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Agent skill

Test Software

by hashgraph-online in hashgraph-online/awesome-codex-plugins

Design, implement, and evaluate risk-based software tests across unit, integration, contract, end-to-end, and regression layers.

Apache-2.0Auto-check passedTesting & QA

Install Test Software

skills CLI
$ npx skills add hashgraph-online/awesome-codex-plugins --skill test-software -a claude-code

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

GitHub CLI
$ gh skill install hashgraph-online/awesome-codex-plugins test-software --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/hashgraph-online/awesome-codex-plugins.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/Phelan164/codex-howto/skills/test-software .claude/skills/test-software && 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
test-software
GitHub stars
1.2k
Token cost
~508 tokens
SKILL.md length
219 words
Files
3 (incl. references)
Skills in repo
736
Repo updated
First seen
Licence
Apache-2.0

At a glance

Design, implement, and evaluate risk-based software tests across unit, integration, contract, end-to-end, and regression layers.

  • Works in 5 steps: risks in priority order; → proposed test layer for each risk; → fixtures and dependencies; → …
  • Reproducing bugs
  • SKILL.md covers Test contract and Execute and report
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Test Software is an agent skill from hashgraph-online/awesome-codex-plugins. Design, implement, and evaluate risk-based software tests across unit, integration, contract, end-to-end, and regression layers. Use when adding tests, reproducing bugs, improving coverage, diagnosing flaky tests, or defining a test strategy; do not use to change production behavior unless the user also requests implementation.

Its SKILL.md is about 510 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `agents/openai.yaml` and `references/test-strategy.md`).

It sits in Testing & QA, covering Test strategy and Failing and flaky tests. The repository describes itself as: A curated list of awesome OpenAI Codex / ChatGPT plugins, skills, and resources. The 1 Codex Marketplace. See live plugins at: https://hol.org/plugins/best-codex-plugins. The licence is Apache-2.0.

When your agent uses it

  • Reproducing bugs
  • Improving coverage
  • Diagnosing flaky tests
  • Defining a test strategy

Example prompts

  • “/test-software”

Workflow steps

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

  1. risks in priority order;
  2. proposed test layer for each risk;
  3. fixtures and dependencies;
  4. commands to run;
  5. coverage intentionally deferred.

What it can do on your machine

Read from SKILL.md and the folder at commit 16b4156. 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

Test Software loads about 508 tokens when it runs, and up to ~1.2k if it reads all its reference files. Until then it costs about 86 tokens; SKILL.md has 219 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~86
When it runs · the whole SKILL.md, loaded when a task matches
~508
With references · SKILL.md plus every file in references/, read only if the agent opens them
~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

The full file from hashgraph-online/awesome-codex-plugins at commit 16b4156, republished under its Apache-2.0 licence (© hashgraph-online). 219 words, ~508 tokens.

Download SKILL.mdSave it as .claude/skills/test-software/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
test-software
description
Design, implement, and evaluate risk-based software tests across unit, integration, contract, end-to-end, and regression layers. Use when adding tests, reproducing bugs, improving coverage, diagnosing flaky tests, or defining a test strategy; do not use to change production behavior unless the user also requests implementation.

Test Software

Test contract

  • Define the behavior, invariant, or defect before selecting a test layer.
  • Use the lowest layer that observes the risk without hiding the integration boundary under test.
  • Test behavior rather than private implementation details.
  • Avoid snapshots that hide meaningful assertions.
  • Do not mock the component whose integration contract is under test.
  • Control time, randomness, concurrency, and external dependencies explicitly.
  • Keep fixtures minimal and readable.
  • Do not “fix” flaky tests by adding blind retries or sleeps.
  • Do not claim a regression test without proving it fails against the broken behavior when feasible.
  • Treat tests as potentially state-changing: they may write databases, queues, files, snapshots, browsers, or external sandboxes.
  • Do not run tests against production, shared customer data, or external services without explicit authorization and a verified isolation strategy.
  • Stop when the configured test target or cleanup behavior is ambiguous.

