pdf-explore

pdf-explore is a Summarisation & information digests skill for AI agents, published by PKU-YuanGroup in the OpenAI4S repository on GitHub. Skillspace rates pdf-explore B (86/100) and it passed the safety scan; the rating is based on static analysis only.

Use this skill when the user has attached a PDF, paper, report, or other document and the answer needs content from more than one place in it: summarize the methods or any other section, compare sections, find where a topic is discussed, read a value or label off a figure or chart, or find/list/extract every instance of something across the whole document (datasets, benchmarks, citations, figures, table rows, accession numbers — including appendices). Skip it only for a single lookup of 1–4 pages quoted in your very next response — `read_file(pages=[...])` attaches pages as images that are dropped from context after one turn, so multi-section answers end up re-reading the same ranges repeatedly. Parses the PDF once in the Python kernel: `pdf_pages` (pages as persistent text), `pdf_outline` (TOC), `pdf_scan` (rank pages by relevance), `pdf_map`/`pdf_extract` (per-page summary / structured fields via parallel low-cost calls). For PDF creation/manipulation, use reportlab/pypdf directly.

Grade

B

Quality

86 / 100

Safety

Passed

GitHub stars

111

Unproven: rated by static analysis only, not yet compared head-to-head.

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