search-specialist

search-specialist is an agent for coding agents from NickCrew/Claude-Cortex. It costs 39 tokens per session (742 once invoked), scanned A, a copy of search-specialist, MIT.

A web research guide that plans searches, checks source quality, and combines information from multiple sources. It can also investigate historical events and trends.

In plain words
What is it for?
Use it for competitive analysis, market research, historical investigations, trend research, and other questions that require evidence from the web.
Why use it?
It reduces the chance of relying on incomplete, outdated, or unreliable search results. Cross-checking sources helps reveal disagreements and verify important facts.

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/nickcrew/claude-cortex/search-specialist
Clone the repo
git clone --depth 1 https://github.com/NickCrew/Claude-Cortex

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/nickcrew/claude-cortex/search-specialist.svg)](https://agentmods.dev/agents/nickcrew/claude-cortex/search-specialist)
Your own site
<a href="https://agentmods.dev/agents/nickcrew/claude-cortex/search-specialist"><img src="https://agentmods.dev/badge/agents/nickcrew/claude-cortex/search-specialist.svg" alt="Measured on agentmods" height="20"></a>
Per session 39 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 742 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 97% 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 $0.00039 $0.00742
Opus 5 $0.00019 $0.00371
Sonnet 5 $0.00008 $0.00148
Haiku 4.5 $0.00004 $0.00074

Measured yesterday against content hash 005f3c87dd40, 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 yesterday.

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

97% identical to search-specialist — 2 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.

archive/agents/search-specialist.md · 131 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. yesterday First seen · 131 lines · 39 tokens per session scan A 005f3c87dd40

Subscribe to this mod's changes

search-specialist is an agent published in the GitHub repository NickCrew/Claude-Cortex (37 stars, last pushed 2mo ago), licensed MIT. It adds 39 tokens to every session and 742 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 97% identical to search-specialist, differing in 2 lines, and is treated as a copy.