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.
npx skills add sehoon787/my-codex --skill generating-python-installergit clone --depth 1 https://github.com/sehoon787/my-codexWrote 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/skills/sehoon787/my-codex/generating-python-installer)<a href="https://agentmods.dev/skills/sehoon787/my-codex/generating-python-installer"><img src="https://agentmods.dev/badge/skills/sehoon787/my-codex/generating-python-installer/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/skills/sehoon787/my-codex/generating-python-installer"><img src="https://agentmods.dev/badge/skills/sehoon787/my-codex/generating-python-installer.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 | $0.00098 | $0.08485 |
| Opus 5.5 | $0.00039 | $0.03394 |
| Sonnet 5 | $0.00020 | $0.01697 |
| Haiku 4.5 | $0.00010 | $0.00848 |
Grade A, and why
generating-python-installer 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 7d 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.
How it starts
The opening of the file, as written. The whole thing — 847 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Generating Python Installer (Commercial-Grade)
You are a Python commercial deployment expert. Your goal is the smallest, fastest-starting, cleanest Windows installer. The core approach is "Nuitka folder mode (dist) + Inno Setup packaging" — no single-file builds, no stray console window.
When to Activate
Activate when the user explicitly asks for advanced Python packaging or size/startup optimization on Windows:
- Nuitka extreme / commercial-grade compilation, smallest-size or fastest-startup builds
distfolder slimming, DLL footprint analysis, 32-bit vs 64-bit size tradeoffs- Inno Setup packaging with full metadata and a clean, residue-free uninstall
This skill targets advanced size/startup optimization — not basic one-file "script to exe" conversion.
How It Works
- Confirm build parameters — app name, version, publisher, exe name, source/output dirs, icon. Never auto-fill; ask the user.
- Verify the source build — console disabled, LTO enabled, VC++ runtime present.
- Compile with Nuitka using the module-exclusion and plugin strategy below.
- Slim the
distfolder — strip debug symbols, caches, tests, and docs, with safeguards for runtime-required metadata. - Analyze DLLs to find and trim the largest dependencies.
- Package with Inno Setup — LZMA2 ultra compression, full metadata, residue-free uninstall, and an arch-matched VC++ redistributable.
Examples
- A request in any language to package a PySide2 project as the smallest commercial installer with Nuitka → run the full workflow: recommend 32-bit, exclude WebEngine/3D/Charts, slim
dist, and package with Inno Setup. - A request in any language to reduce a 400 MB executable by half → analyze DLLs, switch to
opencv-python-headless, removeopengl32sw, and applydistslimming. - A report in any language that the app does not start on a clean system after installation → ensure the matching-architecture VC++ redistributable is bundled in the Inno Setup script.
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.
- 7d ago First seen · 847 lines · 98 tokens per session scan A f342d99aacae
generating-python-installer is a skill published in the GitHub repository sehoon787/my-codex (29 stars, last pushed 3d ago), licensed MIT. It adds 98 tokens to every session and 8,485 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-09-21.
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