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Agent skill

Testing

by open-edge-platform in open-edge-platform/anomalib

Review/generate unit, integration, and regression test expectations

Apache-2.0Auto-check passedTesting & QA

Install Testing

skills CLI
$ npx skills add open-edge-platform/anomalib --skill testing -a claude-code

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

GitHub CLI
$ gh skill install open-edge-platform/anomalib testing --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/open-edge-platform/anomalib.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/testing .claude/skills/testing && 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
testing
GitHub stars
6.2k
Token cost
~531 tokens
SKILL.md length
279 words
Files
1
Skills in repo
17
Repo updated
First seen
Licence
Apache-2.0

At a glance

Review/generate unit, integration, and regression test expectations

  • Testing & QA work in your project
  • SKILL.md covers Purpose and scope, Request changes when, Test placement and scope and Test style, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Testing is an agent skill from open-edge-platform/anomalib. Review/generate unit, integration, and regression test expectations

Its SKILL.md is about 530 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. The repository describes itself as: An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference. The licence is Apache-2.0.

When your agent uses it

  • Testing & QA work in your project

Example prompts

  • “/testing”

What it can do on your machine

Read from SKILL.md and the folder at commit 6f54715. 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

    No scripts in the folder and no shell commands in SKILL.md.

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

  • Network

    No URLs in SKILL.md.

    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

Testing loads about 531 tokens when it runs. Until then it costs about 19 tokens; SKILL.md has 279 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~19
When it runs · the whole SKILL.md, loaded when a task matches
~531

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

The full file from open-edge-platform/anomalib at commit 6f54715, republished under its Apache-2.0 licence (© open-edge-platform). 279 words, ~531 tokens.

Download SKILL.mdSave it as .claude/skills/testing/SKILL.md (or your agent's skills folder).
name
testing
description
Review/generate unit, integration, and regression test expectations

Anomalib Testing Review/Generation

Use this skill when reviewing/generating additions or changes that should be covered by tests.

Purpose and scope

Use this skill to decide what test coverage is required and whether existing tests still prove the intended behavior.

Request changes when

  • new behavior ships without tests;
  • behavior changes update code but not existing tests;
  • a bug fix has no regression test when one is feasible;
  • tests are flaky, network-dependent, or placed in the wrong area of the suite.

Test placement and scope

  • Tests should live under tests/ and generally mirror the code area they validate.
  • Prefer the established split between tests/unit/ and tests/integration/.
  • Ask for unit tests for new behavior and for integration coverage when cross-component behavior changes.

Test style

  • Follow pytest conventions already used in the repo.
  • Prefer fixtures and parametrization where they improve clarity and coverage.
  • Keep tests offline and deterministic where practical.
  • For tensor-heavy logic, ensure tests assert the properties that matter: shapes, values, reconstruction behavior, errors, or invariants.

Regression mindset

  • Bug fixes should include a regression test when feasible.
  • Behavior changes should update existing tests, not only add new ones.
  • If the change touches CLI/config/model loading or pipeline orchestration, review whether a higher-level test is also needed.

Repo-grounded review anchors

  • pyproject.toml for pytest markers and test path configuration

Review prompts

  • What test proves the new behavior works?
  • What existing behavior could regress because of this change?
  • Is the test placed in the right part of the suite?
  • Does the change need both unit and integration coverage?

Reviewer checklist

  • Check that new behavior has test coverage.
  • Check that changed behavior updates old tests too.
  • Check placement under tests/unit/ or tests/integration/.
  • Check determinism and offline execution.

© open-edge-platform, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .agents/skills/testing of open-edge-platform/anomalib.

Open the folder on GitHubat commit 6f54715

Compare with similar skills

Testing 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.

Testing compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Testing this skillopen-edge-platform/anomalib6.2k—~531Automated safety check: PassApache-2.0
Web Application Testinganthropics/skills180k51 repos~966Automated safety check: PassApache-2.0
Diagnosing Bugsfossasia/eventyay-interpretation1.6k32 repos~2.1kAutomated safety check: PassApache-2.0
TDDpietheinstrengholt/rssmonster56430 repos~906Automated safety check: PassMIT
TDD WorkflowhellangleZ/burn-in-cceverywhere-ralph11211 repos~2.4kAutomated safety check: PassNone
TDDsanity-io/sanity6.4k20 repos~1kAutomated safety check: PassMIT

Similar skills

  • Web Application Testing

    anthropics/skills

    Official

    Tests local web applications with Python Playwright scripts, checking frontend behavior, capturing screenshots and reading browser console logs.

