Official agent skill

Conda Env Tests

by JetBrains in JetBrains/intellij-community

Bump the pinned Miniconda version for the Python conda env tests.

OfficialCustom licenceAuto-check passed

Install Conda Env Tests

skills CLI
$ npx skills add JetBrains/intellij-community --skill conda-env-tests -a claude-code

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

GitHub CLI
$ gh skill install JetBrains/intellij-community conda-env-tests --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/JetBrains/intellij-community.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/conda-env-tests .claude/skills/conda-env-tests && 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
conda-env-tests
GitHub stars
21k
Token cost
~1.2k tokens
SKILL.md length
585 words
Files
1
Skills in repo
39
Repo updated
First seen
Licence
Custom licence

At a glance

Bump the pinned Miniconda version for the Python conda env tests.

  • Works in 4 steps: Open… → Take the highest version. Do not use… → Check that all four names above exist… → …
  • SKILL.md covers Where the pin lives, The version token, How to pick a new pin and When to add an entry instead…, plus 4 more sections
  • Calls conda; reaches repo.anaconda.com

What it does

Conda Env Tests is an agent skill from JetBrains/intellij-community, published by the product's own GitHub organization. Bump the pinned Miniconda version for the Python conda env tests.

Its SKILL.md is about 1.2k 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 and JetBrains IDEs. The repository describes itself as: IntelliJ IDEA & IntelliJ Platform.

Example prompts

  • “/conda-env-tests”

Requirements

  • Python 3

Workflow steps

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

  1. Open https://repo.anaconda.com/miniconda/. The page lists every installer with its date and
  2. Take the highest version. Do not use Miniconda3-latest-*. The cache key holds the token, so a
  3. Check that all four names above exist for that token. Anaconda drops a platform from time to
  4. Keep the py312 prefix unless you have a reason to change it. The prefix only sets the Python

What it can do on your machine

Read from SKILL.md and the folder at commit cbaf50b. 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:

    • conda

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • repo.anaconda.com

    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

Conda Env Tests loads about 1.2k tokens when it runs. Until then it costs about 20 tokens; SKILL.md has 585 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~20
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k

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

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 585 words (~1,220 tokens).

“The Python env tests download and install Miniconda. They pin an exact installer version. This skill tells you how to move a pin.”

— opening of SKILL.md by JetBrains, Custom licence
name
conda-env-tests

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .agents/skills/conda-env-tests of JetBrains/intellij-community.

Open the folder on GitHubat commit cbaf50b

Compare with similar skills

Conda Env Tests 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.

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Conda Env Tests this skillJetBrains/intellij-community21k—~1.2kAutomated safety check: PassCustom licence
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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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Questions about Conda Env Tests

What does Conda Env Tests do?

Bump the pinned Miniconda version for the Python conda env tests. Conda Env Tests is an agent skill from JetBrains/intellij-community, published by the product's own GitHub organization. Bump the pinned Miniconda version for the Python conda env tests.

How do I install Conda Env Tests in Claude Code?

Run `npx skills add JetBrains/intellij-community --skill conda-env-tests -a claude-code`. Or copy the skill folder (.agents/skills/conda-env-tests in JetBrains/intellij-community) into .claude/skills/conda-env-tests in your project. Claude Code loads it when a task matches its description.

How do I install Conda Env Tests in Codex?

Run `npx skills add JetBrains/intellij-community --skill conda-env-tests -a codex`. Or copy the skill folder (.agents/skills/conda-env-tests in JetBrains/intellij-community) into .agents/skills/conda-env-tests in your project. Codex loads it when a task matches its description.

Can I use Conda Env Tests 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 JetBrains/intellij-community --skill conda-env-tests -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/conda-env-tests, .gemini/skills/conda-env-tests, .github/skills/conda-env-tests and .opencode/skills/conda-env-tests in your project.

What does Conda Env Tests need to run?

Going by SKILL.md and its folder, Conda Env Tests needs the command-line tools its instructions call (conda). Our summary lists: Python 3.

Does Conda Env Tests access the network?

SKILL.md names 1 domain. In commands or code: repo.anaconda.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Conda Env Tests 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 Conda Env Tests use?

Conda Env Tests has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Conda Env Tests use?

About 1.2k tokens (SKILL.md is roughly 4.9k 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 Conda Env Tests?

Skills that share tags, products or a category with Conda Env Tests: 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 Conda Env Tests?

JetBrains (a GitHub organization, an official publisher) maintains it in JetBrains/intellij-community, which has 20,617 GitHub stars. The repository holds 39 skills in this directory. The repository was last updated on October 9, 2026.

Source: JetBrains/intellij-community on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.