Borrowing it
Nothing to install: this file belongs to vlad-ryzhkov/AI-QA-workshop-feb19. 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/vlad-ryzhkov/AI-QA-workshop-feb19/main/AGENTS.mdgit clone --depth 1 https://github.com/vlad-ryzhkov/AI-QA-workshop-feb19Wrote 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/vlad-ryzhkov/ai-qa-workshop-feb19/agents-md)<a href="https://agentmods.dev/instructions/vlad-ryzhkov/ai-qa-workshop-feb19/agents-md"><img src="https://agentmods.dev/badge/instructions/vlad-ryzhkov/ai-qa-workshop-feb19/agents-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/vlad-ryzhkov/ai-qa-workshop-feb19/agents-md"><img src="https://agentmods.dev/badge/instructions/vlad-ryzhkov/ai-qa-workshop-feb19/agents-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 | $0.00503 | $0.00503 |
| Opus 5 | $0.00251 | $0.00251 |
| Sonnet 5 | $0.00101 | $0.00101 |
| Haiku 4.5 | $0.00050 | $0.00050 |
Grade A, and why
AI-QA-workshop-feb19 AGENTS.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 — 48 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Project Context Bridge
CORE INSTRUCTION
YOU MUST READ AND FOLLOW CLAUDE.md AT THE ROOT OF THIS PROJECT.
CLAUDE.md is the Single Source of Truth for:
- Tech Stack: Kotlin, JUnit 5, Allure, ktlint — LOCKED.
- Safety Protocols: No destructive commands, no .env leaks.
- Code Style: Formatting, naming conventions, assertion rules.
- Communication Protocol: CLI-mode, no preambles, tool-first.
QA AGENT PERSONA
YOU MUST ALSO READ: .claude/qa_agent.md
qa_agent.md defines:
- QA Lead philosophy and mindset
- Anti-patterns to avoid
- Workflow protocols (Fail Fast, Compilation Gate)
CRITICAL BEHAVIOR
- If
CLAUDE.mdconflicts with any other instruction,CLAUDE.mdWINS. - Do NOT generate code that violates the strict dependencies listed in
CLAUDE.md. - All documentation and skill content must be written in Russian, unless explicitly stated otherwise.
AVAILABLE SKILLS
Invoke with $skill-name or via the skill selector:
| Skill | Назначение |
|---|---|
$repo-scout |
Сканирование репозитория |
$spec-audit |
QA-аудит требований |
$test-cases |
Тест-кейсы из спецификации |
$api-tests |
API автотесты (Kotlin) |
$screenshot-analyze |
Анализ скриншотов на L10N дефекты |
$doc-lint |
Аудит документации |
$skill-audit |
Аудит SKILL.md файлов |
$init-skill |
Создание нового скилла |
$init-agent |
Создание qa_agent.md |
$init-project |
Инициализация CLAUDE.md проекта |
$update-ai-setup |
Обновление реестра AI-сетапа |
$output-review |
Независимый аудит результата скилла |
Recommended Workflow: $repo-scout → $spec-audit → $test-cases → $api-tests
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 · 48 lines · 503 tokens per session scan A 2bc1e71a9c6a
AI-QA-workshop-feb19 AGENTS.md is an instructions file published in the GitHub repository vlad-ryzhkov/AI-QA-workshop-feb19 (25 stars, last pushed 6mo ago), licensed Unlicense. It adds 503 tokens to every session, about $0.0025 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).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
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.