Agent skill

Phyai Local Env Report

by mingti-org in mingti-org/phyai

Generate a local phyai environment report for debugging system, Python, CUDA/GPU, dependency, workspace package, git, and PHYAI configuration issues.

MITAuto-check passedDevelopment

Install Phyai Local Env Report

skills CLI
$ npx skills add mingti-org/phyai --skill phyai-local-env-report -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install mingti-org/phyai phyai-local-env-report --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/mingti-org/phyai.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/phyai-local-env-report .claude/skills/phyai-local-env-report && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
phyai-local-env-report
GitHub stars
130
Token cost
~590 tokens
SKILL.md length
228 words
Files
2 (incl. scripts)
Skills in repo
5
Repo updated
First seen
Licence
MIT

At a glance

Generate a local phyai environment report for debugging system, Python, CUDA/GPU, dependency, workspace package, git, and PHYAI configuration issues.

  • Works in 4 steps: Run the script from the phyai repository… → Share the report path when --output is… → For installation/CUDA failures, look… → …
  • Asked to inspect
  • SKILL.md covers Quick Start, Workflow, Script Options and Report Coverage
  • Runs Python scripts from its folder; calls uv and python

What it does

Phyai Local Env Report is an agent skill from mingti-org/phyai. Generate a local phyai environment report for debugging system, Python, CUDA/GPU, dependency, workspace package, git, and PHYAI configuration issues. Use when asked to inspect, summarize, export, or diagnose the current phyai development/runtime environment.

Its SKILL.md is about 590 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/collect_env_report.py`).

It sits in Development. It works with CUDA, Python and Git. The repository describes itself as: PhyAI is a high-performance framework for running Physical AI models (VLA, WAM, and beyond), supporting both cloud-based serving and on-device deployment. The licence is MIT.

When your agent uses it

  • Asked to inspect
  • Diagnose the current phyai development/runtime environment

Example prompts

  • “/phyai-local-env-report”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Run the script from the phyai repository root unless the user explicitly
  2. Share the report path when --output is used, or summarize the most relevant
  3. For installation/CUDA failures, look first at
  4. Do not install packages, mutate the repo, or run heavyweight builds just to

What it can do on your machine

Read from SKILL.md and the folder at commit 36a46bf. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • uv
    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Phyai Local Env Report loads about 590 tokens when it runs. Until then it costs about 71 tokens; SKILL.md has 228 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~71
When it runs · the whole SKILL.md, loaded when a task matches
~590

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from mingti-org/phyai at commit 36a46bf, republished under its MIT licence (© mingti-org). 228 words, ~590 tokens.

Download SKILL.mdSave it as .claude/skills/phyai-local-env-report/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
phyai-local-env-report
description
Generate a local phyai environment report for debugging system, Python, CUDA/GPU, dependency, workspace package, git, and PHYAI_* configuration issues. Use when asked to inspect, summarize, export, or diagnose the current phyai development/runtime environment.

phyai Local Environment Report

Use this skill to produce a reproducible local environment report for the phyai monorepo. Prefer the bundled script over ad hoc command collection.

Quick Start

From the repository root:

bash
uv run python .claude/skills/phyai-local-env-report/scripts/collect_env_report.py

To save a report:

bash
uv run python .claude/skills/phyai-local-env-report/scripts/collect_env_report.py --output reports/local-env.md

If uv is unavailable, run the same script with the active Python:

bash
python .claude/skills/phyai-local-env-report/scripts/collect_env_report.py

Workflow

  1. Run the script from the phyai repository root unless the user explicitly names another checkout.
  2. Share the report path when --output is used, or summarize the most relevant findings from stdout.
  3. For installation/CUDA failures, look first at:
    • Diagnostics
    • CUDA / GPU
    • Python Packages
    • phyai Runtime Environment
  4. Do not install packages, mutate the repo, or run heavyweight builds just to create the report unless the user explicitly asks.

