Agent skill

Functional Tests

by astronomer in astronomer/astronomer

A skill your agent uses when writing, editing, reviewing, or running functional (end-to-end) tests for the Astronomer APC repository.

Custom licenceAuto-check passedTesting & QA

Install Functional Tests

skills CLI
$ npx skills add astronomer/astronomer --skill functional-tests -a claude-code

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

GitHub CLI
$ gh skill install astronomer/astronomer functional-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/astronomer/astronomer.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/functional-tests .claude/skills/functional-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
functional-tests
GitHub stars
491
Token cost
~2.2k tokens
SKILL.md length
493 words
Files
1
Skills in repo
4
Repo updated
First seen
Licence
Custom licence

At a glance

A skill your agent uses when writing, editing, reviewing, or running functional (end-to-end) tests for the Astronomer APC repository.

  • Works in 4 steps: Always run tests with uv run — never… → Pass --topology to bin/reset-local-dev… → Always use uppercase kubeconfig… → …
  • Running functional (end-to-end) tests for the Astronomer APC repository
  • SKILL.md covers Overview, Critical Rules, Installation Scenarios and Local Setup Workflow, plus 7 more sections
  • Calls make, uv and python

What it does

Functional Tests is an agent skill from astronomer/astronomer. Use when writing, editing, reviewing, or running functional (end-to-end) tests for the Astronomer APC repository. Covers scenario setup, testinfra patterns, kubeconfig helpers, fixture usage, flaky test handling, and test organization across unified/control/data installation scenarios.

Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Testing & QA, covering Container orchestration and Failing and flaky tests. It works with Kubernetes and pytest. The repository describes itself as: Helm Charts for the Astronomer Platform, Apache Airflow as a Service on Kubernetes.

When your agent uses it

  • Running functional (end-to-end) tests for the Astronomer APC repository
  • Tasks that involve Container orchestration
  • Tasks that involve Failing and flaky tests

Example prompts

  • “/functional-tests”

Requirements

  • Python 3

Workflow steps

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

  1. Always run tests with uv run — never python3 -m pytest or python -m pytest
  2. Pass --topology to bin/reset-local-dev (unified/control/data) before running — pytest itself needs no env var, it infers topology from the…
  3. Always use uppercase kubeconfig constants from tests.utils.k8s — KUBECONFIG_UNIFIED, KUBECONFIG_CONTROL, KUBECONFIG_DATA (not lowercase…
  4. Run bin/reset-local-dev before the first test run to set up the cluster

What it can do on your machine

Read from SKILL.md and the folder at commit 6a2b8ec. 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:

    • make
    • uv
    • python
    • python3
    • helm
    • kubectl

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

  • Network

    No URLs in SKILL.md. Its commands use uv, helm and kubectl, 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

Functional Tests loads about 2.2k tokens when it runs. Until then it costs about 76 tokens; SKILL.md has 493 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~76
When it runs · the whole SKILL.md, loaded when a task matches
~2.2k

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 493 words (~2,164 tokens).

“Functional tests run against a live Kubernetes cluster (kind) with the Helm chart installed. Unlike chart tests, they verify real runtime behavior: running processes, user identity, network reachability, and configuration values.”

— opening of SKILL.md by astronomer, Custom licence
name
functional-tests

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .agents/skills/functional-tests of astronomer/astronomer.

Open the folder on GitHubat commit 6a2b8ec

Compare with similar skills

Functional 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.

Functional Tests compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Functional Tests this skillastronomer/astronomer491—~2.2kAutomated safety check: PassCustom licence
Fix Flakeskubernetes-sigs/agent-sandbox4.2k—~1.1kAutomated safety check: PassApache-2.0
Debug E2E Pipelinekubernetes-sigs/cloud-provider-azure294—~3.4kAutomated safety check: PassApache-2.0
Measure Scenario TimesCybereason-Public/owLSM280—~676Automated safety check: PassGPL-2.0
Unblock Dependabot PRkubernetes-sigs/cloud-provider-azure294—~1.5kAutomated safety check: PassApache-2.0
Chart Testsastronomer/airflow-chart297—~2.8kAutomated safety check: PassCustom licence

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Questions about Functional Tests

What does Functional Tests do?

A skill your agent uses when writing, editing, reviewing, or running functional (end-to-end) tests for the Astronomer APC repository. Functional Tests is an agent skill from astronomer/astronomer. Use when writing, editing, reviewing, or running functional (end-to-end) tests for the Astronomer APC repository.

When should I use Functional Tests?

Functional Tests fits situations like: running functional (end-to-end) tests for the Astronomer APC repository; tasks that involve Container orchestration; tasks that involve Failing and flaky tests.

How do I install Functional Tests in Claude Code?

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

How do I install Functional Tests in Codex?

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

Can I use Functional 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 astronomer/astronomer --skill functional-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/functional-tests, .gemini/skills/functional-tests, .github/skills/functional-tests and .opencode/skills/functional-tests in your project.

What does Functional Tests need to run?

Going by SKILL.md and its folder, Functional Tests needs the command-line tools its instructions call (make, uv, python, python3, helm and kubectl). Our summary lists: Python 3.

Does Functional Tests 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 Functional 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 Functional Tests use?

Functional 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 Functional Tests use?

About 2.2k tokens (SKILL.md is roughly 8.7k 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 Functional Tests?

Skills that share tags, products or a category with Functional Tests: Fix Flakes (kubernetes-sigs/agent-sandbox, 4.2k stars), Debug E2E Pipeline (kubernetes-sigs/cloud-provider-azure, 294 stars), Measure Scenario Times (Cybereason-Public/owLSM, 280 stars) and Unblock Dependabot PR (kubernetes-sigs/cloud-provider-azure, 294 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Functional Tests?

astronomer (a GitHub organization) maintains it in astronomer/astronomer, which has 491 GitHub stars. The repository holds 4 skills in this directory. The repository was last updated on October 8, 2026.

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