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TensorRT-LLM: Skill for Claude Code

.claude/skills/perf-host-analysis/SKILL.md

perf-host-analysis is a skill for Claude Code from NVIDIA/TensorRT-LLM. It costs 171 tokens per session (3,940 once invoked), scanned A, original, no licence file.

A guide for analyzing CPU and other host-side overhead in TensorRT-LLM from Nsight Systems traces. A trace is a recorded timeline showing what the CPU and GPU were doing.

In plain words
What is it for?
Use it to analyze nsys traces, measure GPU idle and host-preparation ratios, compare host operations across versions, and investigate forward-step regressions.
Why use it?
It helps determine whether CPU preparation is causing GPU idle time and isolate the operations or phases responsible, including regressions between versions.

Skill for Claude Code ✓ vendor

Written for Claude Code: installed under .claude/.

This is NVIDIA/TensorRT-LLM's own configuration. It tells Claude Code how to work on TensorRT-LLM itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything TensorRT-LLM configures →

not rated 15krepo +41 changed 17d ago A scan SkillSpector: pass 171 tokens custom licence
View source ↗ NVIDIA/TensorRT-LLM nvidia.github.io
Reuse

Borrowing it

Nothing to install: this file belongs to NVIDIA/TensorRT-LLM. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/NVIDIA/TensorRT-LLM/main/.claude/skills/perf-host-analysis/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/NVIDIA/TensorRT-LLM

Made for: Claude Code.

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 perf-host-analysis

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/nvidia/tensorrt-llm/perf-host-analysis"><img src="https://agentmods.dev/badge/skills/nvidia/tensorrt-llm/perf-host-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 171 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,940 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00171 $0.03940
Opus 5.5 $0.00068 $0.01576
Sonnet 5.5 $0.00034 $0.00788
Haiku 4.5 $0.00017 $0.00394

Measured 17d ago against content hash d163b0d34500, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

perf-host-analysis 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 17d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/analyze_host_overhead.py, scripts/detect_host_overhead.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

.claude/skills/perf-host-analysis/SKILL.md · 353 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

Files

What ships with it

11 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.

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. 17d ago Changed d163b0d34500
  2. 2mo ago First seen · 353 lines · 171 tokens per session scan A 3d67ec228375

Subscribe to this mod's changes

perf-host-analysis is a skill published in the GitHub repository NVIDIA/TensorRT-LLM (15,021 stars, last pushed today), with no licence file. It adds 171 tokens to every session and 3,940 once invoked, about $0.0007 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 2026-08-30.

Analytics and metricsDebuggingPyTorchanalysisblackwellcudahost-overheadinferencellm-servingmoensysprofiling
Related

perf-host-analysis compared with skills from other repositories

perf-host-analysis next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
perf-host-analysisNVIDIA/TensorRT-LLMSkill15ktodaynoneA171Claude Code
perf-host-analysisSaddss/cursor-skillsSkill21mo agononeA202Claude Code, Codex
perf-host-analysiswenyi-li/awesome-agent-kernel-skillsSkill105mo agononeA171Claude Code, Codex
sglang-diffusion-benchmark-profilesgl-project/sglangSkill39ktodayApache-2.0A26Claude 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