Agent skill

Environment Discovery

by A-EVO-Lab in A-EVO-Lab/a-evolve

Strategies for quickly discovering what tools, languages, and files are available in a Terminal-Bench container.

No licenceAuto-check passed

Install Environment Discovery

skills CLI
$ npx skills add A-EVO-Lab/a-evolve --skill environment-discovery -a claude-code

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

GitHub CLI
$ gh skill install A-EVO-Lab/a-evolve environment-discovery --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/A-EVO-Lab/a-evolve.git skills-src && mkdir -p .claude/skills && cp -r skills-src/seed_workspaces/terminal/skills/environment-discovery .claude/skills/environment-discovery && 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
environment-discovery
GitHub stars
809
Token cost
~368 tokens
SKILL.md length
94 words
Files
1
Skills in repo
17
Repo updated
First seen
Licence
None found

At a glance

Strategies for quickly discovering what tools, languages, and files are available in a Terminal-Bench container.

  • Works in 5 steps: Check available tools and languages → Check the filesystem → Check pre-installed task-specific tools → …
  • SKILL.md covers 1. Check available tools and…, 2. Check the filesystem, 3. Check pre-installed… and 4. If python3 is missing, try…, plus 2 more sections
  • Calls pip and apt

What it does

Environment Discovery is an agent skill from A-EVO-Lab/a-evolve. Strategies for quickly discovering what tools, languages, and files are available in a Terminal-Bench container.

Its SKILL.md is about 370 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with Python. The repository describes itself as: The official repository of "Position: Agentic Evolution is the Path to Evolving LLMs".

Example prompts

  • “Use the environment-discovery skill to strategy for quickly discovering what tools, languages, and files are available in a Terminal-Bench container”
  • “/environment-discovery”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Check available tools and languages
  2. Check the filesystem
  3. Check pre-installed task-specific tools
  4. If python3 is missing, try alternatives
  5. Pre-installed tool locations

What it can do on your machine

Read from SKILL.md and the folder at commit 18ba996. 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

    Shell commands in SKILL.md call:

    • pip
    • apt

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use pip, 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

Environment Discovery loads about 368 tokens when it runs. Until then it costs about 34 tokens; SKILL.md has 94 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~34
When it runs · the whole SKILL.md, loaded when a task matches
~368

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 94 words (~368 tokens).

“When starting a new Terminal-Bench challenge, quickly assess the environment.”

— opening of SKILL.md by A-EVO-Lab
name
environment-discovery

Read the full SKILL.md on GitHub

Files

Just SKILL.md in seed_workspaces/terminal/skills/environment-discovery of A-EVO-Lab/a-evolve.

Open the folder on GitHubat commit 18ba996

Compare with similar skills

Environment Discovery 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.

Environment Discovery compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Environment Discovery this skillA-EVO-Lab/a-evolve809—~368Automated safety check: PassNone
MCP Server Builderanthropics/skills180k63 repos~2.3kAutomated safety check: PassApache-2.0
PDF Processinganthropics/skills180k48 repos~2kAutomated safety check: PassProprietary
NotebookLM Research AssistantPleasePrompto/notebooklm-skill7.8k14 repos~2.4kAutomated safety check: NotesMIT
Manim Video Productionbrowser-use/video-use28k6 repos~3kAutomated safety check: PassMIT
Code Review ChecklistshareAI-lab/learn-claude-code78k5 repos~1.1kAutomated safety check: PassMIT

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Works with

Questions about Environment Discovery

What does Environment Discovery do?

Strategies for quickly discovering what tools, languages, and files are available in a Terminal-Bench container. Environment Discovery is an agent skill from A-EVO-Lab/a-evolve. Strategies for quickly discovering what tools, languages, and files are available in a Terminal-Bench container.

How do I install Environment Discovery in Claude Code?

Run `npx skills add A-EVO-Lab/a-evolve --skill environment-discovery -a claude-code`. Or copy the skill folder (seed_workspaces/terminal/skills/environment-discovery in A-EVO-Lab/a-evolve) into .claude/skills/environment-discovery in your project. Claude Code loads it when a task matches its description.

How do I install Environment Discovery in Codex?

Run `npx skills add A-EVO-Lab/a-evolve --skill environment-discovery -a codex`. Or copy the skill folder (seed_workspaces/terminal/skills/environment-discovery in A-EVO-Lab/a-evolve) into .agents/skills/environment-discovery in your project. Codex loads it when a task matches its description.

Can I use Environment Discovery 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 A-EVO-Lab/a-evolve --skill environment-discovery -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/environment-discovery, .gemini/skills/environment-discovery, .github/skills/environment-discovery and .opencode/skills/environment-discovery in your project.

What does Environment Discovery need to run?

Going by SKILL.md and its folder, Environment Discovery needs the command-line tools its instructions call (pip and apt). Our summary lists: Python 3.

Does Environment Discovery access the network?

SKILL.md contains no URLs. Its commands use pip, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Environment Discovery 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 Environment Discovery use?

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

How many tokens does Environment Discovery use?

About 368 tokens (SKILL.md is roughly 1.5k 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 Environment Discovery?

Skills that share tags, products or a category with Environment Discovery: MCP Server Builder (anthropics/skills, 180k stars), PDF Processing (anthropics/skills, 180k stars), NotebookLM Research Assistant (PleasePrompto/notebooklm-skill, 7.8k stars) and Manim Video Production (browser-use/video-use, 28k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Environment Discovery?

A-EVO-Lab (a GitHub organization) maintains it in A-EVO-Lab/a-evolve, which has 809 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on August 22, 2026.

Source: A-EVO-Lab/a-evolve on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.