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Agent skill

Trait Environment Scatterplots

by Jinze-Lee in Jinze-Lee/codex-skills-workbench

Follow the bundled trait-environment scatterplot workflow. An agent skill from Jinze-Lee/codex-skills-workbench.

No licenceAuto-check passedData & Analytics

Install Trait Environment Scatterplots

skills CLI
$ npx skills add Jinze-Lee/codex-skills-workbench --skill trait-environment-scatterplots -a claude-code

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

GitHub CLI
$ gh skill install Jinze-Lee/codex-skills-workbench trait-environment-scatterplots --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/Jinze-Lee/codex-skills-workbench.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/trait-environment-scatterplots .claude/skills/trait-environment-scatterplots && 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
trait-environment-scatterplots
GitHub stars
109
Token cost
~298 tokens
SKILL.md length
109 words
Files
3 (incl. references)
Skills in repo
17
Repo updated
First seen
Licence
None found

At a glance

Follow the bundled trait-environment scatterplot workflow. An agent skill from Jinze-Lee/codex-skills-workbench.

  • Works in 5 steps: Read references/source-note.md first. → Follow the note's filtering logic,… → Replace stale variable names,… → …
  • Explicitly invokes $trait-environment-scatterplots
  • SKILL.md covers Overview, Workflow and Source
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Trait Environment Scatterplots is an agent skill from Jinze-Lee/codex-skills-workbench. Follow the bundled trait-environment scatterplot workflow. Use this skill only when the user explicitly invokes $trait-environment-scatterplots. Do not auto-select this skill for general scatterplot or plotting tasks.

Its SKILL.md is about 300 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `agents/openai.yaml` and `references/source-note.md`).

It sits in Data & Analytics, covering Data visualization.

When your agent uses it

  • Explicitly invokes $trait-environment-scatterplots
  • Tasks that involve Data visualization

Example prompts

  • “/trait-environment-scatterplots”

Workflow steps

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

  1. Read references/source-note.md first.
  2. Follow the note's filtering logic, regression rules, and multi-level plotting conventions closely.
  3. Replace stale variable names, thresholds, and file paths with the current dataset equivalents instead of copying blindly.
  4. Preserve the original analytical intent while adapting to the present task.
  5. If the note conflicts with the current user request, follow the current request and explain the adjustment.

What it can do on your machine

Read from SKILL.md and the folder at commit 7aa34a5. 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.

    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

Trait Environment Scatterplots loads about 298 tokens when it runs, and up to ~721 if it reads all its reference files. Until then it costs about 63 tokens; SKILL.md has 109 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~63
When it runs · the whole SKILL.md, loaded when a task matches
~298
With references · SKILL.md plus every file in references/, read only if the agent opens them
~721

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

Without a licence we can't republish the file, so here is its outline and opening line. It has 109 words (~298 tokens).

“Use references/source-note.md as the source of truth for this skill.”

— opening of SKILL.md by Jinze-Lee
name
trait-environment-scatterplots

Read the full SKILL.md on GitHub

Files

SKILL.md and 2 other files (references) in skills/trait-environment-scatterplots of Jinze-Lee/codex-skills-workbench.

  • SKILL.md
  • agents/openai.yaml
  • references/source-note.md

Open the folder on GitHubat commit 7aa34a5

Compare with similar skills

Trait Environment Scatterplots 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.

Trait Environment Scatterplots compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Trait Environment Scatterplots this skillJinze-Lee/codex-skills-workbench109—~298Automated safety check: PassNone
MatplotlibzLanqing/codex-claude-academic-skills4.7k17 repos~2.9kAutomated safety check: PassMIT
Chart Visualizationbytedance/deer-flow84k1 repos~840Automated safety check: PassMIT
Scientific Visualizationmims-harvard/OptimusKG14719 repos~6.3kAutomated safety check: PassMIT
SeabornzLanqing/codex-claude-academic-skills4.7k15 repos~4.9kAutomated safety check: PassBSD-3-Clause
Plot From DataTrae1ounG/paper-plot-skills8721 repos~583Automated safety check: PassNone

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Categories

Questions about Trait Environment Scatterplots

What does Trait Environment Scatterplots do?

Follow the bundled trait-environment scatterplot workflow. An agent skill from Jinze-Lee/codex-skills-workbench. Trait Environment Scatterplots is an agent skill from Jinze-Lee/codex-skills-workbench. Follow the bundled trait-environment scatterplot workflow.

When should I use Trait Environment Scatterplots?

Trait Environment Scatterplots fits situations like: explicitly invokes $trait-environment-scatterplots; tasks that involve Data visualization.

How do I install Trait Environment Scatterplots in Claude Code?

Run `npx skills add Jinze-Lee/codex-skills-workbench --skill trait-environment-scatterplots -a claude-code`. Or copy the skill folder (skills/trait-environment-scatterplots in Jinze-Lee/codex-skills-workbench) into .claude/skills/trait-environment-scatterplots in your project. Claude Code loads it when a task matches its description.

How do I install Trait Environment Scatterplots in Codex?

Run `npx skills add Jinze-Lee/codex-skills-workbench --skill trait-environment-scatterplots -a codex`. Or copy the skill folder (skills/trait-environment-scatterplots in Jinze-Lee/codex-skills-workbench) into .agents/skills/trait-environment-scatterplots in your project. Codex loads it when a task matches its description.

Can I use Trait Environment Scatterplots 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 Jinze-Lee/codex-skills-workbench --skill trait-environment-scatterplots -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/trait-environment-scatterplots, .gemini/skills/trait-environment-scatterplots, .github/skills/trait-environment-scatterplots and .opencode/skills/trait-environment-scatterplots in your project.

What does Trait Environment Scatterplots need to run?

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

Does Trait Environment Scatterplots 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 Trait Environment Scatterplots 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 Trait Environment Scatterplots use?

No licence was found for Trait Environment Scatterplots or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Trait Environment Scatterplots use?

About 298 tokens (SKILL.md is roughly 1.2k 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 423 tokens, read only when the agent opens those files.

What are the alternatives to Trait Environment Scatterplots?

Skills that share tags, products or a category with Trait Environment Scatterplots: Matplotlib (zLanqing/codex-claude-academic-skills, 4.7k stars), Chart Visualization (bytedance/deer-flow, 84k stars), Scientific Visualization (mims-harvard/OptimusKG, 147 stars) and Seaborn (zLanqing/codex-claude-academic-skills, 4.7k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Trait Environment Scatterplots?

Jinze-Lee (a GitHub user) maintains it in Jinze-Lee/codex-skills-workbench, which has 109 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on May 2, 2026.

Source: Jinze-Lee/codex-skills-workbench on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.