
Full end-to-end tRPC setup for Next.js App Router. Covers route handler with fetchRequestHandler (GET + POST exports), TRPCProvider with QueryClientProvider, createTRPCOptionsProxy for RSC prefetching, HydrateClient/HydrationBoundary for hydration, useSuspenseQuery for Suspense, and server-side callers.
nextjs-pages-router
Set up tRPC in Next.js Pages Router with createNextApiHandler, createTRPCNext, withTRPC HOC, SSR via ssr option and ssrPrepass, SSG via createServerSideHelpers with getStaticProps, and server-side helpers for getServerSideProps prefetching.
react-query-setup
Set up @trpc/tanstack-react-query with createTRPCContext(), TRPCProvider, useTRPC() hook, queryOptions/mutationOptions factories, query invalidation via queryClient.invalidateQueries with queryFilter, and type inference with inferInput/inferOutput.
react-query-classic-migration
Migrate from @trpc/react-query (classic) to @trpc/tanstack-react-query. Run npx @trpc/upgrade CLI for automated codemod. Manually migrate remaining patterns: hook-based to options-factory, utils.invalidate to queryClient.invalidateQueries with queryFilter, provider changes.
react-hook-form
React Hook Form performance optimization for client-side form validation using useForm, useWatch, useController, useFieldArray, and the v7.55+ subscribe() API. This skill should be used when building client-side controlled forms with React Hook Form library. This skill does NOT cover React 19 Server Actions…
nextjs-dashboard
Next.js 15+ App Router dashboard skill — server/client components, mobile nav, polling, data tables, skeleton states, and production-grade dashboard UX patterns.