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 | $0.01275 | $0.01275 |
| Opus 5.5 | $0.00510 | $0.00510 |
| Sonnet 5.5 | $0.00255 | $0.00255 |
| Haiku 4.5 | $0.00128 | $0.00128 |
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 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.
How it starts
The opening of the file, as written. The whole thing — 99 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. Runs the full workflow unattended: analyzes code, prints the test case list, generates test code, verifies it compiles and passes. 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
The recommended sequence is generate-test-cases → generate-tests, chained by the
agent: the first produces the plan, the second generates from that plan rather than
analyzing the target again. It also puts the list in front of the user before any code
is written, so it can be reviewed. See AGENTS.md.
/generate-tests on its own is the fallback, and handles the complete workflow
internally:
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.
- 1mo ago Changed · +8 lines · +114 tokens per session 03b6d6822585
- 1mo ago Changed · +1 lines · +95 tokens per session c289cd529bb6
- 2mo 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 (70 stars, last pushed 1mo ago), licensed MIT. It adds 1,275 tokens to every session, about $0.0051 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.
Other instructions, from other repositories
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).
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
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.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.