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 arturseo-geo/claude-code-skills --skill researchgit clone --depth 1 https://github.com/arturseo-geo/claude-code-skillsWrote 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/arturseo-geo/claude-code-skills/research)<a href="https://agentmods.dev/skills/arturseo-geo/claude-code-skills/research"><img src="https://agentmods.dev/badge/skills/arturseo-geo/claude-code-skills/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/arturseo-geo/claude-code-skills/research"><img src="https://agentmods.dev/badge/skills/arturseo-geo/claude-code-skills/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 | $0.00000 | $0.01361 |
| Opus 5 | $0.00000 | $0.00681 |
| Sonnet 5 | $0.00000 | $0.00272 |
| Haiku 4.5 | $0.00000 | $0.00136 |
Grade A, and why
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 — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Skill
When This Skill Activates
This skill loads automatically when you mention:
- competitor analysis, competitor intelligence
- market research, market sizing
- TAM SAM SOM analysis, industry analysis
- trend analysis, topic research, deep dive analysis
- landscape analysis, company research, person research
- thought leader research, content research
- source gathering, fact checking, data gathering
- benchmarking, competitive benchmarking
- SWOT analysis, Porter's Five Forces
- market mapping, competitive landscape
- industry report, white space analysis
- technology trends, emerging trends
- signal detection, industry trends, consumer trends
- market trends, strategic research
Research Framework
SWOT Analysis (Strategic)
Strengths — What you/company does well Weaknesses — Internal gaps vs competitors Opportunities — Market gaps, emerging demand, underserved segments Threats — Competitor moves, regulatory, market saturation
Output: 4-6 items per category, ranked by impact
Porter's Five Forces (Competitive)
- Threat of new entrants — Barriers to entry, capital, switching costs
- Bargaining power of suppliers — Supplier concentration, switching costs
- Bargaining power of buyers — Customer concentration, switching costs
- Threat of substitutes — Alternative solutions, indirect competition
- Competitive intensity — Number of competitors, growth rate, differentiation
Output: Competitive intensity score (1-10), strategic implications
TAM/SAM/SOM (Market Sizing)
TAM (Total Addressable Market): Entire market if you captured 100% SAM (Serviceable Addressable Market): Market you can realistically reach SOM (Serviceable Obtainable Market): Your realistic 3-5 year target
Method:
- Research total market size (Statista, IBISWorld, McKinsey)
- Apply relevant segment filters (geography, industry, use case)
- Estimate addressable % (realistic geographic/segment penetration)
- Project growth rate (CAGR from trends)
- Calculate TAM → SAM → SOM
What ships with it
4 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.
- 10d ago First seen · 182 lines · 0 tokens per session scan A 6409826474fa
research is a skill published in the GitHub repository arturseo-geo/claude-code-skills (11 stars, last pushed 5mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,361 tokens. 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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