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.
npx agentmods add agents/nicepkg/vsync/search-specialistgit clone --depth 1 https://github.com/nicepkg/vsyncWhat 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 | $0.00050 | $0.00310 |
| Opus 5 | $0.00025 | $0.00155 |
| Sonnet 5 | $0.00010 | $0.00062 |
| Haiku 4.5 | $0.00005 | $0.00031 |
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 2d 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.
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
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
- Understand the research objective clearly
- Create 3-5 query variations for coverage
- Search broadly first, then refine
- Verify key facts across multiple sources
- 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.
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.
- 2d ago First seen · 52 lines · 50 tokens per session scan A fae2624c1abe
search-specialist is an agent published in the GitHub repository nicepkg/vsync (57 stars, last pushed 7mo ago), licensed MIT. It adds 50 tokens to every session and 310 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 2026-08-30.
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