Agent skill

Sandbox Tfjs

Classify and embed images, detect objects, and answer from a passage in a Code node or CodeAct action, with TensorFlow.js running on the host

AGPL-3.0Auto-check passedAI & LLM Engineering

Install Sandbox Tfjs

skills CLI

$ npx skills add nodetool-ai/nodetool --skill sandbox-tfjs -a claude-code

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

GitHub CLI

$ gh skill install nodetool-ai/nodetool sandbox-tfjs --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/nodetool-ai/nodetool.git skills-src && mkdir -p .claude/skills && cp -r skills-src/packages/sandbox-packs/sandbox-tfjs .claude/skills/sandbox-tfjs && 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/

Paste into Claude Code

Install the "sandbox-tfjs" agent skill from https://github.com/nodetool-ai/nodetool/tree/main/packages/sandbox-packs/sandbox-tfjs into .claude/skills/sandbox-tfjs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sandbox-tfjs", 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

$skill-installer install https://github.com/nodetool-ai/nodetool/tree/main/packages/sandbox-packs/sandbox-tfjs

Type 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.

skills CLI

$ npx skills add nodetool-ai/nodetool --skill sandbox-tfjs -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install nodetool-ai/nodetool sandbox-tfjs --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/nodetool-ai/nodetool.git skills-src && mkdir -p .agents/skills && cp -r skills-src/packages/sandbox-packs/sandbox-tfjs .agents/skills/sandbox-tfjs && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "sandbox-tfjs" agent skill from https://github.com/nodetool-ai/nodetool/tree/main/packages/sandbox-packs/sandbox-tfjs into .agents/skills/sandbox-tfjs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sandbox-tfjs", 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.

skills CLI

$ npx skills add nodetool-ai/nodetool --skill sandbox-tfjs -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install nodetool-ai/nodetool sandbox-tfjs --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/nodetool-ai/nodetool.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/packages/sandbox-packs/sandbox-tfjs .cursor/skills/sandbox-tfjs && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "sandbox-tfjs" agent skill from https://github.com/nodetool-ai/nodetool/tree/main/packages/sandbox-packs/sandbox-tfjs into .cursor/skills/sandbox-tfjs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sandbox-tfjs", 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

$ gemini skills install https://github.com/nodetool-ai/nodetool.git --path packages/sandbox-packs/sandbox-tfjs

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add nodetool-ai/nodetool --skill sandbox-tfjs -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install nodetool-ai/nodetool sandbox-tfjs --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/nodetool-ai/nodetool.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/packages/sandbox-packs/sandbox-tfjs .gemini/skills/sandbox-tfjs && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "sandbox-tfjs" agent skill from https://github.com/nodetool-ai/nodetool/tree/main/packages/sandbox-packs/sandbox-tfjs into .gemini/skills/sandbox-tfjs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sandbox-tfjs", 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.

GitHub CLI

$ gh skill install nodetool-ai/nodetool sandbox-tfjs

Installs 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).

skills CLI

$ npx skills add nodetool-ai/nodetool --skill sandbox-tfjs -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/nodetool-ai/nodetool.git skills-src && mkdir -p .github/skills && cp -r skills-src/packages/sandbox-packs/sandbox-tfjs .github/skills/sandbox-tfjs && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "sandbox-tfjs" agent skill from https://github.com/nodetool-ai/nodetool/tree/main/packages/sandbox-packs/sandbox-tfjs into .github/skills/sandbox-tfjs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sandbox-tfjs", 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.

skills CLI

$ npx skills add nodetool-ai/nodetool --skill sandbox-tfjs -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install nodetool-ai/nodetool sandbox-tfjs --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/nodetool-ai/nodetool.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/packages/sandbox-packs/sandbox-tfjs .opencode/skills/sandbox-tfjs && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "sandbox-tfjs" agent skill from https://github.com/nodetool-ai/nodetool/tree/main/packages/sandbox-packs/sandbox-tfjs into .opencode/skills/sandbox-tfjs/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "sandbox-tfjs", 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: sandbox-tfjs
GitHub stars: 560
Token cost: ~660 tokens
SKILL.md length: 266 words
Files: 2
Skills in repo: 127
Repo updated: Oct 10, 2026
First seen: Oct 7, 2026
Licence: AGPL-3.0