    180k GitHub starsUsed in 51 repos~966 tokens
    Testing & QAAuto-check passed

  • Diagnosing Bugs

    fossasia/eventyay-interpretation

    Diagnosis loop for hard bugs and performance regressions. An agent skill from fossasia/eventyay-interpretation.

    1.6k GitHub starsUsed in 32 repos~2.1k tokens
    Testing & QAAuto-check passed

  • TDD

    pietheinstrengholt/rssmonster

    Test-driven development. An agent skill from pietheinstrengholt/rssmonster.

    564 GitHub starsUsed in 30 repos~906 tokens
    Testing & QAAuto-check passed

  • TDD Workflow

    hellangleZ/burn-in-cceverywhere-ralph

    A skill your agent uses when writing new features, fixing bugs, or refactoring code.

    112 GitHub starsUsed in 11 repos~2.4k tokens
    Testing & QAAuto-check passed

  • TDD

    sanity-io/sanity

    Official

    Test-driven development with red-green-refactor loop. An agent skill from sanity-io/sanity.

    6.4k GitHub starsUsed in 20 repos~1k tokens
    Testing & QAAuto-check passed

  • Context Driven Development

    Ibrahim-3d/orchestrator-supaconductor

    A skill your agent uses when working with Conductor's context-driven development methodology, managing project context artifacts, or understanding the relationship between product.md, tech-stack.md…

    380 GitHub starsUsed in 9 repos~2.9k tokens
    Testing & QAAuto-check passed

More from open-edge-platform/anomalib

All 17 skills in this repo

  • Anomalib Adding A Datamodule

    open-edge-platform/anomalib

    Adds a new dataset/datamodule to anomalib under src/anomalib/data/.

    6.2k GitHub stars~3.7k tokensUpdated today
    Auto-check passed

  • Anomalib Adding A Model

    open-edge-platform/anomalib

    Adds a new anomaly-detection model to anomalib under src/anomalib/models/.

    6.2k GitHub stars~1.9k tokensUpdated today
    Auto-check passed

  • Anomalib Benchmarking

    open-edge-platform/anomalib

    Runs the anomalib benchmarking pipeline to train/evaluate a grid of model + dataset (+ category) combinations and collect metrics into a results CSV.

    6.2k GitHub stars~1k tokensUpdated today
    Auto-check passed

  • Anomalib Tiled Ensemble

    open-edge-platform/anomalib

    Runs and configures the anomalib tiled-ensemble pipeline, which trains/evaluates one model per image tile and merges results (with optional seam smoothing) for high-resolution anomaly detection.

    6.2k GitHub stars~1.4k tokensUpdated today
    Auto-check passed

  • Anomalib Training

    open-edge-platform/anomalib

    Trains an anomalib model on a dataset via the Python API or CLI, including training on a custom folder-structured dataset with the Folder datamodule.

    6.2k GitHub stars~1.4k tokensUpdated today
    Auto-check passed

  • Model Sample Image Export

    open-edge-platform/anomalib

    Export, validate, and publish model sample-result images into docs/source/images and reference them from README/docs pages.

    6.2k GitHub stars~874 tokensUpdated today
    Auto-check passed

Categories

Questions about Testing

What does Testing do?

Review/generate unit, integration, and regression test expectations. Testing is an agent skill from open-edge-platform/anomalib.

When should I use Testing?

Testing fits situations like: testing & QA work in your project.

How do I install Testing in Claude Code?

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

How do I install Testing in Codex?

Run `npx skills add open-edge-platform/anomalib --skill testing -a codex`. Or copy the skill folder (.agents/skills/testing in open-edge-platform/anomalib) into .agents/skills/testing in your project. Codex loads it when a task matches its description.

Can I use Testing 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 open-edge-platform/anomalib --skill testing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/testing, .gemini/skills/testing, .github/skills/testing and .opencode/skills/testing in your project.

What does Testing need to run?

SKILL.md names no scripts, command-line tools or credentials: Testing is instructions for the agent only.

Does Testing 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 Testing 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 Testing use?

Testing is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Testing use?

About 531 tokens (SKILL.md is roughly 2.1k 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 Testing?

Skills that share tags, products or a category with Testing: Web Application Testing (anthropics/skills, 180k stars), Diagnosing Bugs (fossasia/eventyay-interpretation, 1.6k stars), TDD (pietheinstrengholt/rssmonster, 564 stars) and TDD Workflow (hellangleZ/burn-in-cceverywhere-ralph, 112 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Testing?

open-edge-platform (a GitHub organization) maintains it in open-edge-platform/anomalib, which has 6,226 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 7, 2026.

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