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trtllm-modeling-v2-entry

trtllm-modeling-v2-entry is a skill for Claude Code, Codex from NVIDIA/TensorRT-LLM. It costs 76 tokens per session (1,658 once invoked), scanned A, original, no licence file.

A specialised preparation guide for TensorRT-LLM ModelingV2 catalogue entries, called OpWrappers, and their GPU tests. TensorRT-LLM is software for running large language models efficiently on NVIDIA GPUs.

In plain words
What is it for?
Use it before implementing, modifying, or certifying a ModelingV2 OpWrapper or its GPU test. It is not intended for catalogue discovery, unchanged target assembly, model-level checks, or tuning.
Why use it?
It sets the required context before changing or certifying these specific model components and helps account for different shapes, data types, GPU architectures, and local targets.

Skill for Claude CodeCodex ✓ vendor

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

not rated 15krepo +41 today A scan 76 tokens custom licence

Good fit Use it before implementing, modifying, or certifying a ModelingV2 OpWrapper or its GPU test. It is not intended for catalogue discovery, unchanged target assembly, model-level checks, or tuning.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nvidia/tensorrt-llm/trtllm-modeling-v2-entry
View source ↗ NVIDIA/TensorRT-LLM nvidia.github.io
Install

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.

Any agent
npx skills add NVIDIA/TensorRT-LLM --skill trtllm-modeling-v2-entry
Clone the repo
git clone --depth 1 https://github.com/NVIDIA/TensorRT-LLM

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for trtllm-modeling-v2-entry

README.md
[![agentmods](https://agentmods.dev/badge/skills/nvidia/tensorrt-llm/trtllm-modeling-v2-entry/github.svg)](https://agentmods.dev/skills/nvidia/tensorrt-llm/trtllm-modeling-v2-entry)
Your own site
<a href="https://agentmods.dev/skills/nvidia/tensorrt-llm/trtllm-modeling-v2-entry"><img src="https://agentmods.dev/badge/skills/nvidia/tensorrt-llm/trtllm-modeling-v2-entry/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.

agentmods 80×15 button for trtllm-modeling-v2-entry

Your own site · 80×15
<a href="https://agentmods.dev/skills/nvidia/tensorrt-llm/trtllm-modeling-v2-entry"><img src="https://agentmods.dev/badge/skills/nvidia/tensorrt-llm/trtllm-modeling-v2-entry.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 76 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,658 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00076 $0.01658
Opus 5.5 $0.00030 $0.00663
Sonnet 5.5 $0.00015 $0.00332
Haiku 4.5 $0.00008 $0.00166

Measured 3d ago against content hash 3f34148453f8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

trtllm-modeling-v2-entry 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 3d 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.

agent-flow/agent_flow/workflows/trtllm_modeling_v2/agents/skills/trtllm-modeling-v2-entry/SKILL.md · 110 lines

The source is not reproduced here

A licence we could not identify

The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.

Read it on GitHub

Changes

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.

  1. 3d ago First seen · 110 lines · 76 tokens per session scan A 3f34148453f8

Subscribe to this mod's changes

trtllm-modeling-v2-entry is a skill published in the GitHub repository NVIDIA/TensorRT-LLM (15,021 stars, last pushed today), with no licence file. It adds 76 tokens to every session and 1,658 once invoked, about $0.0003 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 2026-11-03.

Data and AIPyTorchTestingblackwellcudallm-servingmoe
Related

trtllm-modeling-v2-entry compared with skills from other repositories

trtllm-modeling-v2-entry next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
trtllm-modeling-v2-entryNVIDIA/TensorRT-LLMSkill15ktodaynoneA76Claude Code, Codex
sglang-diffusion-performancesgl-project/sglangSkill39ktodayApache-2.0A29Claude Code, Codex
sglang-diffusion-add-modelsgl-project/sglangSkill39ktodayApache-2.0A24Claude Code, Codex
sglang-diffusion-cache-ditsgl-project/sglangSkill39ktodayApache-2.0A161Claude Code
sglang-diffusion-modelopt-quantsgl-project/sglangSkill39ktodayApache-2.0A49Claude Code, Codex
next_cutedsl_megamoeflashinfer-ai/flashinferSkill6.9ktodayApache-2.0A0Claude Code, Codex
submit-github-bug-issueNVIDIA/TensorRT-Model-ConnectSkill289todayApache-2.0A82Codex