TensorRT-LLM: Skill for Claude Code

.claude/skills/exec-local-slurm/SKILL.md

exec-local-slurm is a skill for Claude Code from NVIDIA/TensorRT-LLM. It costs 119 tokens per session (5,190 once invoked), scanned A, original, no licence file.

A procedure for submitting and monitoring jobs on a local SLURM cluster. It supports a persistent allocation that can be reused and a one-time batch submission.

In plain words
What is it for?
Allocating local cluster nodes, importing containers, installing dependencies, and running SLURM batch scripts.
Why use it?
It reduces repeated setup when running multiple jobs and provides a way to track scheduled work.

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 →

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-slurm/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 exec-local-slurm

README.md
[![agentmods](https://agentmods.dev/badge/skills/nvidia/tensorrt-llm/exec-local-slurm/github.svg)](https://agentmods.dev/skills/nvidia/tensorrt-llm/exec-local-slurm)
Your own site
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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 exec-local-slurm

Your own site · 80×15
<a href="https://agentmods.dev/skills/nvidia/tensorrt-llm/exec-local-slurm"><img src="https://agentmods.dev/badge/skills/nvidia/tensorrt-llm/exec-local-slurm.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 119 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,190 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 warn 7 Sept 2026
SkillSpector: 6 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Memory Poisoning · line 91
    Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.
    Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
  • high Memory Poisoning · line 92
    Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.
    Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
  • high Memory Poisoning · line 422
    Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.
    Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
  • high Memory Poisoning · line 423
    Skill manipulates agent memory, state, or stored context. Memory corruption can alter personality, override safety rules, or cause unpredictable behavior.
    Fix: Protect agent memory and state from modification by untrusted content. Use read-only memory for critical instructions and validate all state changes.
  • medium Rogue Agent · line 5
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
  • medium Rogue Agent · line 121
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 $0.00119 $0.05190
Opus 5.5 $0.00048 $0.02076
Sonnet 5.5 $0.00024 $0.01038
Haiku 4.5 $0.00012 $0.00519

Measured 7d ago against content hash 91e20416de37, 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-slurm 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-slurm/SKILL.md · 444 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. 7d ago Changed 91e20416de37
  2. 2mo ago First seen · 444 lines · 119 tokens per session scan A 0189bcfff2fa

Subscribe to this mod's changes

exec-local-slurm is a skill published in the GitHub repository NVIDIA/TensorRT-LLM (15,021 stars, last pushed today), with no licence file. It adds 119 tokens to every session and 5,190 once invoked, about $0.0005 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.

Related

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exec-local-slurm next to 6 skills from other repositories
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exec-local-slurmNVIDIA/TensorRT-LLMSkill15ktodaynoneA119Claude Code
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sglang-diffusion-performancesgl-project/sglangSkill39ktodayApache-2.0A29Claude Code, Codex
sglang-diffusion-add-modelsgl-project/sglangSkill39ktodayApache-2.0A24Claude Code, Codex
sglang-diffusion-modelopt-quantsgl-project/sglangSkill39ktodayApache-2.0A49Claude Code, Codex
sglang-diffusion-benchmark-profilesgl-project/sglangSkill39ktodayApache-2.0A26Claude Code, Codex