Agent skill

Chart Tests

by astronomer in astronomer/airflow-chart

A skill your agent uses when writing, editing, reviewing, or running Helm chart tests for the Astronomer airflow-chart repository.

Custom licenceAuto-check passedData & Analytics

Install Chart Tests

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

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

GitHub CLI
$ gh skill install astronomer/airflow-chart chart-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/chart-tests .claude/skills/chart-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
chart-tests
GitHub stars
297
Token cost
~2.8k tokens
SKILL.md length
630 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 Helm chart tests for the Astronomer airflow-chart repository.

  • Works in 3 steps: Run tests through the project's managed… → Parent-chart values are top-level;… → No helm unittest plugin — all tests are…
  • Running Helm chart tests for the Astronomer airflow-chart repository
  • SKILL.md covers Critical Rules, Test Organization, Writing Tests and ConfigMap Scripts, plus 3 more sections
  • Calls uv, make and helm

What it does

Chart Tests is an agent skill from astronomer/airflow-chart. Use when writing, editing, reviewing, or running Helm chart tests for the Astronomer airflow-chart repository. Covers pytest patterns, renderchart() usage, sub-chart value nesting under airflow, parametrized tests, uv run commands, schema validation, and test organization.

Its SKILL.md is about 2.8k 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 Container orchestration, Data pipelines and ETL and Unit testing. It works with Apache Airflow, Helm, pytest and Kubernetes. The repository describes itself as: A Helm chart to install Apache Airflow on Kubernetes.

When your agent uses it

  • Running Helm chart tests for the Astronomer airflow-chart repository
  • Tasks that involve Container orchestration
  • Tasks that involve Data pipelines and ETL

Example prompts

  • “/chart-tests”

Requirements

  • Python 3
  • Docker

Workflow steps

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

  1. Run tests through the project's managed environment — make unittest-chart, uv run pytest, .venv/bin/python -m pytest, and .venv/bin/pytest…
  2. Parent-chart values are top-level; sub-chart values MUST be nested under airflow (see Parent-chart values vs. sub-chart values)
  3. No helm unittest plugin — all tests are pytest-based using render_chart()

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
    • make
    • helm
    • python
    • pytest
    • pip
    • python3

    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 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

Chart Tests loads about 2.8k tokens when it runs. Until then it costs about 72 tokens; SKILL.md has 630 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~72
When it runs · the whole SKILL.md, loaded when a task matches
~2.8k

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 630 words (~2,791 tokens).

“This is an umbrella (parent) chart. There are two kinds of values:”

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

Read the full SKILL.md on GitHub

Files

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

Open the folder on GitHubat commit a204c9c

Compare with similar skills

Chart 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.

Chart Tests compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Chart Tests this skillastronomer/airflow-chart297—~2.8kAutomated safety check: PassCustom licence
Chart Testsastronomer/astronomer491—~3.2kAutomated 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

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Questions about Chart Tests

What does Chart Tests do?

A skill your agent uses when writing, editing, reviewing, or running Helm chart tests for the Astronomer airflow-chart repository. Chart Tests is an agent skill from astronomer/airflow-chart. Use when writing, editing, reviewing, or running Helm chart tests for the Astronomer airflow-chart repository.

When should I use Chart Tests?

Chart Tests fits situations like: running Helm chart tests for the Astronomer airflow-chart repository; tasks that involve Container orchestration; tasks that involve Data pipelines and ETL.

How do I install Chart Tests in Claude Code?

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

How do I install Chart Tests in Codex?

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

Can I use Chart 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 chart-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/chart-tests, .gemini/skills/chart-tests, .github/skills/chart-tests and .opencode/skills/chart-tests in your project.

What does Chart Tests need to run?

Going by SKILL.md and its folder, Chart Tests needs the command-line tools its instructions call (uv, make, helm, python, pytest and pip). Our summary lists: Python 3; Docker.

Does Chart Tests access the network?

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

Is Chart 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 Chart Tests use?

Chart 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 Chart Tests use?

About 2.8k tokens (SKILL.md is roughly 11k 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 Chart Tests?

Skills that share tags, products or a category with Chart Tests: Chart Tests (astronomer/astronomer, 491 stars), Deploying Java SDK Bundles (astronomer/agents, 450 stars), Deploying Go SDK Bundles (astronomer/agents, 450 stars) and Helm Chart (astronomer/astronomer, 491 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Chart 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.