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 Lingtai-AI/lingtai --skill nvidiagit clone --depth 1 https://github.com/Lingtai-AI/lingtaiWrote 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/lingtai-ai/lingtai/nvidia)<a href="https://agentmods.dev/skills/lingtai-ai/lingtai/nvidia"><img src="https://agentmods.dev/badge/skills/lingtai-ai/lingtai/nvidia/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/lingtai-ai/lingtai/nvidia"><img src="https://agentmods.dev/badge/skills/lingtai-ai/lingtai/nvidia.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 | $0.00019 | $0.00833 |
| Opus 5 | $0.00010 | $0.00417 |
| Sonnet 5 | $0.00004 | $0.00167 |
| Haiku 4.5 | $0.00002 | $0.00083 |
Grade A, and why
preset-skill-nvidia 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
nvidia preset revision
Use this child for the named built-in nvidia preset. nvidiaPreset in tui/internal/preset/preset.go:1397 ships the bounded NVIDIA gateway snapshot nvidia/nemotron-3-ultra-550b-a55b, https://integrate.api.nvidia.com/v1, NVIDIA_API_KEY, OpenAI compatibility, web_search, and skills; it has no default vision capability. This is a gateway catalog, not a single NVIDIA model family.
Template-specific settings
Read the official NVIDIA API Catalog, model catalog, and NIM LLM API reference. Use the catalog's exact model slug and, for the selected account, query the authenticated OpenAI-compatible GET https://integrate.api.nvidia.com/v1/models when available. Check the model page for modality and tool support; a VLM in the gateway catalog does not automatically add this preset's vision key. Keep catalog slugs distinct from provider names and never copy a volatile catalog wholesale into the picker.
The curated picker is exactly the reviewed stable snapshot: Nemotron Ultra, Nemotron Super/Nano Omni, DeepSeek v4 pro/flash gateway slugs, Kimi K3, MiniMax M3, Mistral Nemotron, GPT-OSS 20B, and the Nemotron Ultra 253B entry. This is not an all-model universal generation ladder. The kernel's nvidia registration disables prompt_cache_key because NIM rejects that OpenAI-only field.
TUI surfaces to revise
Start at nvidiaPreset in tui/internal/preset/preset.go. Revise providerModels["nvidia"] in tui/internal/tui/preset_editor.go for the exact route-served snapshot. This target is unsupported by the universal two-generation JSON revision engine; maintain it as manual code curation. Do not add modelHasVision entries unless the TUI constructor also wires a verified vision route; recheck the constructor's absent vision capability and explicit base_url/env fields. Follow the gateway exemption and curation rules in tui/internal/tui/SKILL.md and tui/CONTRACT.md.
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 Changed · +39 lines · -1 tokens per session f4c665081a2e
- 10d ago First seen · 31 lines · 20 tokens per session scan A 56c5484d47b6
preset-skill-nvidia is a skill published in the GitHub repository Lingtai-AI/lingtai (670 stars, last pushed today), licensed Apache-2.0. It adds 19 tokens to every session and 833 once invoked, about $0.0001 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 2026-08-30.
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