ai-native-direction-framing

ai-native-direction-framing is a skill for Claude Code, Codex from gmaxxxie/ai-native-product-agent-skills. It costs 84 tokens per session (5,024 once invoked), scanned A, original, no licence file.

A workflow for deciding whether an AI product idea is worth pursuing and where it should start.

In plain words
What is it for?
Use it to assess the problem, target scenario, available information, technical possibility, and potential value, then create a direction brief.
Why use it?
It helps distinguish a real problem from a weak idea before spending time building it.

Skill for Claude CodeCodex

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

Good fit Use it to assess the problem, target scenario, available information, technical possibility, and potential value, then create a direction brief.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/gmaxxxie/ai-native-product-agent-skills/ai-native-direction-framing
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-direction-framing
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-direction-framing

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/gmaxxxie/ai-native-product-agent-skills/ai-native-direction-framing"><img src="https://agentmods.dev/badge/skills/gmaxxxie/ai-native-product-agent-skills/ai-native-direction-framing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 84 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,024 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 $0.00084 $0.05024
Opus 5.5 $0.00034 $0.02010
Sonnet 5.5 $0.00017 $0.01005
Haiku 4.5 $0.00008 $0.00502

Measured 2mo ago against content hash cf76d3320573, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ai-native-direction-framing 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 2mo 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-direction-framing/SKILL.md · 515 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. 2mo ago Changed · -3 lines cf76d3320573
  2. 2mo ago First seen · 518 lines · 84 tokens per session scan A 720a26324223

Subscribe to this mod's changes

ai-native-direction-framing is a skill published in the GitHub repository gmaxxxie/ai-native-product-agent-skills (45 stars, last pushed 1mo ago), with no licence file. It adds 84 tokens to every session and 5,024 once invoked, about $0.0003 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 2026-08-30.

Related

ai-native-direction-framing compared with skills from other repositories

ai-native-direction-framing next to 6 skills from other repositories
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