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Answer from the user's own indexed documents with Guaardvark's local RAG, browse and read indexed files section by section, remember facts across sessions, and process or fetch new material.
Passed 4 of 14 test cases with the skill, and 3 of 14 without it.
and 7 more in the full report
7 fixed0 passed either way11 still failing5 broke
Tokens, turns and time describe resource use, not a dollar price.
This benchmark measured an earlier version of the skill.
One of 7 test cases the skill fixed. Same model, same prompt, with and without the skill.
I want to see section titles and page ordering for 'onboarding.pdf' without reading full paragraph content. Which tool returns the structural outline?
| Checked | Without skill | With skill |
|---|---|---|
| Uses get_document_outline to retrieve document section hierarchy. | Missed | Passed |
The instructions your model reads when the skill loads.
Everything here is the guaardvark MCP server. All retrieval is local (Ollama embeddings,
hybrid search, cross-encoder reranking on the user's GPU).
| tool | use |
|---|---|
search_knowledge_base | the question in plain words; returns passages with sources. Cite them. |
summarize_corpus | what the whole knowledge base covers, before searching blind |
list_documents | which documents are indexed and how many passages each has |
get_document_outline | sections or pages of one document, in order |
read_document_section | the actual text of one section or page, no search |
process_file | extract content from a PDF, DOCX, CSV, Excel, image or other file the user names |
index_document | add a file in Guaardvark's uploads, outputs or install folder to the knowledge base, so the tools above find it |
fetch_url | title, description and main text of one web page; pass query (the user's question) to get the passage about it instead of the top of the page |
web_search | web results (titles, snippets, URLs) when the answer is not local; source names the search engine that answered, and no_results says when it found nothing |
Pattern: summarize_corpus or list_documents → search_knowledge_base → read the exact
section with get_document_outline + read_document_section before quoting.
save_memory: a fact, preference or instruction to keep across sessions. Use when the user says
"remember", or states a durable preference. One fact per call.search_memory: check before assuming; recalled memories are what was true when saved.update_memory: correct a saved fact, preference or note in place, by the ID search_memory
prints, instead of saving a second version next to it.delete_memory: forget one entry by its ID when the user asks. It cannot be undone.index_document adds one file at a time and waits up to wait_seconds (default 45) for the
indexer; a long PDF may still be indexing when it answers, and list_documents shows it oncetest cases passed, vs 3 / 14 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.