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Official-source-led manual for the TUI `nvidia` template.
Passed 20 of 23 test cases with the skill, and 3 of 23 without it.
and 22 more in the full report
18 fixed3 passed either way3 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 17 test cases the skill fixed. Same model, same prompt, with and without the skill.
In addition to `tui/internal/preset/preset.go`, which specific Go source file contains the `providerModels["nvidia"]` map that needs to be updated for route-served model snapshots?
| Checked | Without skill | With skill |
|---|---|---|
| Identifies tui/internal/tui/preset_editor.go as the target file containing providerModels["nvidia"]MAP. | Missed | Passed |
The instructions your model reads when the skill loads.
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.
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.
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.
Prepare an evidence-bound manifest and explicit input, then run
test cases passed, vs 3 / 23 without
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