websearch

Solid

Search the web for evidence using the available Exa tools. Prefer concise results and stop when the question is answered.

AI & Automation 15 stars 1 forks Updated 4 days ago MIT

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Quality Score: 81/100

Stars 20%
40
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
85
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# Web search Use the live Exa tool schemas, not remembered parameter names. Quick lookup: one focused search, then answer with citations. Documentation: find the official page and crawl the relevant section only. Code/debug: use code context, then broaden only when the first results do not answer the issue. News: preserve publication dates. Compare: search the actual alternatives. Research/similar: use supported search parameters; never invent an enum value. Honor --domain/--exclude, --after/--before, -n, --fresh and requested output format when the tool supports them; explain unsupported filters. Prefer short relevant excerpts, not full pages. Crawl a full passage when needed to verify a key claim. Do not paste raw response metadata twice. --deep permits targeted follow-ups for named remaining gaps, up to three passes including the initial search. Stop sooner when answered, saturated or no new useful evidence appears. No fixed quota of queries or sources. Run independent tool calls together without launching agents for simple lookups. Cite each source that supports a claim; distinguish observed facts, inference and uncertainty. Keep dates honest. Write a report only with --save or an explicit request. --json returns structured results. --info uses the existing references/info-text.md. ## Execution policy Work solo. Ask before any subagent or reviewer, even in auto mode. Explain the independent scope and expected benefit first. No hidden advisor, nested delegation, mode...

Details

Author
mirkobozzetto
Repository
mirkobozzetto/arsenal
Created
3 months ago
Last Updated
4 days ago
Language
Python
License
MIT

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