Agent skill

Sandbox Stats

by nodetool-ai in nodetool-ai/nodetool

Mean, median, quantiles, and linear regression inside a Code node or CodeAct action, with simple-statistics running in the guest

AGPL-3.0Auto-check passedData & Analytics

Install Sandbox Stats

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

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

GitHub CLI
$ gh skill install nodetool-ai/nodetool sandbox-stats --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-stats .claude/skills/sandbox-stats && 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
sandbox-stats
GitHub stars
560
Token cost
~265 tokens
SKILL.md length
50 words
Files
2
Skills in repo
127
Repo updated
First seen
Licence
AGPL-3.0

At a glance

Mean, median, quantiles, and linear regression inside a Code node or CodeAct action, with simple-statistics running in the guest

  • Tasks that involve Statistics
  • SKILL.md covers Column summaries, Linear regression and Gotchas
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Sandbox Stats is an agent skill from nodetool-ai/nodetool. Mean, median, quantiles, and linear regression inside a Code node or CodeAct action, with simple-statistics running in the guest

Its SKILL.md is about 270 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 Data & Analytics, covering Statistics. The repository describes itself as: Agent-first Creative Workspace. The licence is AGPL-3.0.

When your agent uses it

  • Tasks that involve Statistics

Example prompts

  • “/sandbox-stats”

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 Stats loads about 265 tokens when it runs. Until then it costs about 36 tokens; SKILL.md has 50 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~36
When it runs · the whole SKILL.md, loaded when a task matches
~265

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). 50 words, ~265 tokens.

Download SKILL.mdSave it as .claude/skills/sandbox-stats/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
sandbox-stats
description
Mean, median, quantiles, and linear regression inside a Code node or CodeAct action, with simple-statistics running in the guest

Statistics in the sandbox

Specifier: @nodetool-ai/sandbox-stats. One module, simple-statistics. Import it at the top of the body.

Column summaries

js
import { mean, median, standardDeviation, quantile } from "@nodetool-ai/sandbox-stats";

const xs = inputs.values;
return {
  mean: mean(xs),
  median: median(xs),
  sd: standardDeviation(xs),
  p90: quantile(xs, 0.9)
};

Linear regression

js
import { linearRegression, linearRegressionLine } from "@nodetool-ai/sandbox-stats";

const fit = linearRegression(inputs.points);
const line = linearRegressionLine(fit);
return { m: fit.m, b: fit.b, at10: line(10) };

inputs.points is [[x, y], ...].

Gotchas

  • Named imports. Import only the functions you use.
  • Empty arrays throw. Guard before mean([]).
  • This is not TFJS. Classification and embeddings stay on @nodetool-ai/sandbox-tfjs.

© nodetool-ai, AGPL-3.0. 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 in packages/sandbox-packs/sandbox-stats of nodetool-ai/nodetool.

  • SKILL.md
  • package.json

Open the folder on GitHubat commit 339f069

Compare with similar skills

Sandbox Stats 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 Stats compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Sandbox Stats this skillnodetool-ai/nodetool560—~265Automated safety check: PassAGPL-3.0
Sandbox Benchvercel/next.js143k—~4.1kAutomated safety check: PassMIT
Statistical Analysisspacering-net/codeg3.9k3 repos~5kAutomated safety check: PassMIT
StatsmodelszLanqing/codex-claude-academic-skills4.7k15 repos~4.9kAutomated safety check: PassBSD-3-Clause
AI Daily DigestvigorX777/ai-daily-digest1.6k—~1.3kAutomated safety check: PassNone
Statistical Powerspacering-net/codeg3.9k1 repos~3.6kAutomated safety check: NotesMIT

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Questions about Sandbox Stats

What does Sandbox Stats do?

Mean, median, quantiles, and linear regression inside a Code node or CodeAct action, with simple-statistics running in the guest. Sandbox Stats is an agent skill from nodetool-ai/nodetool.

When should I use Sandbox Stats?

Sandbox Stats fits situations like: tasks that involve Statistics.

How do I install Sandbox Stats in Claude Code?

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

How do I install Sandbox Stats in Codex?

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

Can I use Sandbox Stats 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-stats -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-stats, .gemini/skills/sandbox-stats, .github/skills/sandbox-stats and .opencode/skills/sandbox-stats in your project.

What does Sandbox Stats need to run?

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

Does Sandbox Stats 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 Stats 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 Stats use?

Sandbox Stats 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 Stats use?

About 265 tokens (SKILL.md is roughly 1.1k 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 Stats?

Skills that share tags, products or a category with Sandbox Stats: Sandbox Bench (vercel/next.js, 143k stars), Statistical Analysis (spacering-net/codeg, 3.9k stars), Statsmodels (zLanqing/codex-claude-academic-skills, 4.7k stars) and AI Daily Digest (vigorX777/ai-daily-digest, 1.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sandbox Stats?

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.