Setup Workshop Nemoclaw
brevdev/workshop-build-an-agent
Set up the NVIDIA "Build an Agent" DevX workshop as a working JupyterLab environment from INSIDE a locked-down OpenShell/NemoClaw sandbox, and hand the user the token URL + access commands.
A skill your agent uses for AutoGen developer tooling maintenance: AutoGen Studio, AG Bench, Magentic-One CLI, pyautogen proxy compatibility, CLI help checks, safe benchmark/service planning, and…
Install Tools Studio Bench
$ npx skills add VectorSpaceLab/AREX-Skill --skill tools-studio-bench -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill tools-studio-bench --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/repositories/repo-skills/autogen/sub-skills/tools-studio-bench .claude/skills/tools-studio-bench && rm -rf skills-srcUse ~/.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/
Install the "tools-studio-bench" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/autogen/sub-skills/tools-studio-bench into .claude/skills/tools-studio-bench/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tools-studio-bench", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/autogen/sub-skills/tools-studio-benchType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add VectorSpaceLab/AREX-Skill --skill tools-studio-bench -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill tools-studio-bench --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/repositories/repo-skills/autogen/sub-skills/tools-studio-bench .agents/skills/tools-studio-bench && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "tools-studio-bench" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/autogen/sub-skills/tools-studio-bench into .agents/skills/tools-studio-bench/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tools-studio-bench", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add VectorSpaceLab/AREX-Skill --skill tools-studio-bench -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill tools-studio-bench --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/repositories/repo-skills/autogen/sub-skills/tools-studio-bench .cursor/skills/tools-studio-bench && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "tools-studio-bench" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/autogen/sub-skills/tools-studio-bench into .cursor/skills/tools-studio-bench/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tools-studio-bench", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/VectorSpaceLab/AREX-Skill.git --path skills/repositories/repo-skills/autogen/sub-skills/tools-studio-bench--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add VectorSpaceLab/AREX-Skill --skill tools-studio-bench -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill tools-studio-bench --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/repositories/repo-skills/autogen/sub-skills/tools-studio-bench .gemini/skills/tools-studio-bench && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "tools-studio-bench" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/autogen/sub-skills/tools-studio-bench into .gemini/skills/tools-studio-bench/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tools-studio-bench", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install VectorSpaceLab/AREX-Skill tools-studio-benchInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add VectorSpaceLab/AREX-Skill --skill tools-studio-bench -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/repositories/repo-skills/autogen/sub-skills/tools-studio-bench .github/skills/tools-studio-bench && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "tools-studio-bench" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/autogen/sub-skills/tools-studio-bench into .github/skills/tools-studio-bench/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tools-studio-bench", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add VectorSpaceLab/AREX-Skill --skill tools-studio-bench -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install VectorSpaceLab/AREX-Skill tools-studio-bench --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/repositories/repo-skills/autogen/sub-skills/tools-studio-bench .opencode/skills/tools-studio-bench && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "tools-studio-bench" agent skill from https://github.com/VectorSpaceLab/AREX-Skill/tree/main/skills/repositories/repo-skills/autogen/sub-skills/tools-studio-bench into .opencode/skills/tools-studio-bench/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tools-studio-bench", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
tools-studio-bench- GitHub stars
- 328
- Token cost
- ~910 tokens
- SKILL.md length
- 389 words
- Files
- 7 (incl. scripts, references)
- Skills in repo
- 157
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
A skill your agent uses for AutoGen developer tooling maintenance: AutoGen Studio, AG Bench, Magentic-One CLI, pyautogen proxy compatibility, CLI help checks, safe benchmark/service planning, and…
- Works in 5 steps: Identify the requested tool package and… → Check Python version and package… → If Studio or Magentic-One CLI conflicts… → …
- AutoGen developer tooling maintenance: AutoGen Studio
- SKILL.md covers Route First, Boundaries, Safe Inspection and Decision Checklist
- Runs Python scripts from its folder; calls python
What it does
Tools Studio Bench is an agent skill from VectorSpaceLab/AREX-Skill. Use for AutoGen developer tooling maintenance: AutoGen Studio, AG Bench, Magentic-One CLI, pyautogen proxy compatibility, CLI help checks, safe benchmark/service planning, and dependency/version boundary decisions.
Its SKILL.md is about 910 tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts and reference files (for example `references/agbench.md`, `references/compatibility.md` and `references/magentic-one-cli.md`).
It sits in AI & LLM Engineering, covering Building AI agents. It works with Docker. The repository describes itself as: A Skill Library for Automated Machine Learning.
When your agent uses it
- AutoGen developer tooling maintenance: AutoGen Studio
- Magentic-One CLI
- Pyautogen proxy compatibility
- CLI help checks
Example prompts
- “/tools-studio-bench”
Requirements
- Python 3
- Docker
Workflow steps
5 steps, taken from the first numbered list in SKILL.md.
- Identify the requested tool package and current installed AutoGen library versions.
- Check Python version and package dependency ranges before installing any tool into an existing environment.
- If Studio or Magentic-One CLI conflicts with modern 0.7.x AutoGen libraries, propose a separate environment pinned to the tool’s supported…
- For AG Bench, start with agbench --help, agbench run --help, agbench lint --help, and configuration review; do not run tasks until Docker…
- For pyautogen, treat current releases as a proxy for autogen-agentchat; pin pyautogen~=0.2.0 only for legacy 0.2-style code.
