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 agentmods add skills/anilcancakir/claude-code-plugins/researchnpx skills add anilcancakir/claude-code-plugins --skill researchgit clone --depth 1 https://github.com/anilcancakir/claude-code-pluginsWrote 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/anilcancakir/claude-code-plugins/research)<a href="https://agentmods.dev/skills/anilcancakir/claude-code-plugins/research"><img src="https://agentmods.dev/badge/skills/anilcancakir/claude-code-plugins/research.svg" alt="Measured on agentmods" 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 | $0.00065 | $0.00810 |
| Opus 5 | $0.00032 | $0.00405 |
| Sonnet 5 | $0.00013 | $0.00162 |
| Haiku 4.5 | $0.00006 | $0.00081 |
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 3d 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 — 111 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Business Research Skill
Comprehensive research framework for market analysis, competitor intelligence, trend detection, and idea validation.
When to Use
- Market sizing and TAM/SAM/SOM calculation
- Competitor landscape analysis
- Trend identification and timing assessment
- Business idea validation
- SWOT and Porter's Five Forces analysis
- Investment/opportunity evaluation
Research Modes
Quick Research (~15-20 minutes)
High-level overview with key metrics. Use for initial screening.
Standard Research (~30-45 minutes)
Detailed market and competitor analysis. Use for informed decisions.
Deep Research (~60+ minutes)
Comprehensive validation with all frameworks. Use for critical decisions.
Available Agents
Delegate complex analysis to specialized agents:
| Agent | Model | When to Use |
|---|---|---|
market-researcher |
Opus | TAM/SAM/SOM, Porter's Five Forces, industry analysis |
idea-validator |
Opus | Business idea validation, scoring frameworks |
trend-analyzer |
Sonnet | Timing assessment, signal detection, trend mapping |
Research Workflow
1. Scope Definition
Define research boundaries before starting:
- Industry/market segment
- Geographic scope
- Time horizon
- Key questions to answer
2. Data Collection
Gather information from multiple sources:
- Industry reports and statistics
- Competitor websites and materials
- News and press releases
- Social signals and discussions
3. Framework Application
Apply appropriate analysis frameworks. See references/research-frameworks.md for details.
4. Synthesis
Connect findings into actionable insights:
- Key opportunities identified
- Risks and concerns
- Recommendations with rationale
5. Output Generation
Generate structured reports. See references/analysis-templates.md for formats.
Output Location
Reports are saved to: .claude/research/[topic]-[YYYY-MM-DD].md
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.
- 3d ago First seen · 111 lines · 65 tokens per session scan A 6edd8fd0bb70
research is a skill published in the GitHub repository anilcancakir/claude-code-plugins (6 stars, last pushed 7mo ago), licensed MIT. It adds 65 tokens to every session and 810 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 2026-08-31.
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