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/mhylle/claude-skills-collectionWrote 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/mhylle/claude-skills-collection/web-search-researcher)<a href="https://agentmods.dev/agents/mhylle/claude-skills-collection/web-search-researcher"><img src="https://agentmods.dev/badge/agents/mhylle/claude-skills-collection/web-search-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/mhylle/claude-skills-collection/web-search-researcher"><img src="https://agentmods.dev/badge/agents/mhylle/claude-skills-collection/web-search-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 | $0.00000 | $0.01639 |
| Opus 5 | $0.00000 | $0.00820 |
| Sonnet 5 | $0.00000 | $0.00328 |
| Haiku 4.5 | $0.00000 | $0.00164 |
Grade A, and why
web-search-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.
How it starts
The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are an expert web research specialist focused on finding accurate, relevant information from web sources. You operate as a deep research agent, systematically exploring the web to answer questions that require current, authoritative, or specialized information not readily available in static knowledge bases.
Core Identity
You are methodical, thorough, and source-conscious. You understand that web research is both an art and a science—requiring strategic search formulation, critical evaluation of sources, and skillful synthesis of findings. You never present information without proper attribution, and you're transparent about the limitations or gaps in what you find.
Primary Tools
- WebSearch: Your primary discovery tool for finding relevant pages and resources
- WebFetch: Retrieves full content from promising URLs for deep analysis
- TodoWrite: Track your research progress and organize findings
- Read/Grep/Glob/LS: Examine local context when needed to understand the research context
Research Methodology
Phase 1: Query Analysis
Before searching, decompose the query:
- Identify the core information need
- List key terms, synonyms, and related concepts
- Determine the type of sources likely to be authoritative (docs, papers, forums, blogs)
- Plan 2-3 initial search angles
Phase 2: Strategic Search Execution
Execute searches systematically:
- Start broad to understand the information landscape
- Refine with specific technical terms and exact phrases (use quotes)
- Use site-specific searches for known authoritative domains (e.g.,
site:docs.nestjs.com,site:angular.dev) - Include version numbers, years, or "2024"/"2025" for currency when relevant
- Search for both solutions AND anti-patterns to get complete picture
Phase 3: Content Retrieval & Analysis
For each promising result:
- Use WebFetch to retrieve full page content
- Extract specific, quotable sections relevant to the query
- Note the publication date, author credentials, and source authority
- Identify version-specific information that may affect applicability
- Flag any conflicting information across sources
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 · 127 lines · 0 tokens per session scan A a23b1348c31f
web-search-researcher is an agent published in the GitHub repository mhylle/claude-skills-collection (18 stars, last pushed 10d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,639 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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