autonomous_building

autonomous_building is a skill for Claude Code, Codex from deeleeramone/PyWry. It costs 19 tokens per session (1,278 once invoked), scanned A, original, Apache-2.0.

A guide for using PyWry, a Python toolkit for building widget-based desktop applications, through an AI-assisted process.

In plain words
What is it for?
Building a complete PyWry application from a plain-English description, inspecting an AI-generated plan, and exporting files such as Python code, dependencies, documentation, and widgets.
Why use it?
It reduces the need to manually plan each build step and helps gather requirements, create the project, and show progress during longer builds.

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/deeleeramone/pywry/autonomous_building
Any agent
npx skills add deeleeramone/PyWry --skill autonomous_building
Clone the repo
git clone --depth 1 https://github.com/deeleeramone/PyWry

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 autonomous_building

README.md
[![agentmods](https://agentmods.dev/badge/skills/deeleeramone/pywry/autonomous_building.svg)](https://agentmods.dev/skills/deeleeramone/pywry/autonomous_building)
Your own site
<a href="https://agentmods.dev/skills/deeleeramone/pywry/autonomous_building"><img src="https://agentmods.dev/badge/skills/deeleeramone/pywry/autonomous_building.svg" alt="Measured on agentmods" height="20"></a>
Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,278 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 $0.00019 $0.01278
Opus 5 $0.00010 $0.00639
Sonnet 5 $0.00004 $0.00256
Haiku 4.5 $0.00002 $0.00128

Measured 4d ago against content hash dd50c1e3a2b2, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

autonomous_building 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 4d 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.

pywry/pywry/mcp/skills/autonomous_building/SKILL.md · 184 lines

How it starts

The opening of the file, as written. The whole thing — 184 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Autonomous Application Building

This skill teaches agents how to use PyWry MCP's agentic tools to autonomously design, build, and export complete widget applications from a plain-English description.

When to Use These Tools

Use the agentic tools when you need to:

  • Build a complete PyWry app from a description without manual step-by-step tool calls
  • Deliver a full Python project (main.py, requirements.txt, README.md, widgets/)
  • Interactively gather requirements from the user before generating code
  • Show real-time progress to the user during long build operations

Available Agentic Tools

plan_widget — AI-Planned Widget Spec

Sends the description to the LLM via sampling and returns a validated WidgetPlan JSON object. Use this to inspect the plan before committing to building.

# Returns a WidgetPlan JSON (no widget is created yet)
result = await client.call_tool("plan_widget", {
    "description": "A crypto price dashboard with symbol selector and refresh button"
})
plan = json.loads(result[0].text)
# plan contains: title, html_content, toolbars, callbacks, width, height, ...

build_app — End-to-End Autonomous Builder

The primary tool for autonomous app building. One call:

  1. Samples a WidgetPlan from the description
  2. Registers the widget in the session
  3. Returns widget_id and complete runnable Python code
result = await client.call_tool("build_app", {
    "description": "Task tracker with add/remove buttons and completion percentage",
    "open_window": False  # set True to open a native window immediately
})
data = json.loads(result[0].text)
widget_id  = data["widget_id"]
python_code = data["python_code"]  # paste into a .py and run directly

The returned python_code is a fully self-contained Python script requiring only pywry.

export_project — Complete Python Project Package

Takes one or more widget_ids and generates a full project tree:

my_app/
    main.py            ← entry-point
    requirements.txt   ← dependencies
    README.md          ← quickstart docs
    widgets/
        <widget_id>.py ← one file per widget

Read the full file on GitHub · 184 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. 4d ago First seen · 184 lines · 19 tokens per session scan A dd50c1e3a2b2

Subscribe to this mod's changes

autonomous_building is a skill published in the GitHub repository deeleeramone/PyWry (93 stars, last pushed 10d ago), licensed Apache-2.0. It adds 19 tokens to every session and 1,278 once invoked, about $0.0001 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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