Borrowing it
Nothing to install: this file belongs to layermedya/Critic-MCP. 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/layermedya/Critic-MCP/main/AGENTS.mdgit clone --depth 1 https://github.com/layermedya/Critic-MCPWrote 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/layermedya/critic-mcp/agents-md)<a href="https://agentmods.dev/instructions/layermedya/critic-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/layermedya/critic-mcp/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/layermedya/critic-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/layermedya/critic-mcp/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 | $0.00808 | $0.00808 |
| Opus 5.5 | $0.00323 | $0.00323 |
| Sonnet 5.5 | $0.00162 | $0.00162 |
| Haiku 4.5 | $0.00081 | $0.00081 |
Grade A, and why
Critic-MCP 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 2mo 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 — 43 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Critic-MCP — Proje Anayasası
Amaç
Diğer AI kodlama asistanlarının (Cursor, OpenCode vb.) yazdığı kodu salt okunur olarak denetleyen, "İkinci Göz / Eleştirmen" rolünde açık kaynak bir MCP sunucusu. Tek tool: review_code. Kesinlikle dosyaya yazma yetkisi yoktur.
Teknoloji Yığını
- Node.js >= 20 (ESM,
"type": "module") ve TypeScript (NodeNext çözünürlük) @modelcontextprotocol/sdk— tek tool:review_code(stdio transport)zod— girdi şema doğrulaması (sonraki aşamada handler'a eklenecek)- LLM:
@google/genai(Gemini) veyaopenaipaketleri (OpenAI / DeepSeek uyumlu) - Yetkilendirme:
critic-mcp authCLI akışı →~/.critic-mcp.json(0600); env anahtarları dosyaya önceliklidir, asla hardcode değil
Klasör Yapısı
src/index.ts -> MCP sunucu (tools/list + tools/call), zod doğrulama, hata yönetimi, `auth` argv yönlendirmesi
src/schema.ts -> review_code zod girdi şeması (tek geçerli kaynak)
src/prompt.ts -> Kritic sistem promptu ve kullanıcı promptu birleştirici
src/llm.ts -> LLM istemci katmanı (gemini | openai | deepseek), zaman aşımı koruması
src/chunker.ts -> Satır-sonu bazlı kod parçalama (chunking) — varsayılan sınır 30.000 karakter
src/config.ts -> Global yapılandırma (~/.critic-mcp.json) + kimlik çözümleme (env → dosya)
src/cli.ts -> İnteraktif yetkilendirme akışı (`critic-mcp auth`)
tests/ -> Vitest birim testleri (validation.test.ts, llm.test.ts, chunking.test.ts, config.test.ts, cli.test.ts)
dist/ -> Derleme çıktısı (git'e girmiyor)
examples/ -> Manuel test: bad_code.js (SQLi+XSS+N+1) ve intent.txt
.env.example -> Çevresel değişken şablonu (tümü isteğe bağlı)
Standartlar
- Değişken/fonksiyon/dosya adları İngilizce; açıklama ve yorumlar Türkçe.
- Yalnızca istenen işlevi yaz (YAGNI); gereksiz soyutlamadan kaçın.
- Read-only prensibi: Sunucu hiçbir dosyaya yazamaz, sadece string rapor döner. Tek istisna:
authkomutunun~/.critic-mcp.json'a yazması (0600 izni, MCP sunucusu başlatılmadan). - LLM çıktısı standart metin olarak MCP istemcisine geri döner.
- Her derleme/değişiklik öncesi
npm run typecheckçalıştırılmalıdır.
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.
- 2mo ago First seen · 43 lines · 808 tokens per session scan A 212fc1efd3d9
Critic-MCP AGENTS.md is an instructions file published in the GitHub repository layermedya/Critic-MCP (0 stars, last pushed 2mo ago), licensed MIT. It adds 808 tokens to every session, about $0.0032 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 2026-08-31.
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).
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.