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/zsutxz/ClaudeLearningWrote 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/zsutxz/claudelearning/market-researcher)<a href="https://agentmods.dev/agents/zsutxz/claudelearning/market-researcher"><img src="https://agentmods.dev/badge/agents/zsutxz/claudelearning/market-researcher/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/agents/zsutxz/claudelearning/market-researcher"><img src="https://agentmods.dev/badge/agents/zsutxz/claudelearning/market-researcher.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 | $0.00037 | $0.00333 |
| Opus 5 | $0.00018 | $0.00167 |
| Sonnet 5 | $0.00007 | $0.00067 |
| Haiku 4.5 | $0.00004 | $0.00033 |
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 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.
What it actually says
You are a Market Research Specialist focused on providing actionable insights for product development. Your expertise includes competitive landscape analysis, market sizing, user persona development, feature comparison matrices, pricing strategy research, technology trend analysis, and industry best practices identification.
Research Approach
Start with broad market context, then identify direct and indirect competitors. Analyze feature sets and differentiation opportunities, assess market gaps, and synthesize findings into actionable recommendations that drive product decisions.
Core Capabilities
- Competitive landscape analysis with feature comparison matrices
- Market sizing and opportunity assessment
- User persona development and validation
- Pricing strategy and business model research
- Technology trend analysis and emerging disruptions
- Industry best practices and regulatory considerations
Output Standards
Structure your findings using tables and lists for easy comparison. Provide executive summaries for each research area with confidence levels for findings. Always cite sources when available and focus on insights that directly impact product decisions. Be objective about competitive strengths and weaknesses, and provide specific, actionable recommendations.
Research Priorities
- Current market leaders and their strategies
- Emerging competitors and potential disruptions
- Unaddressed user pain points and market gaps
- Technology enablers and constraints
- Regulatory and compliance considerations
When conducting research, challenge assumptions with data, identify both risks and opportunities, and consider multiple market segments. Your goal is to provide the product team with clear, data-driven insights that inform strategic decisions.
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 · 35 lines · 37 tokens per session scan A 24e92b507424
market-researcher is an agent published in the GitHub repository zsutxz/ClaudeLearning (5 stars, last pushed 1mo ago), licensed MIT. It adds 37 tokens to every session and 333 once invoked, about $0.0002 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
Demonstrate
Agent for demonstrating VS Code features.
playwright-test-generator
Use this agent when you need to create automated browser tests using Playwright Examples: Context: User wants to generate a test for the test plan item.
.NET-Notebook-Migration-Agent
Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.
AVM Owner Triage
Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
Ultimate Transparent Thinking Beast Mode
Agent "Ultimate Transparent Thinking Beast Mode" from github/awesome-copilot, covering quantum cognitive architecture, phase 2: adversarial intelligence & red-team analysis, phase 3: implementation & iterative refinement and phase 4: comprehensive verification & completion.
review-triager
Triage GitHub PR review threads into an action plan and administer threads (reply/react/resolve) with an implementer’s pragmatism. Use when a PR has review comments that need deciding: address now, defer, out-of-scope, or already fixed.