Borrowing it
Nothing to install: this file belongs to mavka-ai/unit-tests-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/mavka-ai/unit-tests-skills/main/CLAUDE.mdgit clone --depth 1 https://github.com/mavka-ai/unit-tests-skillsWrote 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.
[](https://agentmods.dev/instructions/mavka-ai/unit-tests-skills/claude-md)<a href="https://agentmods.dev/instructions/mavka-ai/unit-tests-skills/claude-md"><img src="https://agentmods.dev/badge/instructions/mavka-ai/unit-tests-skills/claude-md/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.
<a href="https://agentmods.dev/instructions/mavka-ai/unit-tests-skills/claude-md"><img src="https://agentmods.dev/badge/instructions/mavka-ai/unit-tests-skills/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.01066 | $0.01066 |
| Opus 5 | $0.00533 | $0.00533 |
| Sonnet 5 | $0.00213 | $0.00213 |
| Haiku 4.5 | $0.00107 | $0.00107 |
Grade A, and why
unit-tests-skills CLAUDE.md 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 10d 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.
How it starts
The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
What This Repo Is
A collection of AI agent skills (not a runnable application) for generating high-quality unit tests. Skills are installed into target projects via npx openskills install or npx skills add. There is no build system, test suite, or application code here — only skill definitions and rule documents.
Repository Structure
skills/
generate-test-cases/ # Skill: analyze code → output test case list
SKILL.md # Skill definition (frontmatter + instructions)
rules/general/ # General testing rules
generate-tests/ # Skill: generate actual test code from cases
SKILL.md
rules/tests/
general/ # General testing rules (superset of generate-test-cases rules)
java/unit/ # Java-specific rules (JUnit 5, Mockito, AssertJ)
post-generation/ # Compilation verification rules
templates/
AGENTS-SNIPPET.md # Template users copy into their project's AGENTS.md
Available Skills
| Command | Purpose |
|---|---|
/generate-tests <target> |
Generate unit tests for code. Handles the full workflow: analyzes code, outputs test cases for review, then generates test code. Supports Java (JUnit 5, Mockito, AssertJ). |
/generate-test-cases <target> |
Analyze code for test coverage and list needed test cases — without generating actual test code. Use for analysis-only. |
Workflow
/generate-tests is the primary skill — it handles the complete workflow internally:
- Analyzes code and outputs a structured test case list
- Asks the user to review test cases before proceeding
- Generates test code
- Verifies compilation
/generate-test-cases is available separately for analysis-only use cases (e.g., reviewing test coverage strategy without generating code).
Rules
Each skill's SKILL.md lists which rule files it reads. When a skill is invoked, the skill definition instructs the agent to read the rule files from the skill's own rules/ directory. The generate-tests skill has a superset of rules (includes Java-specific and post-generation rules).
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.
- 10d ago First seen · 90 lines · 1,066 tokens per session scan A 39863d6ee3f6
unit-tests-skills CLAUDE.md is an instructions file published in the GitHub repository mavka-ai/unit-tests-skills (50 stars, last pushed 2d ago), licensed MIT. It adds 1,066 tokens to every session, about $0.0053 per session on Opus 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.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.