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.
npx skills add RedWoodOG/Hermes-Desktop --skill pytorch-fsdpgit clone --depth 1 https://github.com/RedWoodOG/Hermes-DesktopWrote 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.
[](https://agentmods.dev/skills/redwoodog/hermes-desktop/pytorch-fsdp)<a href="https://agentmods.dev/skills/redwoodog/hermes-desktop/pytorch-fsdp"><img src="https://agentmods.dev/badge/skills/redwoodog/hermes-desktop/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.
<a href="https://agentmods.dev/skills/redwoodog/hermes-desktop/pytorch-fsdp"><img src="https://agentmods.dev/badge/skills/redwoodog/hermes-desktop/pytorch-fsdp.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00037 | $0.36334 |
| Opus 5 | $0.00018 | $0.18167 |
| Sonnet 5 | $0.00007 | $0.07267 |
| Haiku 4.5 | $0.00004 | $0.03633 |
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 9d 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 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.
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.
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.
- 9d ago First seen · 130 lines · 37 tokens per session scan B c24e9e5123da
pytorch-fsdp is a skill published in the GitHub repository RedWoodOG/Hermes-Desktop (178 stars, last pushed 3mo ago), with no licence file. It adds 37 tokens to every session and 36,334 once invoked, about $0.0002 per session on Opus 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.
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