Agent skill

Configuration

by VectorSpaceLab in VectorSpaceLab/AREX-Skill

A skill your agent uses when maintaining Electricity Maps zone, exchange, data-center, emission-factor, geo, and config-model validation workflows.

Custom licenceAuto-check passed

Install Configuration

skills CLI
$ npx skills add VectorSpaceLab/AREX-Skill --skill configuration -a claude-code

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

GitHub CLI
$ gh skill install VectorSpaceLab/AREX-Skill configuration --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/VectorSpaceLab/AREX-Skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/repositories/repo-skills/electricitymaps-contrib/sub-skills/configuration .claude/skills/configuration && 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
configuration
GitHub stars
330
Token cost
~913 tokens
SKILL.md length
324 words
Files
6 (incl. scripts, references)
Skills in repo
159
Repo updated
First seen
Licence
Custom licence

At a glance

A skill your agent uses when maintaining Electricity Maps zone, exchange, data-center, emission-factor, geo, and config-model validation workflows.

  • Works in 4 steps: Identify the config surface: zone YAML,… → Run safe validators before and after edits → Use the aggregate helper in dry-run mode… → …
  • Maintaining Electricity Maps zone
  • SKILL.md covers First decisions, Read these references, Configuration checklist and Focused checks
  • Runs Python scripts from its folder; calls uv and python

What it does

Configuration is an agent skill from VectorSpaceLab/AREX-Skill. Use when maintaining Electricity Maps zone, exchange, data-center, emission-factor, geo, and config-model validation workflows.

Its SKILL.md is about 910 tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `references/config-models.md`, `references/troubleshooting.md` and `references/workflows.md`).

The repository describes itself as: A Skill Library for Automated Machine Learning.

When your agent uses it

  • Maintaining Electricity Maps zone
  • Emission-factor
  • Config-model validation workflows

Example prompts

  • “/configuration”

Requirements

  • Python 3

Workflow steps

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

  1. Identify the config surface: zone YAML, exchange YAML, data centers,
  2. Run safe validators before and after edits
  3. Use the aggregate helper in dry-run mode before writing a parent zone file
  4. If a task also changes parser mappings or capacity values, route to the

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 2 files 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

Configuration loads about 913 tokens when it runs, and up to ~4k if it reads all its reference files. Until then it costs about 35 tokens; SKILL.md has 324 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~35
When it runs · the whole SKILL.md, loaded when a task matches
~913
With references · SKILL.md plus every file in references/, read only if the agent opens them
~4k

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 324 words (~913 tokens).

“Use this sub-skill for static repository configuration: config/zones, config/exchanges, config/defaults.yaml, data-center JSON, co2eq/emission factor metadata, geography consistency, and filename/model validation.”

— opening of SKILL.md by VectorSpaceLab, Custom licence
name
configuration
disable-model-invocation
true
metadata.disco-role
operating
license
NOASSERTION

Read the full SKILL.md on GitHub

Files

SKILL.md and 5 other files (scripts, references) in skills/repositories/repo-skills/electricitymaps-contrib/sub-skills/configuration of VectorSpaceLab/AREX-Skill.

  • SKILL.md
  • references/config-models.md
  • references/troubleshooting.md
  • references/workflows.md
  • scripts/create_aggregated_zone_config.py
  • scripts/validate_config_filenames.py

Open the folder on GitHubat commit ac3fe1a

Compare with similar skills

Configuration 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.

Configuration compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Configuration this skillVectorSpaceLab/AREX-Skill330—~913Automated safety check: PassCustom licence
Wiki Maintaineropenclaw/openclaw392k1 repos~462Automated safety check: PassMIT
Token Mapnexu-io/open-design100k—~1.4kAutomated safety check: PassApache-2.0
Maps Geographyasgeirtj/system_prompts_leaks69k—~717Automated safety check: PassCC0-1.0
Obsidian Vault Maintaineropenclaw/openclaw392k1 repos~262Automated safety check: PassMIT
Openclaw PR Maintaineropenclaw/openclaw392k—~2.2kAutomated safety check: PassMIT

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Questions about Configuration

What does Configuration do?

A skill your agent uses when maintaining Electricity Maps zone, exchange, data-center, emission-factor, geo, and config-model validation workflows. Configuration is an agent skill from VectorSpaceLab/AREX-Skill. Use when maintaining Electricity Maps zone, exchange, data-center, emission-factor, geo, and config-model validation workflows.

When should I use Configuration?

Configuration fits situations like: maintaining Electricity Maps zone; emission-factor; config-model validation workflows.

How do I install Configuration in Claude Code?

Run `npx skills add VectorSpaceLab/AREX-Skill --skill configuration -a claude-code`. Or copy the skill folder (skills/repositories/repo-skills/electricitymaps-contrib/sub-skills/configuration in VectorSpaceLab/AREX-Skill) into .claude/skills/configuration in your project. Claude Code loads it when a task matches its description.

How do I install Configuration in Codex?

Run `npx skills add VectorSpaceLab/AREX-Skill --skill configuration -a codex`. Or copy the skill folder (skills/repositories/repo-skills/electricitymaps-contrib/sub-skills/configuration in VectorSpaceLab/AREX-Skill) into .agents/skills/configuration in your project. Codex loads it when a task matches its description.

Can I use Configuration 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 configuration -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/configuration, .gemini/skills/configuration, .github/skills/configuration and .opencode/skills/configuration in your project.

What does Configuration need to run?

Going by SKILL.md and its folder, Configuration 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 Configuration 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 Configuration 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 Configuration use?

Configuration 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 Configuration use?

About 913 tokens (SKILL.md is roughly 3.7k 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 3.1k tokens, read only when the agent opens those files.

What are the alternatives to Configuration?

Skills that share tags, products or a category with Configuration: Wiki Maintainer (openclaw/openclaw, 392k stars), Token Map (nexu-io/open-design, 100k stars), Maps Geography (asgeirtj/system_prompts_leaks, 69k stars) and Obsidian Vault Maintainer (openclaw/openclaw, 392k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Configuration?

VectorSpaceLab (a GitHub organization) maintains it in VectorSpaceLab/AREX-Skill, which has 330 GitHub stars. The repository holds 159 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.