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 brainbytes-dev/everything-claude-marketing --skill market-researchgit clone --depth 1 https://github.com/brainbytes-dev/everything-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/skills/brainbytes-dev/everything-claude-marketing/market-research)<a href="https://agentmods.dev/skills/brainbytes-dev/everything-claude-marketing/market-research"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-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/skills/brainbytes-dev/everything-claude-marketing/market-research"><img src="https://agentmods.dev/badge/skills/brainbytes-dev/everything-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 | $0.00028 | $0.02765 |
| Opus 5.5 | $0.00011 | $0.01106 |
| Sonnet 5.5 | $0.00006 | $0.00553 |
| Haiku 4.5 | $0.00003 | $0.00277 |
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 2mo 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 — 264 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Market Research
When to Activate
Use this skill when entering a new market, launching a new product or feature, validating business assumptions, sizing a market opportunity, analyzing industry trends, preparing investor materials, building a go-to-market strategy, or when someone asks you to "research the market," "size the opportunity," or "analyze the competitive landscape." Also activate when a marketing strategy seems to be based on assumptions rather than evidence.
First Questions
Before starting any research, clarify:
- What decision will this research inform? (go/no-go, positioning, pricing, channel selection, audience targeting)
- What do you already know or believe? (existing assumptions to validate or challenge)
- What is the market or category? (specific industry, geography, segment)
- What is the timeline? (quick directional research vs. comprehensive study)
- What resources are available? (budget for tools/reports, access to customers, internal data)
- Who will consume this research? (executive team, marketing team, investors — affects depth and format)
Core Rules
- Research serves decisions. Every research activity must connect to a specific decision. If you can't name the decision, don't do the research.
- Assumptions are hypotheses, not facts. Document all assumptions and seek data to confirm or deny them.
- Triangulate. Never rely on a single data source. Cross-reference at least 2-3 sources to build confidence.
- Distinguish signal from noise. Large datasets can mislead. Small but targeted qualitative insights often reveal more than broad surveys.
- Recency matters. Market data older than 18-24 months is suspect. Industries shift fast. Always note the date of your sources.
- Actionable over comprehensive. A 5-page brief that drives action beats a 50-page report that sits in a drawer.
Research Types
Primary vs. Secondary Research
| Type | Definition | Examples | Best For |
|---|---|---|---|
| Primary | Data you collect directly | Interviews, surveys, focus groups, observation | Unique insights, customer understanding, validation |
| Secondary | Data others have collected | Industry reports, government data, analyst research, published studies | Market sizing, trend analysis, competitive context |
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.
- 2mo ago First seen · 264 lines · 28 tokens per session scan A 9040e7657ac9
market-research is a skill published in the GitHub repository brainbytes-dev/everything-claude-marketing (10 stars, last pushed 7mo ago), licensed MIT. It adds 28 tokens to every session and 2,765 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-09-03.
market-research compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| market-researchbrainbytes-dev/everything-claude-marketing | Skill | 10 | 7mo ago | MIT | A | 28 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |