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 skills add tuliosousapro/SaaS-blueprint --skill market-researchgit clone --depth 1 https://github.com/tuliosousapro/SaaS-blueprintWrote 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/tuliosousapro/saas-blueprint/market-research)<a href="https://agentmods.dev/skills/tuliosousapro/saas-blueprint/market-research"><img src="https://agentmods.dev/badge/skills/tuliosousapro/saas-blueprint/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/skills/tuliosousapro/saas-blueprint/market-research"><img src="https://agentmods.dev/badge/skills/tuliosousapro/saas-blueprint/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 | $0.00043 | $0.00779 |
| Opus 5 | $0.00022 | $0.00390 |
| Sonnet 5 | $0.00009 | $0.00156 |
| Haiku 4.5 | $0.00004 | $0.00078 |
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 11d 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 — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Market Research Skill
When to Use
- During Phase 0 (Idea) → Market Research, Competitor Analysis, Opportunity Mapping
- During Phase 1 (Validation) → Demand Testing
- Any time you need structured intelligence about a market, niche, or competitor
Tools Required
| Tool | Purpose |
|---|---|
firecrawl_search |
Web search for market data, trends, competitors |
firecrawl_scrape |
Extract structured data from specific pages |
firecrawl_extract |
Pull pricing, features, positioning from competitor sites |
firecrawl_map |
Discover all pages on a competitor's site |
Instructions
1. Define Research Scope
Before starting any research, clarify with the user:
- Market/Industry: What space are we researching?
- Geography: Global, US, EU, LATAM, specific country?
- Depth: Quick scan (30 min) or deep dive (2+ hours)?
- Focus: TAM estimation, competitor landscape, trend signals, or all three?
2. TAM/SAM/SOM Estimation
Execute these searches in parallel:
firecrawl_search: "{industry} market size 2024 2025 report"
firecrawl_search: "{industry} SaaS revenue growth forecast"
firecrawl_search: "{niche} total addressable market"
Structure the output as:
| Metric | Value | Source | Confidence |
|---|---|---|---|
| TAM | $X B | {source} | High/Med/Low |
| SAM | $X M | {source} | High/Med/Low |
| SOM | $X M | {source} | High/Med/Low |
3. Competitor Landscape
For each competitor identified:
firecrawl_extract:
urls: ["{competitor_url}"]
prompt: "Extract: company name, tagline, pricing tiers, key features, target audience, tech stack indicators"
schema: {
name: string,
tagline: string,
pricing: [{ tier: string, price: string, features: [string] }],
target_audience: string,
key_features: [string]
}
Compile into a comparison matrix:
| Feature | Competitor A | Competitor B | Competitor C | Our Opportunity |
|---|
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.
- 11d ago First seen · 96 lines · 43 tokens per session scan A 8297156723e4
market-research is a skill published in the GitHub repository tuliosousapro/SaaS-blueprint (4 stars, last pushed 11d ago), licensed MIT. It adds 43 tokens to every session and 779 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 2026-08-31.
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