Agent skill

Environment Discovery

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

Strategies for quickly discovering what tools, languages, data files, and skills are available in a SkillBench 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/skillbench/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
806
Token cost
~340 tokens
SKILL.md length
95 words
Files
1
Skills in repo
17
Repo updated
First seen
Licence
None found

At a glance

Strategies for quickly discovering what tools, languages, data files, and skills are available in a SkillBench container.

  • Works in 5 steps: Check available skills first → Check available tools and languages → Check the workspace → …
  • SKILL.md covers 1. Check available skills first, 2. Check available tools and…, 3. Check the workspace and 4. Check OS and package manager, plus 2 more sections
  • Calls pip3 and python3

What it does

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

Its SKILL.md is about 340 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

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, data files, and skills are available in a SkillBench…”
  • “/environment-discovery”

Requirements

  • Python 3

Workflow steps

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

  1. Check available skills first
  2. Check available tools and languages
  3. Check the workspace
  4. Check OS and package manager
  5. Inspect data files

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:

    • pip3
    • python3

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

  • Network

    No URLs in SKILL.md. Its commands use pip3, 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 340 tokens when it runs. Until then it costs about 36 tokens; SKILL.md has 95 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
~340

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 95 words (~340 tokens).

“When starting a new SkillBench task, quickly assess the environment before writing code.”

— 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/skillbench/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-evolve806—~340Automated safety check: PassNone
Good Strategy Bad Strategywondelai/skills2.4k—~4.8kAutomated safety check: PassMIT
Plain Languagethedaviddias/Front-End-Checklist74k—~493Automated safety check: PassMIT
Product Strategyphuryn/pm-skills27k—~1.2kAutomated safety check: PassMIT
Launch Strategyalirezarezvani/claude-skills28k—~1.4kAutomated safety check: PassMIT
Pricing Strategyalirezarezvani/claude-skills28k1 repos~3.5kAutomated safety check: PassMIT

Similar skills

  • Formulate and audit real strategy using Richard Rumelt's "Good Strategy Bad Strategy": an honest diagnosis, a guiding policy, and coherent action instead of goals, vision, and wishful thinking.

    2.4k GitHub stars~4.8k tokensUpdated 27 days ago
    Business, Finance & HRAuto-check passed
  • Plain Language

    thedaviddias/Front-End-Checklist

    A skill your agent uses when reviewing rendered HTML, interactive components, or design-system patterns related to Write in plain language.

    74k GitHub stars~493 tokensUpdated 2 days ago
    Writing & ContentAuto-check passed
  • Product Strategy

    phuryn/pm-skills

    Create a comprehensive product strategy using the 9-section Product Strategy Canvas — vision, segments, costs, value propositions, trade-offs, metrics, growth, capabilities, and defensibility.

    27k GitHub stars~1.2k tokensUpdated 23 days ago
    Product & Project ManagementAuto-check passed
  • Launch Strategy

    alirezarezvani/claude-skills

    When the user wants to plan a product launch, feature announcement, or release strategy.

    28k GitHub stars~1.4k tokensUpdated 1 mo ago
    Marketing & SEOAuto-check passed
  • Pricing Strategy

    alirezarezvani/claude-skills

    Design, optimize, and communicate SaaS pricing — tier structure, value metrics, pricing pages, and price increase strategy.

    28k GitHub starsUsed in 1 repo~3.5k tokens
    Sales & SupportAuto-check passed
  • Monetization Strategy

    phuryn/pm-skills

    Brainstorm 3-5 monetization strategies with audience fit, risks, and validation experiments.

    27k GitHub stars~1.7k tokensUpdated 23 days ago
    Sales & SupportAuto-check passed

More from A-EVO-Lab/a-evolve

All 17 skills in this repo
  • Harness Optimizer

    A-EVO-Lab/a-evolve

    Optimize an AI agent's harness for MCP-Atlas benchmark. An agent skill from A-EVO-Lab/a-evolve.

    806 GitHub stars~982 tokensUpdated 1 mo ago
    Auto-check passed
  • Data Formats

    A-EVO-Lab/a-evolve

    Reading, writing, and converting common data formats (CSV, Excel, JSON, YAML) with correct handling of encoding, types, and edge cases.

    806 GitHub stars~638 tokensUpdated 1 mo ago
    Auto-check passed
  • Python Data Analysis

    A-EVO-Lab/a-evolve

    Best practices for multi-step Python tasks including data analysis, HuggingFace datasets, token counting, and any task requiring state across multiple python() calls.

    806 GitHub stars~476 tokensUpdated 1 mo ago
    Auto-check passed
  • Python Packages

    A-EVO-Lab/a-evolve

    Installing and using common Python packages in SkillBench containers.

    806 GitHub stars~556 tokensUpdated 1 mo ago
    Auto-check passed
  • Scientific Computing

    A-EVO-Lab/a-evolve

    Strategies for scientific computing, numerical methods, bioinformatics/DNA tasks, logic circuit design, algorithmic challenges, and ML training tasks.

    806 GitHub stars~495 tokensUpdated 1 mo ago
    Auto-check passed
  • Screenshot Analysis

    A-EVO-Lab/a-evolve

    How to interpret accessibility tree elements and correlate them with screenshot regions for accurate GUI interaction.

    806 GitHub stars~428 tokensUpdated 1 mo ago
    Auto-check passed

Questions about Environment Discovery

What does Environment Discovery do?

Strategies for quickly discovering what tools, languages, data files, and skills are available in a SkillBench container. Environment Discovery is an agent skill from A-EVO-Lab/a-evolve. Strategies for quickly discovering what tools, languages, data files, and skills are available in a SkillBench 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/skillbench/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/skillbench/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 (pip3 and python3). Our summary lists: Python 3.

Does Environment Discovery 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 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 340 tokens (SKILL.md is roughly 1.4k 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: Good Strategy Bad Strategy (wondelai/skills, 2.4k stars), Plain Language (thedaviddias/Front-End-Checklist, 74k stars), Product Strategy (phuryn/pm-skills, 27k stars) and Launch Strategy (alirezarezvani/claude-skills, 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 806 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.