Execute and report

Read references/test-strategy.md when choosing test layers or specialized methods, investigating flakes, or planning cross-service coverage.

Build deterministic fixtures, implement the smallest high-value set, and run focused tests repeatedly before broader required checks. Separate product, test, and environment failures.

For a strategy request, return:

  1. risks in priority order;
  2. proposed test layer for each risk;
  3. fixtures and dependencies;
  4. commands to run;
  5. coverage intentionally deferred.

For implementation, report focused and broader checks separately.

© hashgraph-online, 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

SKILL.md and 2 other files (references) in plugins/Phelan164/codex-howto/skills/test-software of hashgraph-online/awesome-codex-plugins.

  • SKILL.md
  • agents/openai.yaml
  • references/test-strategy.md

Open the folder on GitHubat commit 16b4156

Compare with similar skills

Test Software 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.

Test Software compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Test Software this skillhashgraph-online/awesome-codex-plugins1.2k—~508Automated safety check: PassApache-2.0
Testing Hashqlhashintel/hash1.7k—~1.9kAutomated safety check: PassAGPL-3.0
Handsontable Unit Testinghandsontable/handsontable22k—~1.2kAutomated safety check: PassCustom licence
Six Thinking Hatsproffesor-for-testing/agentic-qe494—~1.9kAutomated safety check: PassMIT
OpenLogi Change VerificationAprilNEA/OpenLogi23k—~1.4kAutomated safety check: PassApache-2.0
Designing TestsCloudAI-X/claude-workflow-v21.4k1 repos~1.5kAutomated safety check: PassMIT

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    Conventions for Handsontable's Jest unit and TypeScript type tests: where files go, how to run them, mocking limits and when to write an E2E test instead.

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Categories

Questions about Test Software

What does Test Software do?

Design, implement, and evaluate risk-based software tests across unit, integration, contract, end-to-end, and regression layers. Test Software is an agent skill from hashgraph-online/awesome-codex-plugins. Design, implement, and evaluate risk-based software tests across unit, integration, contract, end-to-end, and regression layers.

When should I use Test Software?

Test Software fits situations like: reproducing bugs; improving coverage; diagnosing flaky tests; defining a test strategy.

How do I install Test Software in Claude Code?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill test-software -a claude-code`. Or copy the skill folder (plugins/Phelan164/codex-howto/skills/test-software in hashgraph-online/awesome-codex-plugins) into .claude/skills/test-software in your project. Claude Code loads it when a task matches its description.

How do I install Test Software in Codex?

Run `npx skills add hashgraph-online/awesome-codex-plugins --skill test-software -a codex`. Or copy the skill folder (plugins/Phelan164/codex-howto/skills/test-software in hashgraph-online/awesome-codex-plugins) into .agents/skills/test-software in your project. Codex loads it when a task matches its description.

Can I use Test Software 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 hashgraph-online/awesome-codex-plugins --skill test-software -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/test-software, .gemini/skills/test-software, .github/skills/test-software and .opencode/skills/test-software in your project.

What does Test Software need to run?

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

Does Test Software 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 Test Software 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 Test Software use?

Test Software 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 Test Software use?

About 508 tokens (SKILL.md is roughly 2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 712 tokens, read only when the agent opens those files.

What are the alternatives to Test Software?

Skills that share tags, products or a category with Test Software: Testing Hashql (hashintel/hash, 1.7k stars), Handsontable Unit Testing (handsontable/handsontable, 22k stars), Six Thinking Hats (proffesor-for-testing/agentic-qe, 494 stars) and OpenLogi Change Verification (AprilNEA/OpenLogi, 23k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Test Software?

hashgraph-online (a GitHub organization) maintains it in hashgraph-online/awesome-codex-plugins, which has 1,232 GitHub stars. The repository holds 736 skills in this directory. The repository was last updated on October 6, 2026.

Source: hashgraph-online/awesome-codex-plugins on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.