Agent skill

Functional Tests

by astronomer in astronomer/airflow-chart

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

Custom licenceAuto-check passedData & Analytics

Install Functional Tests

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

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

GitHub CLI
$ gh skill install astronomer/airflow-chart 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/airflow-chart.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
297
Token cost
~2.2k tokens
SKILL.md length
666 words
Files
1
Skills in repo
3
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 airflow-chart repository.

  • Works in 4 steps: A cluster must be running with the chart… → The NAMESPACE env var selects the… → Run tests through the project's managed… → …
  • Running functional (end-to-end) tests for the Astronomer airflow-chart repository
  • SKILL.md covers Overview, Critical Rules, Local Setup Workflow and Environment Variables, plus 5 more sections
  • Calls uv, pip and python

What it does

Functional Tests is an agent skill from astronomer/airflow-chart. Use when writing, editing, reviewing, or running functional (end-to-end) tests for the Astronomer airflow-chart repository. Covers the kind-cluster workflow, testinfra pod fixtures, environment variables, and test organization.

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 Data & Analytics, covering Data pipelines and ETL, Container orchestration and Secrets management. It works with Apache Airflow, Kubernetes, Helm and Astro. The repository describes itself as: A Helm chart to install Apache Airflow on Kubernetes.

When your agent uses it

  • Running functional (end-to-end) tests for the Astronomer airflow-chart repository
  • Tasks that involve Data pipelines and ETL
  • Tasks that involve Container orchestration

Example prompts

  • “/functional-tests”

Requirements

  • Python 3
  • Docker

Workflow steps

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

  1. A cluster must be running with the chart installed before tests can pass — use bin/reset-local-dev (quick) or bin/run-ci (full CI flow).
  2. The NAMESPACE env var selects the namespace the fixtures look in; it defaults to airflow when unset.
  3. Run tests through the project's managed environment — uv run pytest, .venv/bin/python -m pytest, and .venv/bin/pytest are all valid (CI…
  4. There is one installation (no unified/control/data scenarios) — everything is deployed into the airflow namespace.

What it can do on your machine

Read from SKILL.md and the folder at commit a204c9c. 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:

    • uv
    • pip
    • python
    • helm
    • airflow
    • kubectl
    • pytest

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

  • Network

    Links to these hosts (documentation or services it may open):

    • testinfra.readthedocs.io

    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 61 tokens; SKILL.md has 666 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~61
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 666 words (~2,196 tokens).

“Functional tests run against a live Kubernetes cluster (kind) with the chart installed. Unlike chart tests (which only render templates), they verify real runtime behavior: that binaries are on PATH, that the right pip packages and versions are installed in…”

— 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/airflow-chart.

Open the folder on GitHubat commit a204c9c

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/airflow-chart297—~2.2kAutomated safety check: PassCustom licence
Deploying Java SDK Bundlesastronomer/agents450—~2.8kAutomated safety check: NotesApache-2.0
Deploying Go SDK Bundlesastronomer/agents450—~1.8kAutomated safety check: NotesApache-2.0
Helm Chartastronomer/astronomer491—~6.5kAutomated safety check: PassCustom licence
Paidf Orchestration Write DagNVIDIA/skills3.5k—~8.2kAutomated safety check: PassApache-2.0
Paidf Orchestration SetupNVIDIA/skills3.5k—~3.8kAutomated safety check: WarnApache-2.0

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

When should I use Functional Tests?

Functional Tests fits situations like: running functional (end-to-end) tests for the Astronomer airflow-chart repository; tasks that involve Data pipelines and ETL; tasks that involve Container orchestration.

How do I install Functional Tests in Claude Code?

Run `npx skills add astronomer/airflow-chart --skill functional-tests -a claude-code`. Or copy the skill folder (.agents/skills/functional-tests in astronomer/airflow-chart) 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/airflow-chart --skill functional-tests -a codex`. Or copy the skill folder (.agents/skills/functional-tests in astronomer/airflow-chart) 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/airflow-chart --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 (uv, pip, python, helm, airflow and kubectl). Our summary lists: Python 3; Docker.

Does Functional Tests access the network?

SKILL.md names 1 domain. As links in the text: testinfra.readthedocs.io. 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 8.8k 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: Deploying Java SDK Bundles (astronomer/agents, 450 stars), Deploying Go SDK Bundles (astronomer/agents, 450 stars), Helm Chart (astronomer/astronomer, 491 stars) and Paidf Orchestration Write Dag (NVIDIA/skills, 3.5k 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/airflow-chart, which has 297 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on October 6, 2026.

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