Waxell

skill

fine-tuning-serving-openpi Review findings

orchestra-researchorchestra-research/ai-research-skillsupdated

Browse GitHub Download zipBook a demo
Fine-tune and serve Physical Intelligence OpenPI models (pi0, pi0-fast, pi0.5) using JAX or PyTorch backends for robot policy inference across ALOHA, DROID, and LIBERO environments. Use when adapting pi0 models to custom datasets, converting JAX checkpoints to PyTorch, running policy inference servers, or debugging norm stats and GPU memory issues.
orchestra-research's own description, from the skill's files.
ResearchData & analyticsDocumentsskill
Stars
14,234
Version
v1
Copies
0
OverviewSecurity5Versions1

Overview

holdReview findings

Waxell's checks found 5 findings to review, highest severity high.

Highest severity
high
Findings
5
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 5 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 (5)

high · 5

  • high

    Tells Claude to install unpinned packages (openpi-client, git+https://github.com/Physical-Intelligence/openpi.git)

    SKILL.md:338 · skill_risk:S2

  • high

    Tells Claude to install unpinned packages (pytest, robosuite==1.4.0, gym, bddl, easydict, matplotlib)

    SKILL.md:411 · skill_risk:S2

  • high

    Tells Claude to install unpinned packages (gsutil)

    SKILL.md:429 · skill_risk:S2

  • high

    Tells Claude to install unpinned packages (gsutil)

    references/checkpoints-and-env-map.md:52 · skill_risk:S2

  • high

    Tells Claude to install unpinned packages (pytest, robosuite==1.4.0, gym, bddl, easydict, matplotlib)

    references/checkpoints-and-env-map.md:82 · 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.

See and control which skills your people use

Inside your organization, Waxell scans each skill and plugin before anyone installs it, approves what passes and publishes it to a private marketplace, and puts every MCP tool call behind one governed URL.

Book a demo

30 minutes. No commitment.

SOC 2 Type II attested · ISO/IEC 27001:2022 certified · HIPAA with a BAA · aligned to the EU AI Act and NIST AI RMF

More research skills and plugins

See all