Agentic Search

Grok+Tavily/Firecrawl deep research skill with citations and rerankable sessions

Autor: appautomaton · appautomaton/webmaton

Tested · Didn't pass

Agentic Search — Grok+Tavily/Firecrawl deep research skill with citations and rerankable sessions

Co robi ten skill

A 6-script research toolkit (search, fetch, map, extract, rank, get-sources) that wraps xAI Grok web search plus optional Tavily/Firecrawl for source-backed, citable answers and full-fidelity page-to-Markdown capture. Triggers on requests for current, cited web research or when ordinary search feels thin on sources; not meant for one-off facts.

Raport z testu

Real run on a clean box: `python3 scripts/agentic_search.py --query test` failed cleanly with `GROK_API_URL is not set` — the skill needs a paid xAI Grok key (plus optional Tavily/Firecrawl keys) and `uv`/Python 3.13 before it produces a single result, so a plain WebSearch beat it 1-0 on this machine.

Testowano: 2026-07-14 · Claude Code 2.x (agent harness)

Instalacja

git clone https://github.com/appautomaton/webmaton
cd webmaton
mkdir -p ~/.claude/skills
cp -r skills/agentic-search ~/.claude/skills/agentic-search

Komendy i przykładowe prompty

/agentic-searchGrok+Tavily/Firecrawl deep research skill with citations and rerankable sessions

Skille uruchamiają się na zwykłe polecenia — bez komend do zapamiętania. Po instalacji aktywują go prompty takie jak te (po angielsku):

Do a deep research pass on prompt caching with real citations
Research this market question and rerank the sources you found
Run a cited literature sweep on agent memory architectures

Pełny raport →