Borrowing it
Nothing to install: this file belongs to MarcZxc1/qwykz. 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/MarcZxc1/qwykz/main/AGENTS.mdgit clone --depth 1 https://github.com/MarcZxc1/qwykzWrote 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/marczxc1/qwykz/agents-md)<a href="https://agentmods.dev/instructions/marczxc1/qwykz/agents-md"><img src="https://agentmods.dev/badge/instructions/marczxc1/qwykz/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/marczxc1/qwykz/agents-md"><img src="https://agentmods.dev/badge/instructions/marczxc1/qwykz/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 | $0.01305 | $0.01305 |
| Opus 5 | $0.00652 | $0.00652 |
| Sonnet 5 | $0.00261 | $0.00261 |
| Haiku 4.5 | $0.00130 | $0.00130 |
Grade A, and why
qwykz 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 2d 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.
This is a copy
100% identical to ols4 AGENTS.md — 111 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 110 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md
Guidance and ground rules for AI agents and coding tools working on qwykz.
1. Project Overview & Philosophy
qwykz is an inspectable multi-stack project scaffolder built with Bun and TypeScript. It generates backends (Express, Hono, Elysia, Laravel, FastAPI, Go Fiber, Rust Axum), frontends (React, Vue), fullstack setups (Next.js, monorepos), database configurations, authentication, and Docker Compose environments.
Core principles:
- Deterministic & Inspectable: Output is planned completely in-memory before writing (
ScaffoldPlan). Staging prevents partial or corrupted writes. - Honest Capability Gating: Combinations are defined in
capability-matrix.json. If a combination isn't supported, fail fast before touching disk. - No AI Slop: Keep code lean, types precise, and documentation direct and human. Avoid vague marketing buzzwords.
2. Codebase Map
| Directory / File | Role |
|---|---|
src/cli.ts |
CLI entry point, execution coordinator, command runners |
src/prompts.ts |
Interactive prompt flows, non-interactive flag parsing |
src/presets.ts |
Curated stack presets (api-rust, api-go, web-nextjs, etc.) |
src/generator.ts |
Template resolution, overlay application, and staging pipeline |
src/plan.ts |
In-memory ScaffoldPlan builder and file list aggregator |
src/dispatcher.ts |
Target framework dispatchers (Node, Go, Python, Rust, etc.) |
src/manifest.ts |
.qwykz-manifest.json generation and audit serializer |
src/capability/ |
Capability matrix definitions and validation logic |
src/plugins/ |
Extensible plugin manifest and lifecycle management |
src/context-pack.ts |
Generates AGENTS.md for scaffolded projects |
templates/ |
Embedded templates for every supported stack |
scripts/ |
Validation scripts (validate-templates.ts, generate-capability-matrix.ts) |
tests/ |
Unit, CLI, E2E, matrix, and validation tests |
3. Outer-Loop Engineering Protocol
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.
- 2d ago Changed · +97 lines · +1,060 tokens per session 8f0f54f4e71a
- 9d ago First seen · 13 lines · 245 tokens per session scan A 6a4a2e13159f
qwykz AGENTS.md is an instructions file published in the GitHub repository MarcZxc1/qwykz (5 stars, last pushed 2d ago), licensed MIT. It adds 1,305 tokens to every session, about $0.0065 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to ols4 AGENTS.md, differing in 111 lines, and is treated as a copy.
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.