At a glance

Classify and embed images, detect objects, and answer from a passage in a Code node or CodeAct action, with TensorFlow.js running on the host

Tasks that involve Deep learning
SKILL.md covers classify — ImageNet labels, embed — a feature vector for…, detect — objects with boxes and answer — extractive question…, plus 1 more section
Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Sandbox Tfjs is an agent skill from nodetool-ai/nodetool. Classify and embed images, detect objects, and answer from a passage in a Code node or CodeAct action, with TensorFlow.js running on the host

Its SKILL.md is about 660 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `package.json`).

It sits in AI & LLM Engineering, covering Deep learning. It works with TensorFlow. The repository describes itself as: Agent-first Creative Workspace. The licence is AGPL-3.0.

When your agent uses it

Tasks that involve Deep learning

Example prompts

“/sandbox-tfjs”

What it can do on your machine

Read from SKILL.md and the folder at commit 339f069. 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
No scripts in the folder and no shell commands in SKILL.md (its code samples are javascript).
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

Sandbox Tfjs loads about 660 tokens when it runs. Until then it costs about 39 tokens; SKILL.md has 266 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~39
When it runs · the whole SKILL.md, loaded when a task matches: ~660

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); files beside SKILL.md are not scanned.

SKILL.md

The full file from nodetool-ai/nodetool at commit 339f069, republished under its AGPL-3.0 licence (© nodetool-ai). 266 words, ~660 tokens.

Download SKILL.mdSave it as .claude/skills/sandbox-tfjs/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: sandbox-tfjs
description: Classify and embed images, detect objects, and answer from a passage in a Code node or CodeAct action, with TensorFlow.js running on the host

TensorFlow.js models in the sandbox

Specifier: @nodetool-ai/sandbox-tfjs. Import it at the top of the body.

The models are tens of megabytes of weights, fetched over the network and kept between calls. The guest has neither the heap for them nor a way to keep anything alive past a run, so this pack is a host module: the import resolves to a generated facade over NodeTool's own implementation, and each model loads once per process.

These models are small, local, and free — that is the whole reason to reach for them. For anything a description or a caption would answer better, use a vision model through nodetool.media instead.

classify — ImageNet labels

import { classify } from "@nodetool-ai/sandbox-tfjs";

const labels = await classify(await workspace.readBytes("photo.jpg"), { topK: 3 });
return { best: labels[0].className, probability: labels[0].probability };

MobileNet v2 over the 1000 ImageNet classes, most likely first. topK defaults to 5.

embed — a feature vector for an image

import { embed } from "@nodetool-ai/sandbox-tfjs";

const vector = await embed(bytes);   // 1280 numbers

The MobileNet penultimate layer. Compare two vectors by cosine similarity for near-duplicate detection or nearest-neighbour search.

detect — objects with boxes

import { detect } from "@nodetool-ai/sandbox-tfjs";

const objects = await detect(bytes, { maxBoxes: 10, minScore: 0.6 });
// [{ className: "person", score: 0.91, bbox: { x, y, width, height } }, …]

COCO-SSD over the 80 COCO classes. The box is in image pixels. maxBoxes defaults to 20 and minScore to 0.5.

answer — extractive question answering

import { answer } from "@nodetool-ai/sandbox-tfjs";

const spans = await answer("When was it founded?", inputs.article);
return { answer: spans[0]?.text ?? null };

BERT QnA quotes the passage — it never writes prose. Each span carries a score and its startIndex/endIndex in the passage.

Gotchas

Every export is async, and the first call to each model waits for its weights to download.
Images go in as encoded bytes (PNG/JPEG/WebP), decoded through the sandbox's own image backend — so the same pixel caps image.decode enforces apply, and 10 MB is the input limit.
The models see pixels, nothing else. classify on a screenshot of text answers with an ImageNet class, not with the text; that is @nodetool-ai/sandbox-ocr.

