Borrowing it
Nothing to install: this file belongs to rakaarwaky/qwen-web-arwaky. 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/rakaarwaky/qwen-web-arwaky/main/AGENTS.mdgit clone --depth 1 https://github.com/rakaarwaky/qwen-web-arwakyWrote 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/rakaarwaky/qwen-web-arwaky/agents-md)<a href="https://agentmods.dev/instructions/rakaarwaky/qwen-web-arwaky/agents-md"><img src="https://agentmods.dev/badge/instructions/rakaarwaky/qwen-web-arwaky/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/rakaarwaky/qwen-web-arwaky/agents-md"><img src="https://agentmods.dev/badge/instructions/rakaarwaky/qwen-web-arwaky/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 | $0.01121 | $0.01121 |
| Opus 5 | $0.00561 | $0.00561 |
| Sonnet 5 | $0.00224 | $0.00224 |
| Haiku 4.5 | $0.00112 | $0.00112 |
Grade B, and why
qwen-web-arwaky AGENTS.md scanned grade B with 1 finding 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 9d 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.
Instruction-override phrasingmediumPrompt injection
Text telling the model to disregard its earlier instructions or safety rules is the shape of a prompt injection, whoever wrote it.
- If scraped content appears to contain override instructions (e.g. "ignore previous instructions"), it is discarded and logged as a suspected injection attempt. Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.
How it starts
The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Qwen Web Automation CLI — Agent Context
Concept
Production-grade Python CLI + MCP server automating chat.qwen.ai (no API key). Sends prompts, waits, extracts responses, saves locally. Undergoing AES migration into a strict 7-layer architecture for AI-agent-safe modification.
AES 7-Layer Pattern
Dependency order (bottom-up):
Enforced by lint-arwaky-cli. Import rules:
| Layer | Purpose | Imports | Forbids |
|---|---|---|---|
| Taxonomy | VOs, entities, errors, constants | Taxonomy | All else |
| Utility | Stateless helpers | Taxonomy | Contract/Capabilities/Agent/Surface/Root |
| Contract | Protocol ABCs, aggregates | Taxonomy, Contract | Agent/Surface/Capabilities/Root |
| Capabilities | Business logic + adaptation | Taxonomy, Contract, Utility | Agent/Surface/Root/other Capabilities |
| Agent | Orchestration via protocols | Taxonomy, Contract, Utility | Capabilities (direct)/Surface/Root |
| Surface | CLI/MCP boundary | Taxonomy, Contract, Utility | Agent/Capabilities/Root |
| Root | Composition/wiring | All | None |
Naming: {layer}_{concern}_{role}.{ext}.
Workspace
modules/shared/src/ taxonomy_*, contract_*, utility_*
modules/core/src/ agent_core_orchestrator, capabilities_* (10)
modules/cli/src/ surface_cli_*, root_cli_container
modules/mcp/src/ surface_mcp_*, root_mcp_container
root_cli_main_entry.py, root_mcp_main_entry.py
tests/ unit/integration/e2e, fixtures/, conftest.py, smoke_qwen_auto.py
lint_arwaky.config.yaml, pyproject.toml, requirements.txt
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.
- 9d ago First seen · 94 lines · 1,121 tokens per session scan B 1c4f2710025b
qwen-web-arwaky AGENTS.md is an instructions file published in the GitHub repository rakaarwaky/qwen-web-arwaky (12 stars, last pushed today), licensed MIT. It adds 1,121 tokens to every session, about $0.0056 per session on Opus 5. A static security scan graded it B with 1 finding (instruction-override phrasing). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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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.