qwen-web-arwaky: Skill for Claude Code

.agents/skills/lint-arwaky-python/SKILL.md

lint-arwaky-python is a skill for Claude Code, Codex from rakaarwaky/qwen-web-arwaky. It costs 33 tokens per session (4,083 once invoked), scanned A, original, MIT.

A Python code scanner and server that checks whether a project follows its required architecture rules. It can find layer violations and AES compliance problems.

In plain words
What is it for?
Use it to scan Python projects, check layer boundaries, generate reports, diagnose issues, and apply architecture fixes.
Why use it?
It helps reveal architecture mistakes that ordinary code linting may miss, so problems can be fixed before they spread.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: mentions Claude Code; installed under .agents/ (shared by several agents).

This is rakaarwaky/qwen-web-arwaky's own configuration. It tells Claude Code and Codex how to work on qwen-web-arwaky itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything qwen-web-arwaky configures →

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/rakaarwaky/qwen-web-arwaky/main/.agents/skills/lint-arwaky-python/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/rakaarwaky/qwen-web-arwaky

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for lint-arwaky-python

README.md
[![agentmods](https://agentmods.dev/badge/skills/rakaarwaky/qwen-web-arwaky/lint-arwaky-python.svg)](https://agentmods.dev/skills/rakaarwaky/qwen-web-arwaky/lint-arwaky-python)
Your own site
<a href="https://agentmods.dev/skills/rakaarwaky/qwen-web-arwaky/lint-arwaky-python"><img src="https://agentmods.dev/badge/skills/rakaarwaky/qwen-web-arwaky/lint-arwaky-python.svg" alt="Measured on agentmods" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,083 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 5 findings, up to medium

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • medium Prompt Injection · line 257
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
  • medium Prompt Injection · line 260
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
  • medium Prompt Injection · line 261
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
  • medium Prompt Injection · line 262
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
  • medium Prompt Injection · line 365
    Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.
    Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00033 $0.04083
Opus 5 $0.00016 $0.02041
Sonnet 5 $0.00007 $0.00817
Haiku 4.5 $0.00003 $0.00408

Measured 8d ago against content hash b372b5d70bc8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

lint-arwaky-python 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 8d 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.

.agents/skills/lint-arwaky-python/SKILL.md · 497 lines

How it starts

The opening of the file, as written. The whole thing — 497 lines — stays where its author put it; the contents beside it link to each section on GitHub.

lint-arwaky-python — Complete Command & Argument Reference

Run lint-arwaky-cli scanner and MCP server for Python projects. Validates AES (Architecture Error Standards) compliance, checks layer violations, and helps fix architecture issues.


Shell Aliases

Shortcut aliases are available for fast terminal access (automatically added to ~/.bashrc / ~/.zshrc):

Alias Target Binary Description Example Usage
lac lint-arwaky-cli Primary CLI gatekeeper & scanner lac scan ., lac fix, lac doctor
lat lint-arwaky-tui Terminal User Interface (TUI) dashboard lat
lam lint-arwaky-mcp MCP Server (STDIO backend for AI clients) Configured in Claude / Cursor / Windsurf

1. Global CLI Options

These options apply globally across all lint-arwaky-cli subcommands:

Option Long Flag Description
-v --verbose Enable debug logging and detailed diagnostic traces.
-q --quiet Minimize console output (suppress non-error messages).
-o --output-dir <DIR> Directory to save generated reports (overrides active configuration).
--filter <CODE> Filter scan results by specific AES rule code (e.g.AES101, AES301, AES401).
-h --help Print help information for the CLI or specific subcommand.
-V --version Print CLI binary version.

Read the full file on GitHub · 497 lines

Changes

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.

  1. 8d ago First seen · 497 lines · 33 tokens per session scan A b372b5d70bc8

Subscribe to this mod's changes

lint-arwaky-python is a skill published in the GitHub repository rakaarwaky/qwen-web-arwaky (12 stars, last pushed today), licensed MIT. It adds 33 tokens to every session and 4,083 once invoked, about $0.0002 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.

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