Files

SKILL.md and 1 other file in packages/sandbox-packs/sandbox-tfjs of nodetool-ai/nodetool.

SKILL.md
package.json

Open the folder on GitHubat commit 339f069

Compare with similar skills

Sandbox Tfjs 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.

Sandbox Tfjs compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Sandbox Tfjs this skillnodetool-ai/nodetool	560	—	~660	Automated safety check: Pass	AGPL-3.0	today
Ray Train Distributed TrainingOrchestra-Research/AI-Research-SKILLs	13k	2 repos	~2.7k	Automated safety check: Pass	MIT	3 mo ago
TensorBoard Training VisualizationOrchestra-Research/AI-Research-SKILLs	13k	3 repos	~3.8k	Automated safety check: Pass	MIT	3 mo ago
ML Engineerdavila7/claude-code-templates	33k	9 repos	~2.3k	Automated safety check: Pass	MIT	today
Senior ML Engineerdavila7/claude-code-templates	33k	2 repos	~1.4k	Automated safety check: Pass	MIT	today
Technology Selectiondotnet/skills	5.6k	1 repos	~2.1k	Automated safety check: Pass	MIT	today

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Works with

TensorFlow

Questions about Sandbox Tfjs

What does Sandbox Tfjs do?

Classify and embed images, detect objects, and answer from a passage in a Code node or CodeAct action, with TensorFlow.js running on the host. Sandbox Tfjs is an agent skill from nodetool-ai/nodetool.

When should I use Sandbox Tfjs?

Sandbox Tfjs fits situations like: tasks that involve Deep learning.

How do I install Sandbox Tfjs in Claude Code?

Run `npx skills add nodetool-ai/nodetool --skill sandbox-tfjs -a claude-code`. Or copy the skill folder (packages/sandbox-packs/sandbox-tfjs in nodetool-ai/nodetool) into .claude/skills/sandbox-tfjs in your project. Claude Code loads it when a task matches its description.

How do I install Sandbox Tfjs in Codex?

Run `npx skills add nodetool-ai/nodetool --skill sandbox-tfjs -a codex`. Or copy the skill folder (packages/sandbox-packs/sandbox-tfjs in nodetool-ai/nodetool) into .agents/skills/sandbox-tfjs in your project. Codex loads it when a task matches its description.

Can I use Sandbox Tfjs 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 nodetool-ai/nodetool --skill sandbox-tfjs -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sandbox-tfjs, .gemini/skills/sandbox-tfjs, .github/skills/sandbox-tfjs and .opencode/skills/sandbox-tfjs in your project.

What does Sandbox Tfjs need to run?

SKILL.md names no scripts, command-line tools or credentials: Sandbox Tfjs is instructions for the agent only.

Does Sandbox Tfjs 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 Sandbox Tfjs 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. Review the folder before installing.

What licence does Sandbox Tfjs use?

Sandbox Tfjs is published under the AGPL-3.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Sandbox Tfjs use?

About 660 tokens (SKILL.md is roughly 2.6k 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 Sandbox Tfjs?

Skills that share tags, products or a category with Sandbox Tfjs: Ray Train Distributed Training (Orchestra-Research/AI-Research-SKILLs, 13k stars), TensorBoard Training Visualization (Orchestra-Research/AI-Research-SKILLs, 13k stars), ML Engineer (davila7/claude-code-templates, 33k stars) and Senior ML Engineer (davila7/claude-code-templates, 33k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sandbox Tfjs?

nodetool-ai (a GitHub organization) maintains it in nodetool-ai/nodetool, which has 560 GitHub stars. The repository holds 127 skills in this directory. The repository was last updated on October 10, 2026.

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

Install Sandbox Tfjs

Facts

At a glance

What it does

When your agent uses it

Example prompts

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

TensorFlow.js models in the sandbox

classify — ImageNet labels

embed — a feature vector for an image

detect — objects with boxes

answer — extractive question answering

Gotchas

Files

Compare with similar skills

Similar skills

More from nodetool-ai/nodetool

Related

Questions about Sandbox Tfjs