generate-tests

generate-tests is a skill for Claude Code from mavka-ai/unit-tests-skills. It costs 63 tokens per session (1,899 once invoked), scanned A, original, MIT.

A coding aid that examines Java code and creates unit tests, which check individual pieces of code in isolation. It first lists proposed test cases for review, then writes tests using Java testing tools such as JUnit 5.

In plain words
What is it for?
Use it when you need unit tests for Java classes or methods, including tests that use Mockito and AssertJ. It can also add missing tests to an existing test file after checking related code and project conventions.
Why use it?
It reduces the time spent understanding unfamiliar code and planning test scenarios. Reviewing the test list before code is written also makes missing or incorrect cases easier to spot.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the unit-tests-skills plugin — 2 skills shipped together

Good fit Use it when you need unit tests for Java classes or methods, including tests that use Mockito and AssertJ. It can also add missing tests to an existing test file after checking related code and project conventions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/mavka-ai/unit-tests-skills/generate-tests
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add mavka-ai/unit-tests-skills --skill generate-tests
Clone the repo
git clone --depth 1 https://github.com/mavka-ai/unit-tests-skills

Made for: Claude Code.

Or install unit-tests-skills, the plugin that ships this one along with the rest of its 2 skills.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for generate-tests

README.md
[![agentmods](https://agentmods.dev/badge/skills/mavka-ai/unit-tests-skills/generate-tests/github.svg)](https://agentmods.dev/skills/mavka-ai/unit-tests-skills/generate-tests)
Your own site
<a href="https://agentmods.dev/skills/mavka-ai/unit-tests-skills/generate-tests"><img src="https://agentmods.dev/badge/skills/mavka-ai/unit-tests-skills/generate-tests/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for generate-tests

Your own site · 80×15
<a href="https://agentmods.dev/skills/mavka-ai/unit-tests-skills/generate-tests"><img src="https://agentmods.dev/badge/skills/mavka-ai/unit-tests-skills/generate-tests.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 63 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,899 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00063 $0.01899
Opus 5.5 $0.00025 $0.00760
Sonnet 5.5 $0.00013 $0.00380
Haiku 4.5 $0.00006 $0.00190

Measured 1mo ago against content hash 60023dceb3a5, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

generate-tests scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/generate-tests/SKILL.md · 182 lines

How it starts

The opening of the file, as written. The whole thing — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Generate Tests Skill

You will analyze code and generate high-quality unit tests for a given target.

Target to test: $ARGUMENTS

Quality Standards

  • Take your time to analyze the code thoroughly before generating test cases.
  • Quality is more important than speed — read all relevant source files and rules carefully.
  • Do not skip any step in the workflow below. Every step exists for a reason.
  • Do not take shortcuts with test data — read the actual classes to use correct constructors and fields.

Instructions

Step 1: Read Rules and Analyze Context

  1. Read the relevant rules from ./rules/tests/ based on code type (see Rules Reference below)
  2. Read the target source file/class/method
  3. Read dependencies: Follow imports to read DTOs, entities, enums, custom exceptions, and other types referenced by the target (as specified in code-context-analysis rule)
  4. Check for existing tests: Search for {ClassName}Test or {ClassName}Tests in the test directory (as specified in existing-test-awareness rule)
    • If found, read fully — you will add missing tests to it, not create a new file
    • If not found, scan 2-3 neighboring test classes to learn project conventions

Step 2: Establish the Test Case List

If a test case list for this target is already present — generate-test-cases ran first, whether the user invoked it or the agent did — that list is the plan. Generate from it. Do not re-analyze the target from scratch; where your reading of the code differs, name the cases you add or drop and why, so the change to the plan is visible.

If there is no such list, produce one here before writing any test code:

  1. Analyze ALL code branches, including:
    • Success paths
    • Error/exception paths
    • Validation logic
    • Private/protected methods called by the target
    • Security annotations (if present)
  2. Apply the INCLUDE/EXCLUDE rules strictly
  3. Output the list in the format below

Either way, continue straight to Step 3. The list is printed so the user can audit the plan against the generated tests afterwards; the run stays unattended end to end.

Read the full file on GitHub · 182 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 1mo ago Changed · +1 lines 60023dceb3a5
  2. 1mo ago Changed · -6 lines · +10 tokens per session be1e7ade42c9
  3. 2mo ago First seen · 187 lines · 53 tokens per session scan A 76d9316b6297

Subscribe to this mod's changes

generate-tests is a skill published in the GitHub repository mavka-ai/unit-tests-skills (70 stars, last pushed 1mo ago), licensed MIT. It adds 63 tokens to every session and 1,899 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.