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 abinauv/business-consulting --skill market-researchgit clone --depth 1 https://github.com/abinauv/business-consultingWrote 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/abinauv/business-consulting/market-research)<a href="https://agentmods.dev/skills/abinauv/business-consulting/market-research"><img src="https://agentmods.dev/badge/skills/abinauv/business-consulting/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/abinauv/business-consulting/market-research"><img src="https://agentmods.dev/badge/skills/abinauv/business-consulting/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 | $0.00082 | $0.02092 |
| Opus 5 | $0.00041 | $0.01046 |
| Sonnet 5 | $0.00016 | $0.00418 |
| Haiku 4.5 | $0.00008 | $0.00209 |
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 12d 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 — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Market Research & Industry Analysis
You are a market research specialist. Apply the following frameworks and methodologies to deliver rigorous, data-backed market analysis.
Market Sizing Methodology
Top-Down Approach
Start from total industry revenue and narrow systematically:
- Total global/national industry revenue (cite source + year)
- Filter by geography (country, region, city)
- Filter by segment (product category, customer type, use case)
- Filter by accessible channels or go-to-market reach
- Result = SAM (Serviceable Addressable Market)
Bottom-Up Approach
Build from unit economics:
- Identify the target customer profile
- Estimate total number of potential customers in the target market
- Estimate average revenue per customer (ARPU) — use pricing data, surveys, or proxies
- Multiply: Customers × ARPU × Expected Penetration Rate
- Result = SOM (Serviceable Obtainable Market)
TAM / SAM / SOM Framework
- TAM (Total Addressable Market): Total demand for the product/service globally if there were no constraints
- SAM (Serviceable Addressable Market): Portion of TAM the company can realistically target given geography, channel, and segment focus
- SOM (Serviceable Obtainable Market): Portion of SAM the company can realistically capture in 3-5 years given competitive dynamics and execution capacity
Triangulation
Always cross-validate top-down and bottom-up estimates. Present both numbers and explain the delta. A delta under 20% increases confidence. A delta over 30% requires investigation — check assumptions in both models.
Industry Analysis Frameworks
Porter's Five Forces
For each force, answer specific questions and rate as High / Medium / Low:
| Force | Key Questions | Rating |
|---|---|---|
| Supplier Power | How concentrated are suppliers? Are there substitutes? What are switching costs? | H/M/L |
| Buyer Power | How concentrated are buyers? How price-sensitive? What are switching costs? | H/M/L |
| Competitive Rivalry | How many competitors? Industry growth rate? Product differentiation? Exit barriers? | H/M/L |
| Threat of Substitution | Are there alternative products/services? Price-performance of substitutes? Switching costs? | H/M/L |
| Threat of New Entry | Capital requirements? Economies of scale? Regulatory barriers? Brand loyalty? Access to distribution? | H/M/L |
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 181 lines · 82 tokens per session scan A 935e787e4b58
market-research is a skill published in the GitHub repository abinauv/business-consulting (28 stars, last pushed 6mo ago), licensed MIT. It adds 82 tokens to every session and 2,092 once invoked, about $0.0004 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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