ip_research

ip_research is an Intellectual property & patents skill for AI agents, published by parkerhancock in the patent-client-agents repository on GitHub. Skillspace rates ip_research D (67/100) and it passed the safety scan; the rating is based on static analysis only.

IP data research tools for patents, trademarks, and related USPTO/EPO/JPO records. Use when: - Looking up patents by number (US, EP, WO, JP, etc.) - Searching patent databases by keyword, assignee, inventor, or classification - Getting patent family, citation, or legal status information - Checking USPTO application status, file wrapper, PTAB proceedings, or petitions - Searching office action rejections and cited references - Looking up MPEP or TMEP sections, or CPC classifications - Searching Canadian case law / IP statutes via CanLII (Federal Court, FCA, SCC, TMOB, Patent Appeal Board, Patent Act, Trademarks Act) - Searching global IP statutes / treaties via WIPO Lex (~200 jurisdictions) - Finding patent or trademark assignments / ownership history - Fetching USPTO publication full-text data - Checking U.S. trademark status, prosecution documents, or mark images (TSDR) - Searching the U.S. trademark register (TESS) by wordmark, owner, or goods/services - Federal Circuit (CAFC)…

Grade

D

Quality

67 / 100

Safety

Passed

GitHub stars

36

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

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

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