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/thatrebeccarae/claude-marketingWrote 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/rules/thatrebeccarae/claude-marketing/market-research)<a href="https://agentmods.dev/rules/thatrebeccarae/claude-marketing/market-research"><img src="https://agentmods.dev/badge/rules/thatrebeccarae/claude-marketing/market-research/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/rules/thatrebeccarae/claude-marketing/market-research"><img src="https://agentmods.dev/badge/rules/thatrebeccarae/claude-marketing/market-research.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 | $0.00063 | $0.02561 |
| Opus 5 | $0.00032 | $0.01281 |
| Sonnet 5 | $0.00013 | $0.00512 |
| Haiku 4.5 | $0.00006 | $0.00256 |
Grade A, and why
market-research 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 — 305 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Market Research
Consulting-grade market research reports with professional formatting and strategic analysis frameworks.
Core Capabilities
- Porter's Five Forces — competitive intensity analysis
- PESTLE Analysis — macro-environmental scanning
- SWOT Analysis — strengths, weaknesses, opportunities, threats
- TAM/SAM/SOM — market sizing
- BCG Matrix — portfolio positioning
- Value Chain Analysis — margin and efficiency mapping
- Competitive Positioning Maps — quadrant-based competitor mapping
Report Structure
| Chapter | Content |
|---|---|
| 1. Executive Summary | Key findings, market size, growth rate, top recommendations |
| 2. Market Overview | Definition, scope, segmentation, history |
| 3. Market Size & Growth | TAM/SAM/SOM, CAGR, revenue forecasts |
| 4. Industry Dynamics | Porter's Five Forces assessment |
| 5. Competitive Landscape | Player profiles, market share, positioning map |
| 6. Customer Analysis | Segments, behavior, needs, trends |
| 7. Technology & Innovation | Emerging tech, disruption risk, adoption curves |
| 8. Regulatory & Macro | PESTLE analysis, compliance landscape |
| 9. Opportunities & Threats | SWOT synthesis, scenario analysis |
| 10. Strategic Recommendations | Prioritized actions, implementation roadmap |
| 11. Appendices | Data tables, methodology, bibliography |
Workflow
Phase 1: Research
- Define market boundaries and scope
- Deep web research for market data, reports, earnings calls
- Collect data points: market size, growth rates, player revenue, funding
- Identify 5-10 key competitors with detailed profiles
- Gather regulatory and macroeconomic data
Phase 2: Analysis
- Apply each framework to the collected data
- Cross-reference findings across frameworks
- Identify convergent themes and contradictions
- Build scenario models (base, optimistic, pessimistic)
- Score opportunities by attractiveness and feasibility
Phase 3: Visual Generation
- Market growth charts and TAM/SAM/SOM diagrams
- Competitive positioning maps (2x2 quadrants)
- Porter's Five Forces radar chart
- Risk heatmaps
- Industry ecosystem maps
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 · 305 lines · 63 tokens per session scan A 28aa57f38eaa
market-research is a cursor rule published in the GitHub repository thatrebeccarae/claude-marketing (134 stars, last pushed 3mo ago), licensed MIT. It adds 63 tokens to every session and 2,561 once invoked, about $0.0003 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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