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pytorch-fsdp

pytorch-fsdp is a skill for Claude Code, Codex from itgoyo/hermes-skills. It costs 37 tokens per session (36,334 once invoked), scanned B, original, no licence file.

Technical guidance for PyTorch FSDP, which splits model parameters across devices during training so large models can be trained together.

In plain words
What is it for?
Use it to plan parameter sharding, mixed-precision training, CPU offloading, and FSDP2 setups.
Why use it?
It helps manage memory and training precision when a model is too large for one device.

Skill for Claude CodeCodex

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

not rated 79repo +4 6mo ago B scan 37 tokens no licence

Good fit Use it to plan parameter sharding, mixed-precision training, CPU offloading, and FSDP2 setups.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/itgoyo/hermes-skills/pytorch-fsdp
View source ↗ itgoyo/hermes-skills
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 itgoyo/hermes-skills --skill pytorch-fsdp
Clone the repo
git clone --depth 1 https://github.com/itgoyo/hermes-skills

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 pytorch-fsdp

README.md
[![agentmods](https://agentmods.dev/badge/skills/itgoyo/hermes-skills/pytorch-fsdp/github.svg)](https://agentmods.dev/skills/itgoyo/hermes-skills/pytorch-fsdp)
Your own site
<a href="https://agentmods.dev/skills/itgoyo/hermes-skills/pytorch-fsdp"><img src="https://agentmods.dev/badge/skills/itgoyo/hermes-skills/pytorch-fsdp/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 pytorch-fsdp

Your own site · 80×15
<a href="https://agentmods.dev/skills/itgoyo/hermes-skills/pytorch-fsdp"><img src="https://agentmods.dev/badge/skills/itgoyo/hermes-skills/pytorch-fsdp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 36,334 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00037 $0.36334
Opus 5.5 $0.00015 $0.14534
Sonnet 5.5 $0.00007 $0.07267
Haiku 4.5 $0.00004 $0.03633

Measured 2mo ago against content hash c24e9e5123da, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade B, and why

pytorch-fsdp scanned grade B with 1 finding 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.

Unrestricted tool accessmediumExcessive agency

A wildcard tool grant or "run any command" leaves no least-privilege boundary at all.

**Pattern 2:** Distributed communication package - torch.distributed# Created On: Jul 12, 2017 | Last Updated On: Sep 04, 2025 Note Please refer to PyTorch Distributed Overview for a brief introduction to all features re
mlops/training/pytorch-fsdp/SKILL.md · 130 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

Files

What ships with it

2 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 · 130 lines · 37 tokens per session scan B c24e9e5123da

Subscribe to this mod's changes

pytorch-fsdp is a skill published in the GitHub repository itgoyo/hermes-skills (79 stars, last pushed 6mo ago), with no licence file. It adds 37 tokens to every session and 36,334 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it B with 1 finding (unrestricted tool access). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

Data and AIScientific
Related

pytorch-fsdp compared with skills from other repositories

pytorch-fsdp next to 6 skills from other repositories
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pytorch-fsdpitgoyo/hermes-skillsSkill796mo agononeB37Claude Code, Codex
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deepspot-mK-Dense-AI/scientific-agent-skillsSkill56k4d agoMITA70Claude Code
torchdrugK-Dense-AI/scientific-agent-skillsSkill56k4d agoMITA64Claude Code
pyhealthK-Dense-AI/scientific-agent-skillsSkill56k4d agoMITA84Claude Code, Codex
nemo-mbridge-perf-expert-parallel-overlapNVIDIA/skillsSkill3.9kyesterdayApache-2.0A56Claude Code
ml-training-recipesOrchestra-Research/AI-Research-SKILLsSkill14k27d agoMITA88Claude Code