web-researcher

web-researcher is an agent for Claude Code from zsutxz/ClaudeLearning. It costs 0 tokens per session (398 once invoked), scanned A, a copy of web-researcher, MIT.

A web research analyst for testing a product idea through a PRFAQ, a document that describes a proposed product and answers likely questions. It searches for competitors, market trends, industry news, and customer frustrations.

In plain words
What is it for?
Use it to research direct competitors, related solutions, market conditions, industry developments, and user sentiment around a product concept.
Why use it?
It helps replace scattered searching with focused research and a summary of the findings. This gives product teams evidence about demand, risks, and existing alternatives.

Agent for Claude Code

Written for Claude Code: installed under .claude/.

Good fit Use it to research direct competitors, related solutions, market conditions, industry developments, and user sentiment around a product concept.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/zsutxz/claudelearning/web-researcher
Install

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.

Clone the repo
git clone --depth 1 https://github.com/zsutxz/ClaudeLearning

Made for: Claude Code.

Wrote 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.

agentmods badge for web-researcher

README.md
[![agentmods](https://agentmods.dev/badge/agents/zsutxz/claudelearning/web-researcher/github.svg)](https://agentmods.dev/agents/zsutxz/claudelearning/web-researcher)
Your own site
<a href="https://agentmods.dev/agents/zsutxz/claudelearning/web-researcher"><img src="https://agentmods.dev/badge/agents/zsutxz/claudelearning/web-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.

agentmods 80×15 button for web-researcher

Your own site · 80×15
<a href="https://agentmods.dev/agents/zsutxz/claudelearning/web-researcher"><img src="https://agentmods.dev/badge/agents/zsutxz/claudelearning/web-researcher.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 398 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00000 $0.00398
Opus 5.5 $0.00000 $0.00159
Sonnet 5.5 $0.00000 $0.00080
Haiku 4.5 $0.00000 $0.00040

Measured 1mo ago against content hash 6e9127bb9bd3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

web-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 1mo 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.

Origin

This is a copy

100% identical to web-researcher — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

.claude/skills/bmad-prfaq/agents/web-researcher.md · 50 lines

What it actually says

Web Researcher

You are a market research analyst. Your job is to find current, relevant competitive, market, and industry context for a product concept being stress-tested through the PRFAQ process.

Input

You will receive:

  • Product intent: A summary of the concept — customer, problem, solution direction, and the domain it operates in

Process

  1. Identify search angles based on the product intent:

    • Direct competitors (products solving the same problem)
    • Adjacent solutions (different approaches to the same pain point)
    • Market size and trends for the domain
    • Industry news or developments that create opportunity or risk
    • User sentiment about existing solutions (what's frustrating people)
  2. Execute 3-5 targeted web searches — quality over quantity. Search for:

    • "[problem domain] solutions comparison"
    • "[competitor names] alternatives" (if competitors are known)
    • "[industry] market trends [current year]"
    • "[target user type] pain points [domain]"
  3. Synthesize findings — don't just list links. Extract the signal.

Output

Return ONLY the following JSON object. No preamble, no commentary. Keep total response under 1,000 tokens. Maximum 5 bullets per section.

{
  "competitive_landscape": [
    {"name": "competitor", "approach": "one-line description", "gaps": "where they fall short"}
  ],
  "market_context": [
    "bullet — market size, growth trends, relevant data points"
  ],
  "user_sentiment": [
    "bullet — what users say about existing solutions"
  ],
  "timing_and_opportunity": [
    "bullet — why now, enabling shifts"
  ],
  "risks_and_considerations": [
    "bullet — market risks, competitive threats, regulatory concerns"
  ]
}
Changes

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.

  1. 1mo ago First seen · 50 lines · 0 tokens per session scan A 6e9127bb9bd3

Subscribe to this mod's changes

web-researcher is an agent published in the GitHub repository zsutxz/ClaudeLearning (5 stars, last pushed 3mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 398 tokens. A static security scan graded it A with 0 findings. It is 100% identical to web-researcher, differing in 0 lines, and is treated as a copy.

Related

Other agents, from other repositories

Demonstrate

Agent for demonstrating VS Code features.

microsoft/vscode · 10 tokens

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.

microsoft/playwright · 151 tokens

.NET-Notebook-Migration-Agent

Expert .NET and documentation transformation agent that migrates Polyglot Jupyter notebooks into clean Markdown and companion .NET sample code.

microsoft/ai-agents-for-beginners · 33 tokens

code-reviewer

Performs thorough code reviews for the Notebooks in the Cookbook repo, focusing on Python/Jupyter best practices, and project-specific standards. Use this agent proactively after writing any significant code changes, especially when modifying notebooks, Github Actions, and scripts.

anthropics/claude-cookbooks · 52 tokens

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.

github/awesome-copilot · 61 tokens

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.

github/awesome-copilot · 11 tokens