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skill

pytorch-lightning Review findings

orchestra-researchorchestra-research/ai-research-skillsupdated

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High-level PyTorch framework with Trainer class, automatic distributed training (DDP/FSDP/DeepSpeed), callbacks system, and minimal boilerplate. Scales from laptop to supercomputer with same code. Use when you want clean training loops with built-in best practices.
orchestra-research's own description, from the skill's files.
ResearchEngineeringAI & agentsskill
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v1
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0
OverviewSecurity6Versions1

Overview

holdReview findings

Waxell's checks found 6 findings to review, highest severity high.

Highest severity
high
Findings
6
What ran
Static analysis

A clean result means nothing alarming in what is published, not a guarantee. How the checks work

We don't republish the skill's instructions. Read them on GitHub at the reviewed commit.

Security

Security scan

Checked 2 days ago

Result

Review findings Waxell's checks found 6 findings to review, highest severity high.

Checked with static analysis: servers it launches, packages it installs at runtime, scripts piped to a shell and bundled binaries. Nothing was run. How the checks work

Findings (6)

high · 6

  • high

    Tells Claude to install unpinned packages (lightning)

    SKILL.md:19 · skill_risk:S2

  • high

    Tells Claude to install unpinned packages (lightning)

    references/hyperparameter-tuning.md:12 · skill_risk:S2

  • high

    Tells Claude to install unpinned packages (optuna)

    references/hyperparameter-tuning.md:102 · skill_risk:S2

  • high

    Tells Claude to install unpinned packages (optuna-integration)

    references/hyperparameter-tuning.md:103 · skill_risk:S2

  • high

    Tells Claude to install unpinned packages (wandb)

    references/hyperparameter-tuning.md:179 · skill_risk:S2

  • high

    Tells Claude to install unpinned packages (hyperopt)

    references/hyperparameter-tuning.md:251 · skill_risk:S2

Versions

Version history

Each distinct content we have seen, newest first, with the verdict it got at the time.

One version so far: v1 (1.0.0), seen 2026-11-03.

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