create-root-python

A Python file pattern for the application’s composition layer, where concrete parts are connected to their interfaces and the application is started. It separates dependency wiring from business rules.

In plain words
What is it for?
Use it to create feature containers that connect implementations to contracts, or entry files that start the application and combine feature containers.
Why use it?
It makes application startup and dependency connections easier to locate without hiding business behavior inside setup code.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/rakaarwaky/qwen-web-arwaky/create-root-python
Any agent
npx skills add rakaarwaky/qwen-web-arwaky --skill create-root-python
Clone the repo
git clone --depth 1 https://github.com/rakaarwaky/qwen-web-arwaky

Made for: Claude Code, Codex.

Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 399 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00040 $0.00399
Opus 5 $0.00020 $0.00199
Sonnet 5 $0.00008 $0.00080
Haiku 4.5 $0.00004 $0.00040

Measured 3d ago against content hash 3df64465c9a7, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

create-root-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 3d 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/create-root-python/SKILL.md · 50 lines

What it actually says

create-root-python

Root = composition layer that assembles the system. Connects concrete implementations to contracts and starts the application. May depend on all layers.

Two Root Roles

Role Suffix Responsibility
Container _container Wire one feature's Capabilities to Contracts
Entry _entry Bootstrap application, compose feature containers

Definition of Done

  1. Correct suffix: _container or _entry.
  2. Container: wires Capabilities to Contract protocols/aggregates.
  3. Entry: bootstraps application and composes feature containers.
  4. May instantiate and wire components.
  5. No business logic.
  6. No orchestration policy.
  7. No technical parsing or UI behavior.
  8. python -c "import <module>" passes.

Workflow

  1. Determine role — Container (wire one feature) or Entry (bootstrap all)?
  2. Create fileroot_<concept>_<suffix>.py.
  3. Wire deps → Connect Capabilities to Contract interfaces/aggregates.
  4. Verifypython -c "import <module>".
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. 3d ago First seen · 50 lines · 40 tokens per session scan A 3df64465c9a7

Subscribe to this mod's changes

create-root-python is a skill published in the GitHub repository rakaarwaky/qwen-web-arwaky (11 stars, last pushed 6d ago), licensed MIT. It adds 40 tokens to every session and 399 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.

Related

Other skills, from other repositories

bump-dependency

Bumps a Python package dependency across Home Assistant Core integrations, regenerates core requirement files, runs verification tests and prek lint, and prepares a pull request with proper release/compare links.

home-assistant/core · 42 tokens

biopython

Comprehensive molecular biology toolkit. Use for sequence manipulation, file parsing (FASTA/GenBank/PDB), phylogenetics, and programmatic NCBI/PubMed access (Bio.Entrez). Best for batch processing, custom bioinformatics pipelines, BLAST automation. For quick lookups use gget; for multi-service integration use…

K-Dense-AI/scientific-agent-skills · 76 tokens

marimo-pair

Work inside the user's live marimo notebook from the code editor: run Python in the same kernel the user does, inspect live notebook state, and commit durable notebook changes through code mode. Use whenever you create, analyze, or improve the user's marimo notebook.

marimo-team/marimo · 57 tokens

adk-style

Python style and codebase conventions for ADK (Agent Development Kit): private-by-default file visibility, imports, type hints, Pydantic v2 models, formatting, docstrings, logging, async I/O, file and test layout, and unit test structure. Use when writing or editing ADK source or tests, deciding whether a new file or…

google/adk-python · 187 tokens

coding

编写并运行 Python 代码,验证脚本逻辑和输出。.

bojieli/ai-agent-book · 18 tokens

ax-python-agent

Use when writing Python code with axllm for agents, child delegation, tools, MCP, citations, persistent playbook learning, stage instructions, runtime state, final typed responses, and direct-respond executor skipping.

ax-llm/ax · 49 tokens