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 agentmods add skills/ironyjk/strategy-frameworks/stpnpx skills add ironyjk/strategy-frameworks --skill stpgit clone --depth 1 https://github.com/ironyjk/strategy-frameworksWrote 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/ironyjk/strategy-frameworks/stp)<a href="https://agentmods.dev/skills/ironyjk/strategy-frameworks/stp"><img src="https://agentmods.dev/badge/skills/ironyjk/strategy-frameworks/stp.svg" alt="Measured on agentmods" 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 | $0.00046 | $0.04249 |
| Opus 5 | $0.00023 | $0.02124 |
| Sonnet 5 | $0.00009 | $0.00850 |
| Haiku 4.5 | $0.00005 | $0.00425 |
Grade A, and why
stp 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.
How it starts
The opening of the file, as written. The whole thing — 364 lines — stays where its author put it; the contents beside it link to each section on GitHub.
STP Marketing Framework
Process Flow
┌─────────────────────────────────────────────────────────────────────┐
│ STP Marketing Framework │
│ │
│ ┌──────────────┐ ┌──────────────┐ ┌──────────────────┐ │
│ │ Segmentation │───>│ Targeting │───>│ Positioning │ │
│ │ 시장세분화 │ │ 목표시장선정 │ │ 포지셔닝 │ │
│ └──────┬───────┘ └──────┬───────┘ └────────┬─────────┘ │
│ │ │ │ │
│ WHO is out there? WHO do we serve? HOW do they see us? │
│ │
│ ┌──────┴───────┐ ┌──────┴───────┐ ┌────────┴─────────┐ │
│ │ • Geographic │ │ • Mass │ │ • Perceptual Map │ │
│ │ • Demographic │ │ • Differenti │ │ • POP vs POD │ │
│ │ • Psychograph │ │ • Niche │ │ • Positioning │ │
│ │ • Behavioral │ │ • Micro │ │ Statement │ │
│ │ • Firmographic│ │ • One-to-One │ │ • Repositioning │ │
│ └──────────────┘ └──────────────┘ └──────────────────┘ │
│ │
│ ──────────> feeds into ──────────> │
│ Marketing Mix (4P) │
│ Product · Price · Place · Promotion │
└─────────────────────────────────────────────────────────────────────┘
1. Segmentation (시장세분화)
Divide the total market into distinct subgroups that share similar needs, characteristics, or behaviors.
1.1 Segmentation Bases
Geographic (지리적 세분화)
| Variable | Examples |
|---|---|
| Region (지역) | 수도권, 영남권, 호남권, 충청권 |
| City size (도시규모) | 대도시, 중소도시, 농어촌 |
| Climate (기후) | 온대, 아열대, 산간 |
| Density (인구밀도) | 도심, 교외, 산업단지 |
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.
- 5d ago First seen · 364 lines · 46 tokens per session scan A a227d2a7d1ee
stp is a skill published in the GitHub repository ironyjk/strategy-frameworks (11 stars, last pushed 4mo ago), licensed MIT. It adds 46 tokens to every session and 4,249 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.
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