ai-native-system-building

ai-native-system-building is a skill for Claude Code, Codex from gmaxxxie/ai-native-product-agent-skills. It costs 78 tokens per session (2,765 once invoked), scanned A, original, no licence file.

A method for designing AI-native products during the system-building stage. It turns experiment findings into a plan covering system boundaries, capabilities, governance, and monitoring.

In plain words
What is it for?
Defining system scope, planning capability modules, and adding governance and monitoring to an AI product.
Why use it?
It helps turn scattered experiment results into a defined system plan with operational safeguards.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit Defining system scope, planning capability modules, and adding governance and monitoring to an AI product.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gmaxxxie/ai-native-product-agent-skills/ai-native-system-building
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.

Any agent
npx skills add gmaxxxie/ai-native-product-agent-skills --skill ai-native-system-building
Clone the repo
git clone --depth 1 https://github.com/gmaxxxie/ai-native-product-agent-skills

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 ai-native-system-building

README.md
[![agentmods](https://agentmods.dev/badge/skills/gmaxxxie/ai-native-product-agent-skills/ai-native-system-building/github.svg)](https://agentmods.dev/skills/gmaxxxie/ai-native-product-agent-skills/ai-native-system-building)
Your own site
<a href="https://agentmods.dev/skills/gmaxxxie/ai-native-product-agent-skills/ai-native-system-building"><img src="https://agentmods.dev/badge/skills/gmaxxxie/ai-native-product-agent-skills/ai-native-system-building/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.

agentmods 80×15 button for ai-native-system-building

Your own site · 80×15
<a href="https://agentmods.dev/skills/gmaxxxie/ai-native-product-agent-skills/ai-native-system-building"><img src="https://agentmods.dev/badge/skills/gmaxxxie/ai-native-product-agent-skills/ai-native-system-building.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 78 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,765 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.
Origin unknown 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 $0.00078 $0.02765
Opus 5 $0.00039 $0.01383
Sonnet 5 $0.00016 $0.00553
Haiku 4.5 $0.00008 $0.00277

Measured 5d ago against content hash a1da3ad03820, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

ai-native-system-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 5d 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.

skills/ai-native-system-building/SKILL.md · 320 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 5d ago Changed · -366 lines a1da3ad03820
  2. 13d ago First seen · 686 lines · 78 tokens per session scan A e1332e8c5e72

Subscribe to this mod's changes

ai-native-system-building is a skill published in the GitHub repository gmaxxxie/ai-native-product-agent-skills (46 stars, last pushed 3d ago), with no licence file. It adds 78 tokens to every session and 2,765 once invoked, about $0.0004 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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