What is exec-local-docker?

A procedure for running a TensorRT-LLM workload locally inside Docker. It starts the resolved container command, watches it, reads its logs, and reports the outcome.

Running tests, evaluations, benchmarks, or custom TensorRT-LLM scripts in a local Docker container.

It removes the need to manually launch, monitor, and inspect a containerized workload.

How NVIDIA/TensorRT-LLM configures Claude Code

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/exec-local-docker/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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/nvidia/tensorrt-llm/exec-local-docker/github.svg)](https://agentmods.dev/skills/nvidia/tensorrt-llm/exec-local-docker)

Your own site

<a href="https://agentmods.dev/skills/nvidia/tensorrt-llm/exec-local-docker"><img src="https://agentmods.dev/badge/skills/nvidia/tensorrt-llm/exec-local-docker/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/nvidia/tensorrt-llm/exec-local-docker"><img src="https://agentmods.dev/badge/skills/nvidia/tensorrt-llm/exec-local-docker.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 1,311 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.

Model	Per session	Once invoked
Fable 5.1	$0.00062	$0.01311
Opus 5.5	$0.00025	$0.00524
Sonnet 5.5	$0.00012	$0.00262
Haiku 4.5	$0.00006	$0.00131

Measured 7d ago against content hash b93b24cda32c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

exec-local-docker 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 7d 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.

.claude/skills/exec-local-docker/SKILL.md · 122 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.

7d ago Changed b93b24cda32c
2mo ago First seen · 122 lines · 62 tokens per session scan A e8dc49e640c5

Subscribe to this mod's changes

exec-local-docker is a skill published in the GitHub repository NVIDIA/TensorRT-LLM (15,021 stars, last pushed today), with no licence file. It adds 62 tokens to every session and 1,311 once invoked, about $0.0002 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.

Containers DevOps and cloud PyTorch blackwell cuda docker execution infrastructure llm-serving moe

exec-local-docker next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
exec-local-dockerNVIDIA/TensorRT-LLM	Skill	15k	today	none	A	62	Claude Code
tao-setup-nvidia-gpu-hostNVIDIA-TAO/tao-skill-bank	Skill	99	yesterday	Apache-2.0	B	177	Claude Code
safe_runisLinXu/crablet	Skill	54	2mo ago	MIT	A	11	Claude Code, Codex
gpu-server-setupEvilFreelancer/gpu-server-setup	Skill	15	5d ago	MIT	B	223	Claude Code
Docker Compose GeneratorNotysoty/openagentskills	Skill	9	2mo ago	MIT	A	17	Claude Code, Codex
docker-container-escapeShulkwiSEC/bb-huge	Skill	26	3mo ago	MIT	B	65	Claude Code, Codex
docker-expertpersonamanagmentlayer/pcl	Skill	44	11d ago	Apache-2.0	D	36	Claude Code

TensorRT-LLM: Skill for Claude Code