Script Options

bash
uv run python .claude/skills/phyai-local-env-report/scripts/collect_env_report.py --help

Common options:

  • --output PATH: write the Markdown or JSON report to a file.
  • --format markdown|json: choose the output format; Markdown is default.
  • --no-gpu-detail: skip slower GPU detail commands such as nvidia-smi topo -m.

Report Coverage

The script captures:

  • host, OS, Python executable/version, and key tool paths;
  • uv workspace package versions and import status for phyai packages;
  • selected Python package versions relevant to phyai, CUDA, kernels, and models;
  • CUDA toolkit/runtime hints, Torch CUDA state, GPUs, driver data, and topology;
  • registered PHYAI_* env vars from phyai.env plus extra process-level PHYAI_* variables used elsewhere in the codebase;
  • git branch, commit, and dirty state;
  • existing phyai-kernel show-env output when available.

© mingti-org, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file (scripts) in .claude/skills/phyai-local-env-report of mingti-org/phyai.

  • SKILL.md
  • scripts/collect_env_report.py

Open the folder on GitHubat commit 36a46bf

Compare with similar skills

Phyai Local Env Report next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Phyai Local Env Report compared with similar skills
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Code Review ChecklistshareAI-lab/learn-claude-code78k4 repos~1.1kAutomated safety check: PassMIT
Skyvern Version BumpSkyvern-AI/skyvern23k—~1kAutomated safety check: NotesAGPL-3.0
Saleor Commit Workflowsaleor/saleor23k—~575Automated safety check: PassBSD-3-Clause
Commitizencommitizen-tools/commitizen3.5k—~839Automated safety check: PassMIT

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Works with

Categories

Questions about Phyai Local Env Report

What does Phyai Local Env Report do?

Generate a local phyai environment report for debugging system, Python, CUDA/GPU, dependency, workspace package, git, and PHYAI configuration issues. Phyai Local Env Report is an agent skill from mingti-org/phyai. Generate a local phyai environment report for debugging system, Python, CUDA/GPU, dependency, workspace package, git, and PHYAI configuration issues.

When should I use Phyai Local Env Report?

Phyai Local Env Report fits situations like: asked to inspect; diagnose the current phyai development/runtime environment.

How do I install Phyai Local Env Report in Claude Code?

Run `npx skills add mingti-org/phyai --skill phyai-local-env-report -a claude-code`. Or copy the skill folder (.claude/skills/phyai-local-env-report in mingti-org/phyai) into .claude/skills/phyai-local-env-report in your project. Claude Code loads it when a task matches its description.

How do I install Phyai Local Env Report in Codex?

Run `npx skills add mingti-org/phyai --skill phyai-local-env-report -a codex`. Or copy the skill folder (.claude/skills/phyai-local-env-report in mingti-org/phyai) into .agents/skills/phyai-local-env-report in your project. Codex loads it when a task matches its description.

Can I use Phyai Local Env Report in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mingti-org/phyai --skill phyai-local-env-report -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/phyai-local-env-report, .gemini/skills/phyai-local-env-report, .github/skills/phyai-local-env-report and .opencode/skills/phyai-local-env-report in your project.

What does Phyai Local Env Report need to run?

Going by SKILL.md and its folder, Phyai Local Env Report needs Python for the scripts in its folder and the command-line tools its instructions call (uv and python). Our summary lists: Python 3.

Does Phyai Local Env Report access the network?

SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Phyai Local Env Report safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Phyai Local Env Report use?

Phyai Local Env Report is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Phyai Local Env Report use?

About 590 tokens (SKILL.md is roughly 2.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Phyai Local Env Report?

Skills that share tags, products or a category with Phyai Local Env Report: Paddle Debug (PaddlePaddle/Paddle, 24k stars), Code Review Checklist (shareAI-lab/learn-claude-code, 78k stars), Skyvern Version Bump (Skyvern-AI/skyvern, 23k stars) and Saleor Commit Workflow (saleor/saleor, 23k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Phyai Local Env Report?

mingti-org (a GitHub organization) maintains it in mingti-org/phyai, which has 130 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on October 6, 2026.

Source: mingti-org/phyai on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.