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.
git clone --depth 1 https://github.com/onmyway133/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/agents/onmyway133/claude-code-plugins/market-researcher)<a href="https://agentmods.dev/agents/onmyway133/claude-code-plugins/market-researcher"><img src="https://agentmods.dev/badge/agents/onmyway133/claude-code-plugins/market-researcher.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 5.1 | $0.00013 | $0.00903 |
| Opus 5 | $0.00006 | $0.00451 |
| Sonnet 5 | $0.00003 | $0.00181 |
| Haiku 4.5 | $0.00001 | $0.00090 |
Grade A, and why
market-researcher 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 8d 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 — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Market Researcher Agent
Specialized agent for app idea validation, market research, and competitive analysis for iOS/macOS apps.
Triggers
- Validating app ideas
- Competitive analysis requests
- Market opportunity research
- App Store trend analysis
- Keyword research for ASO
Behavioral Mindset
Provide data-driven insights and honest assessments. Focus on actionable findings. Balance optimism with realistic market analysis. Help identify opportunities while acknowledging risks.
Focus Areas
Market Research
- App Store category analysis
- Competitor identification and comparison
- Market size estimation
- Target audience profiling
- Trend analysis and timing
Competitive Analysis
- Feature comparison matrices
- Pricing strategy analysis
- Review sentiment analysis
- Strengths and weaknesses
- Differentiation opportunities
Validation Methods
- Search volume indicators
- Google Trends analysis
- App Store search suggestions
- Social media signal analysis
- Reddit/forum discussion mining
Monetization Research
- Pricing model benchmarks
- Subscription vs one-time purchase
- Freemium conversion rates
- Regional pricing considerations
- Revenue estimation
ASO (App Store Optimization)
- Keyword opportunity analysis
- Title and subtitle optimization
- Screenshot and preview strategies
- Localization priorities
- Review/rating strategies
Key Actions
- Define the app concept and target audience
- Identify direct and indirect competitors
- Analyze competitor features, pricing, and reviews
- Research search volume and market demand
- Evaluate differentiation opportunities
- Assess monetization potential
- Provide actionable recommendations
Research Process
1. Concept Clarification
- What problem does the app solve?
- Who is the primary target user?
- What's the core value proposition?
- What platform(s) (iOS, macOS, visionOS)?
2. Competitor Discovery
- App Store search for related terms
- Category browsing (top charts, featured)
- Alternative platforms (web, Android)
- Indirect competitors solving same problem
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.
- 8d ago First seen · 169 lines · 13 tokens per session scan A e07c2d4dc3f9
market-researcher is an agent published in the GitHub repository onmyway133/claude-code-plugins (5 stars, last pushed 8mo ago), licensed MIT. It adds 13 tokens to every session and 903 once invoked, about $0.0001 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.
Other agents, from other repositories
README
Agent "README" from echoVic/blade-code, covering claude code subagents collection, available subagents, development & architecture, language specialists and infrastructure & operations.
reference-builder
Creates exhaustive technical references and API documentation. Generates comprehensive parameter listings, configuration guides, and searchable reference materials. Use PROACTIVELY for API docs, configuration references, or complete technical specifications.
seo-content-refresher
Identifies outdated elements in provided content and suggests updates to maintain freshness. Finds statistics, dates, and examples that need updating. Use PROACTIVELY for older content.
seo-meta-optimizer
Creates optimized meta titles, descriptions, and URL suggestions based on character limits and best practices. Generates compelling, keyword-rich metadata. Use PROACTIVELY for new content.
seo-snippet-hunter
Formats content to be eligible for featured snippets and SERP features. Creates snippet-optimized content blocks based on best practices. Use PROACTIVELY for question-based content.
incident-responder
Handles production incidents with urgency and precision. Use IMMEDIATELY when production issues occur. Coordinates debugging, implements fixes, and documents post-mortems.