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tilegym-monkey-patch-kernels-to-transformers

tilegym-monkey-patch-kernels-to-transformers is a skill for Claude Code, Codex from NVIDIA/TileGym. It costs 78 tokens per session (655 once invoked), scanned A, original, no licence file.

A guide for connecting TileGym's cuTile GPU kernels to Hugging Face Transformers models. A model is a machine-learning program, and a kernel is a low-level calculation it uses.

In plain words
What is it for?
Use it when integrating TileGym kernels into Transformers model components, including their setup, forward pass, or weight-loading code.
Why use it?
It describes how to replace selected Transformers implementations and prepare them before a model is created, reducing integration errors.

Skill for Claude CodeCodex ✓ vendor

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

not rated 834repo +2 yesterday A scan SkillSpector: pass 78 tokens custom licence

Good fit Use it when integrating TileGym kernels into Transformers model components, including their setup, forward pass, or weight-loading code.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/nvidia/tilegym/tilegym-monkey-patch-kernels-to-transformers
View source ↗ NVIDIA/TileGym
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/TileGym --skill tilegym-monkey-patch-kernels-to-transformers
Clone the repo
git clone --depth 1 https://github.com/NVIDIA/TileGym

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 tilegym-monkey-patch-kernels-to-transformers

README.md
[![agentmods](https://agentmods.dev/badge/skills/nvidia/tilegym/tilegym-monkey-patch-kernels-to-transformers/github.svg)](https://agentmods.dev/skills/nvidia/tilegym/tilegym-monkey-patch-kernels-to-transformers)
Your own site
<a href="https://agentmods.dev/skills/nvidia/tilegym/tilegym-monkey-patch-kernels-to-transformers"><img src="https://agentmods.dev/badge/skills/nvidia/tilegym/tilegym-monkey-patch-kernels-to-transformers/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 tilegym-monkey-patch-kernels-to-transformers

Your own site · 80×15
<a href="https://agentmods.dev/skills/nvidia/tilegym/tilegym-monkey-patch-kernels-to-transformers"><img src="https://agentmods.dev/badge/skills/nvidia/tilegym/tilegym-monkey-patch-kernels-to-transformers.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 78 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 655 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 $0.00078 $0.00655
Opus 5.5 $0.00031 $0.00262
Sonnet 5.5 $0.00016 $0.00131
Haiku 4.5 $0.00008 $0.00065

Measured 2mo ago against content hash de7a00ee69c8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

tilegym-monkey-patch-kernels-to-transformers 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 2mo 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.

skills/tilegym-monkey-patch-kernels-to-transformers/SKILL.md · 39 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

9 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. 2mo ago First seen · 39 lines · 78 tokens per session scan A de7a00ee69c8

Subscribe to this mod's changes

tilegym-monkey-patch-kernels-to-transformers is a skill published in the GitHub repository NVIDIA/TileGym (834 stars, last pushed yesterday), with no licence file. It adds 78 tokens to every session and 655 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 2026-08-30.

Data and AI
Related

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tilegym-monkey-patch-kernels-to-transformers next to 6 skills from other repositories
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