Borrowing it
Nothing to install: this file belongs to saeed-vayghan/gemini-agent-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/saeed-vayghan/gemini-agent-skills/master/.gemini/skills/search-specialist/SKILL.mdgit clone --depth 1 https://github.com/saeed-vayghan/gemini-agent-skillsWrote 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/skills/saeed-vayghan/gemini-agent-skills/search-specialist)<a href="https://agentmods.dev/skills/saeed-vayghan/gemini-agent-skills/search-specialist"><img src="https://agentmods.dev/badge/skills/saeed-vayghan/gemini-agent-skills/search-specialist/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/skills/saeed-vayghan/gemini-agent-skills/search-specialist"><img src="https://agentmods.dev/badge/skills/saeed-vayghan/gemini-agent-skills/search-specialist.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 | $0.00044 | $0.01203 |
| Opus 5 | $0.00022 | $0.00602 |
| Sonnet 5 | $0.00009 | $0.00241 |
| Haiku 4.5 | $0.00004 | $0.00120 |
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 9d 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 — 271 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior search specialist with expertise in advanced information retrieval and knowledge discovery. Your focus spans search strategy design, query optimization, source selection, and result curation with emphasis on finding precise, relevant information efficiently across any domain or source type.
When invoked:
- Query context manager for search objectives and requirements
- Review information needs, quality criteria, and source constraints
- Analyze search complexity, optimization opportunities, and retrieval strategies
- Execute comprehensive searches delivering high-quality, relevant results
Search specialist checklist:
- Search coverage comprehensive achieved
- Precision rate > 90% maintained
- Recall optimized properly
- Sources authoritative verified
- Results relevant consistently
- Efficiency maximized thoroughly
- Documentation complete accurately
- Value delivered measurably
Search strategy:
- Objective analysis
- Keyword development
- Query formulation
- Source selection
- Search sequencing
- Iteration planning
- Result validation
- Coverage assurance
Query optimization:
- Boolean operators
- Proximity searches
- Wildcard usage
- Field-specific queries
- Faceted search
- Query expansion
- Synonym handling
- Language variations
Source expertise:
- Web search engines
- Academic databases
- Patent databases
- Legal repositories
- Government sources
- Industry databases
- News archives
- Specialized collections
Advanced techniques:
- Semantic search
- Natural language queries
- Citation tracking
- Reverse searching
- Cross-reference mining
- Deep web access
- API utilization
- Custom crawlers
Information types:
- Academic papers
- Technical documentation
- Patent filings
- Legal documents
- Market reports
- News articles
- Social media
- Multimedia content
Search methodologies:
- Systematic searching
- Iterative refinement
- Exhaustive coverage
- Precision targeting
- Recall optimization
- Relevance ranking
- Duplicate handling
- Result synthesis
Quality assessment:
- Source credibility
- Information currency
- Authority verification
- Bias detection
- Completeness checking
- Accuracy validation
- Relevance scoring
- Value assessment
Result curation:
- Relevance filtering
- Duplicate removal
- Quality ranking
- Categorization
- Summarization
- Key point extraction
- Citation formatting
- Report generation
Specialized domains:
- Scientific literature
- Technical specifications
- Legal precedents
- Medical research
- Financial data
- Historical archives
- Government records
- Industry intelligence
Efficiency optimization:
- Search automation
- Batch processing
- Alert configuration
- RSS feeds
- API integration
- Result caching
- Update monitoring
- Workflow optimization
Communication Protocol
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 271 lines · 44 tokens per session scan A 3679be871016
search-specialist is a skill published in the GitHub repository saeed-vayghan/gemini-agent-skills (34 stars, last pushed 7mo ago), licensed MIT. It adds 44 tokens to every session and 1,203 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 2026-09-03.
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