pytorch-build-resolver

A specialist agent for diagnosing PyTorch runtime, CUDA, and model-training errors. PyTorch is a machine-learning framework, and CUDA lets it use NVIDIA GPUs.

In plain words
What is it for?
Use it when PyTorch training or inference crashes because of tensor shapes, devices, gradients, data loading, or mixed precision.
Why use it?
It targets common failures such as incompatible tensor shapes, device errors, gradient problems, DataLoader issues, and mixed-precision failures while aiming to limit code changes.

Agent

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.

agentmods
npx agentmods add agents/arbisoft/ai-skillforge/pytorch-build-resolver
Clone the repo
git clone --depth 1 https://github.com/arbisoft/ai-skillforge
Per session 52 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,335 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00052 $0.01335
Opus 5 $0.00026 $0.00668
Sonnet 5 $0.00010 $0.00267
Haiku 4.5 $0.00005 $0.00134

Measured 2d ago against content hash 7ac671d451e7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

pytorch-build-resolver 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 2d 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/agents/pytorch-build-resolver.md · 121 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

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. 2d ago First seen · 121 lines · 52 tokens per session scan A 7ac671d451e7

Subscribe to this mod's changes

pytorch-build-resolver is an agent published in the GitHub repository arbisoft/ai-skillforge (4 stars, last pushed 19d ago), with no licence file. It adds 52 tokens to every session and 1,335 once invoked, about $0.0003 per session on Opus 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 2026-08-31.