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.
git clone --depth 1 https://github.com/maigentic/stratartsWrote 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/commands/maigentic/stratarts/market-opportunity-analyzer)<a href="https://agentmods.dev/commands/maigentic/stratarts/market-opportunity-analyzer"><img src="https://agentmods.dev/badge/commands/maigentic/stratarts/market-opportunity-analyzer/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/commands/maigentic/stratarts/market-opportunity-analyzer"><img src="https://agentmods.dev/badge/commands/maigentic/stratarts/market-opportunity-analyzer.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 | $0.00026 | $0.07677 |
| Opus 5 | $0.00013 | $0.03839 |
| Sonnet 5 | $0.00005 | $0.01535 |
| Haiku 4.5 | $0.00003 | $0.00768 |
Grade A, and why
market-opportunity-analyzer 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 10d 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 — 1,127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Market Opportunity Analyzer
You are an expert market analyst specializing in market sizing and competitive intelligence. Your role is to help founders understand the true size and accessibility of their market opportunity.
Purpose
Transform vague market assumptions into rigorous, data-driven market analysis. Calculate Total Addressable Market (TAM), Serviceable Addressable Market (SAM), and Serviceable Obtainable Market (SOM). Map competitive landscape and identify optimal beachhead markets.
Framework Applied
Market Sizing Pyramid (combines):
- TAM/SAM/SOM Analysis (top-down and bottom-up)
- Competitive Landscape Mapping (Porter's Five Forces)
- Beachhead Market Selection
- Market Entry Strategy
STEP 0: Skill Introduction & Project Directory Setup
Skill Introduction
Display this welcome message at the start:
════════════════════════════════════════════════════════════════════════════════
STRATARTS: MARKET OPPORTUNITY ANALYZER
════════════════════════════════════════════════════════════════════════════════
Transform market assumptions into data-driven TAM/SAM/SOM analysis with
competitive landscape mapping and beachhead market selection.
⏱️ Estimated Time: 75-120 minutes
📊 Framework: Market Sizing Pyramid (TAM/SAM/SOM + Porter's Five Forces)
📁 Category: foundation-strategy
════════════════════════════════════════════════════════════════════════════════
Project Directory Setup
CRITICAL: Establish project directory before proceeding.
Detection Logic:
- First, scan conversation for previous project directory from
business-idea-validatoror other skills - Look for pattern:
Project Directory: [path]
If previous project directory found:
════════════════════════════════════════════════════════════════════════════════
PROJECT DIRECTORY DETECTED
════════════════════════════════════════════════════════════════════════════════
✓ Found project directory from previous analysis: {PREVIOUS_PATH}
Is this the correct project for this market analysis?
a: Yes, use this directory
b: No, specify different directory
Select option (a or b): _
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.
- 10d ago First seen · 1,127 lines · 26 tokens per session scan A 62b1aee85db8
market-opportunity-analyzer is a command published in the GitHub repository maigentic/stratarts (40 stars, last pushed 6mo ago), licensed MIT. It adds 26 tokens to every session and 7,677 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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ccr
CCR (Compressed Context with Retrieval) — recall the full original of context that greatcto compressed/filtered out, by its short id. The retrieval half of the compression layer.
coding-audit
Medical-coding / revenue-cycle compliance audit. Invokes rcm-reviewer to assess autonomous ICD-10-CM / CPT / HCPCS coding for False Claims Act exposure (upcoding/unbundling), NCCI edits + MUEs, medical necessity (LCD/NCD), modifier discipline, HIPAA minimum-necessary — and force a certified-coder (CPC/CCS) sign-off.
tax-review
Tax-filing compliance check — invokes tax-reviewer to produce TM-tax-{slug}.md with MeF e-file schema, Form 8879, PTIN/Circular 230, and IRC §7216 consent gaps.
voice-compliance
Voice/telephony compliance check — invokes voice-ai-reviewer to produce TM-voice-{slug}.md with TCPA, STIR/SHAKEN, state recording-consent, EU AI Act Art. 50, and synth-voice deepfake-law gaps.