中国专利.skill is a Chinese-language agent skill for finding patentable ideas, writing patent disclosure documents, explaining published patents, tracking examination policies, and helping prepare examination responses. It is for developers and researchers working with Chinese invention, utility-model, and design patents, with workflows that can store related research in Obsidian.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add handsomestWei/patent-disclosure-skill --skill patent-searchgit clone --depth 1 https://github.com/handsomestWei/patent-disclosure-skillWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/handsomestwei/patent-disclosure-skill/patent-search)<a href="https://agentmods.dev/skills/handsomestwei/patent-disclosure-skill/patent-search"><img src="https://agentmods.dev/badge/skills/handsomestwei/patent-disclosure-skill/patent-search/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/handsomestwei/patent-disclosure-skill/patent-search"><img src="https://agentmods.dev/badge/skills/handsomestwei/patent-disclosure-skill/patent-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00046 | $0.00749 |
| Opus 5.5 | $0.00018 | $0.00300 |
| Sonnet 5.5 | $0.00009 | $0.00150 |
| Haiku 4.5 | $0.00005 | $0.00075 |
Grade A, and why
patent-search scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 18d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
著录检索
用途
公布站高级查询（发明人 / 申请人 / 分类号 / 名称 / 摘要等）。个人公开清单只是一种用法。单图或权要可先抽关键字再查。对照表派工时可按特征精排，另出覆盖旁路，不改列表报告。
何时用
用户要按著录字段查公布公告、个人公开清单、以图或权要生成检索式，或 /patent-search。对照表派工或用户点名「按特征精排」时再走 covers_rank.md。
输入
至少一项：发明人、申请人、分类号、名称、摘要/简要说明、申请号或公开号。单图必须 --type design|utility_model|invention，不能 all；用户没说类型时看图推断并加 --type-inferred。权要按文本选类型，可用 all。
步骤
先 Read prompts/patent_search.md。 用户给单图或权要时再 Read prompts/derived_query.md。对照表派工或用户点名「按特征精排」时再 Read prompts/covers_rank.md。翻页口径以该文件「默认少翻页 / 完整性门禁」为准。
填表语法跟公布站高级查询说明走，按字段区分，不要混用（细则见 prompts/patent_search.md）。
python skills/patent-search/tools/cnipa_search.py --inventor "姓名" --applicant "单位"
python skills/patent-search/tools/cnipa_search.py --title "数据处理" --abstract "吸附 and 再生" --class B01J20 --max-pages 2
python skills/patent-search/tools/cnipa_search.py --abstract "折叠 and 杯盖" --type design --derived-from image --type-inferred --derived-note "折叠杯盖"
python skills/patent-search/tools/cnipa_search.py --inventor "姓名" --complete
单独拷走本包时：python tools/cnipa_search.py …。改版式只动 tools/emit_search_report.py。机读前缀：EPUB_SEARCH_MD: / EPUB_SEARCH_JSON: / EPUB_SEARCH_NOTE: / EPUB_SEARCH_INCOMPLETE:。对话里给出 Markdown 路径。
护栏
- 结果不得冒充交底查新。
- 本包只做公布站高级查询。单图或权要只生成公布站布尔式。覆盖精排是列表之后的可选旁路。
产出物
outputs/patent-search/SEARCH-YYYYMMDD-HHMMSS.md（及对应 json）。精排旁路另出 SEARCH-*.covers.md / .covers.json，不改列表报告。本包不设「交付后请确认」。
What ships with it
21 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- config.yaml 883 B
- prompts/covers_rank.md 1.4 KB
- prompts/derived_query.md 3.8 KB
- prompts/patent_search.md 6.1 KB
- README.md 1.9 KB
- references/patent_type_search.yaml 961 B
- tests/__init__.py 24 B runs code
- tests/test_cnipa_search.py 33 KB runs code
- tests/test_emit_covers_report.py 2.6 KB runs code
- tests/test_emit_search_report.py 4.7 KB runs code
- tools/browser.py 6.3 KB runs code
- tools/cnipa_crawler.py 41 KB runs code
- tools/cnipa_parse.py 21 KB runs code
- tools/cnipa_search.py 14 KB runs code
- tools/derived_query.py 3.0 KB runs code
- tools/emit_covers_report.py 5.2 KB runs code
- tools/emit_search_report.py 12 KB runs code
- tools/patent_type.py 9.1 KB runs code
- tools/requirements-cnipa.txt 230 B
- tools/search_config.py 2.4 KB runs code
- tools/stdio_utf8.py 1.4 KB runs code
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 18d ago Changed · +2 lines 5e465c950902
- 26d ago Changed · -2 lines ce7718bb6158
- 1mo ago Changed · +3 lines · +16 tokens per session dc1019c6d780
- 1mo ago First seen · 41 lines · 30 tokens per session scan A 49b621bbc3aa
patent-search is a skill published in the GitHub repository handsomestWei/patent-disclosure-skill (12,313 stars, last pushed yesterday), licensed MIT. It adds 46 tokens to every session and 749 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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