unit-tests-skills: AI agent skills for generating high-quality unit tests — Given-When-Then test cases, JUnit 5, Mockito, AssertJ

by mavka-ai · Agent Tool · ★ 54

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install unit-tests-skills

npx openskills install mavka-ai/unit-tests-skills
npx skills add mavka-ai/unit-tests-skills

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 72/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

agent-skillsagents-mdai-agentsai-coding-assistantassertjclaudeclaude-codecode-qualitycursordeveloper-tools

Quick Facts

Stars54
Forks7
LanguageShell
CategoryAgent Tool
LicenseMIT
Quality Score72/100
Last Updated2026-09-23
Created2026-01-29
Platformsclaude-code, cli
Est. Tokens~11k

About unit-tests-skills

AI agent skills for generating high-quality unit tests Website Mavka AI is the digital engineering company behind these skills. We help growing tech businesses eliminate architectural debt and accelerate development with AI — through codebase and infrastructure audits, technical debt remediation and system modernization, and knowledge transfer to client teams — so engineering stops being your...

Compatible Skills

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  • ok-skills — semantic(0.43)+complementary+similar_pop+shared_platform (55%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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