What it can do on your machine
Read from SKILL.md and the folder at commit ac3fe1a. 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:
python
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
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
Tools Studio Bench loads about 910 tokens when it runs, and up to ~5.1k if it reads all its reference files. Until then it costs about 58 tokens; SKILL.md has 389 words of instructions outside code blocks.
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
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 389 words (~910 tokens).
“Use this sub-skill when a task involves AutoGen developer tools rather than application code: autogenstudio, agbench, m1 / Magentic-One CLI, pyautogen, package metadata checks, CLI availability, benchmark planning, or dependency conflicts between tool packages and installed AutoGen libraries.”
- name
- tools-studio-bench
- disable-model-invocation
- true
- metadata.disco-role
- operating
- license
- NOASSERTION
Files
SKILL.md and 6 other files (scripts, references) in skills/repositories/repo-skills/autogen/sub-skills/tools-studio-bench of VectorSpaceLab/AREX-Skill.
- SKILL.md
- references/agbench.md
- references/compatibility.md
- references/magentic-one-cli.md
- references/studio.md
- references/troubleshooting.md
- scripts/inspect_tooling.py
Open the folder on GitHubat commit ac3fe1a
Compare with similar skills
Tools Studio Bench 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Tools Studio Bench this skillVectorSpaceLab/AREX-Skill | 328 | — | ~910 | Automated safety check: Pass | Custom licence | |
| Setup Workshop Nemoclawbrevdev/workshop-build-an-agent | 144 | — | ~5.2k | Automated safety check: Pass | Apache-2.0 | |
| Langgraph CLIlangchain-ai/langchain-skills | 1.3k | — | ~2.8k | Automated safety check: Notes | MIT | |
| Langchain Deploy Integrationjeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~3.9k | Automated safety check: Notes | MIT | |
| Autogenmagnus919/agent-skills | 113 | — | ~1.7k | Automated safety check: Pass | MIT | |
| Mobilerun Docs Referencedroidrun/mobilerun | 9.6k | — | ~943 | Automated safety check: Pass | MIT |
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Related
Works with
Categories
Questions about Tools Studio Bench
What does Tools Studio Bench do?
A skill your agent uses for AutoGen developer tooling maintenance: AutoGen Studio, AG Bench, Magentic-One CLI, pyautogen proxy compatibility, CLI help checks, safe benchmark/service planning, and…. Tools Studio Bench is an agent skill from VectorSpaceLab/AREX-Skill. Use for AutoGen developer tooling maintenance: AutoGen Studio, AG Bench, Magentic-One CLI, pyautogen proxy compatibility, CLI help checks, safe benchmark/service planning, and dependency/version boundary decisions.
When should I use Tools Studio Bench?
Tools Studio Bench fits situations like: autoGen developer tooling maintenance: AutoGen Studio; magentic-One CLI; pyautogen proxy compatibility; CLI help checks.
How do I install Tools Studio Bench in Claude Code?
Run `npx skills add VectorSpaceLab/AREX-Skill --skill tools-studio-bench -a claude-code`. Or copy the skill folder (skills/repositories/repo-skills/autogen/sub-skills/tools-studio-bench in VectorSpaceLab/AREX-Skill) into .claude/skills/tools-studio-bench in your project. Claude Code loads it when a task matches its description.
How do I install Tools Studio Bench in Codex?
Run `npx skills add VectorSpaceLab/AREX-Skill --skill tools-studio-bench -a codex`. Or copy the skill folder (skills/repositories/repo-skills/autogen/sub-skills/tools-studio-bench in VectorSpaceLab/AREX-Skill) into .agents/skills/tools-studio-bench in your project. Codex loads it when a task matches its description.
Can I use Tools Studio Bench 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 VectorSpaceLab/AREX-Skill --skill tools-studio-bench -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tools-studio-bench, .gemini/skills/tools-studio-bench, .github/skills/tools-studio-bench and .opencode/skills/tools-studio-bench in your project.
What does Tools Studio Bench need to run?
Going by SKILL.md and its folder, Tools Studio Bench needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3; Docker.
Does Tools Studio Bench access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Tools Studio Bench 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 Tools Studio Bench use?
Tools Studio Bench has a licence file (declared in SKILL.md) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Tools Studio Bench use?
About 910 tokens (SKILL.md is roughly 3.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 4.2k tokens, read only when the agent opens those files.
What are the alternatives to Tools Studio Bench?
Skills that share tags, products or a category with Tools Studio Bench: Setup Workshop Nemoclaw (brevdev/workshop-build-an-agent, 144 stars), Langgraph CLI (langchain-ai/langchain-skills, 1.3k stars), Langchain Deploy Integration (jeremylongshore/tons-of-skills-marketplace, 2.8k stars) and Autogen (magnus919/agent-skills, 113 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Tools Studio Bench?
VectorSpaceLab (a GitHub organization) maintains it in VectorSpaceLab/AREX-Skill, which has 328 GitHub stars. The repository holds 157 skills in this directory. The repository was last updated on September 3, 2026.
Source: VectorSpaceLab/AREX-Skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.