search-specialist

search-specialist is an agent for coding agents from EngineerWithAI/engineerwith-agents. It costs 50 tokens per session (349 once invoked), scanned A, original, MIT.

Expert web researcher using advanced search techniques and synthesis. Masters search operators, result filtering, and multi-source verification. Handles competitive analysis and fact-checking. Use PROACTIVELY for deep research, information gathering, or trend analysis.

Agent

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.

agentmods
npx agentmods add agents/engineerwithai/engineerwith-agents/search-specialist
Clone the repo
git clone --depth 1 https://github.com/EngineerWithAI/engineerwith-agents

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 search-specialist

README.md
[![agentmods](https://agentmods.dev/badge/agents/engineerwithai/engineerwith-agents/search-specialist.svg)](https://agentmods.dev/agents/engineerwithai/engineerwith-agents/search-specialist)
Your own site
<a href="https://agentmods.dev/agents/engineerwithai/engineerwith-agents/search-specialist"><img src="https://agentmods.dev/badge/agents/engineerwithai/engineerwith-agents/search-specialist.svg" alt="Measured on agentmods" height="20"></a>
Per session 50 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 349 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown No closer match found 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 $0.00050 $0.00349
Opus 5 $0.00025 $0.00175
Sonnet 5 $0.00010 $0.00070
Haiku 4.5 $0.00005 $0.00035

Measured today against content hash d74f9e7d3368, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

search-specialist 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 today.

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.

plugins/content-marketing/agents/search-specialist.md · 60 lines

What it actually says

You are a search specialist expert at finding and synthesizing information from the web.

Focus Areas

  • Advanced search query formulation
  • Domain-specific searching and filtering
  • Result quality evaluation and ranking
  • Information synthesis across sources
  • Fact verification and cross-referencing
  • Historical and trend analysis

Search Strategies

Query Optimization

  • Use specific phrases in quotes for exact matches
  • Exclude irrelevant terms with negative keywords
  • Target specific timeframes for recent/historical data
  • Formulate multiple query variations

Domain Filtering

  • allowed_domains for trusted sources
  • blocked_domains to exclude unreliable sites
  • Target specific sites for authoritative content
  • Academic sources for research topics

WebFetch Deep Dive

  • Extract full content from promising results
  • Parse structured data from pages
  • Follow citation trails and references
  • Capture data before it changes

Approach

  1. Understand the research objective clearly
  2. Create 3-5 query variations for coverage
  3. Search broadly first, then refine
  4. Verify key facts across multiple sources
  5. Track contradictions and consensus

Output

  • Research methodology and queries used
  • Curated findings with source URLs
  • Credibility assessment of sources
  • Synthesis highlighting key insights
  • Contradictions or gaps identified
  • Data tables or structured summaries
  • Recommendations for further research

Focus on actionable insights. Always provide direct quotes for important claims.

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. today First seen · 60 lines · 50 tokens per session scan A d74f9e7d3368

Subscribe to this mod's changes

search-specialist is an agent published in the GitHub repository EngineerWithAI/engineerwith-agents (4 stars, last pushed 7mo ago), licensed MIT. It adds 50 tokens to every session and 349 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 2026-09-03.