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-oagit 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-oa)<a href="https://agentmods.dev/skills/handsomestwei/patent-disclosure-skill/patent-oa"><img src="https://agentmods.dev/badge/skills/handsomestwei/patent-disclosure-skill/patent-oa/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-oa"><img src="https://agentmods.dev/badge/skills/handsomestwei/patent-disclosure-skill/patent-oa.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 | $0.00035 | $0.00578 |
| Opus 5.5 | $0.00014 | $0.00231 |
| Sonnet 5.5 | $0.00007 | $0.00116 |
| Haiku 4.5 | $0.00003 | $0.00058 |
Grade A, and why
patent-oa 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 27d 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
审查答复辅助
用途
审查意见问答与内部草稿；用户确认采纳后才出意见陈述 Word。案例入库是让检索变准的配套。草稿须复核后递交，不替代代理签字。
何时用
须用户点名（审查意见 / OA / 入库，或 /oa）。库薄时先引导入库，不要挂进交底或解读的默认步骤。
输入
审查意见通知书、本申请文件、可选对比文件 PDF；向量配置可选。新颖性/创造性且通知书列了对比文件时，另用本包对照副本收三件套。
步骤
Readprompts/guardrails.md→intake.md- 向量可选：
prompts/configure_embedding.md+tools/config.py - 答复：
prompts/respond_office_action.md+tools/search_cases.py --pdf；有对比文件的实体缺陷用本包write_intake.py/emit_chart.py导出驳回映射（同一会话目录） - 用户确认采纳：
assets/opinion_statement.md→ 本包tools/emit_opinion_docx.py - 入库（用户同意后）：
tools/ingest_case.py
依赖：pip install -r tools/requirements-oa.txt。每次答复完整回答的末块为 ## 交付后请确认，按 prompts/soft_nudge.md 看库是否太薄（历史案少于 3），再决定是否加「案例入库」。
护栏
- 细则
prompts/guardrails.md。对照导出用本包write_intake.py/emit_chart.py。意见陈述 Word 用本包emit_opinion_docx.py。
产出物
outputs/oa/{案件}/{会话}/：意见陈述草稿 Markdown；确认后的 .docx；有对比文件时另有 对照表-审查答复-{时间戳}.xlsx（「驳回映射」页，表不写入陈述正文）。对话末块标题 交付后请确认。
What ships with it
44 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.
- assets/obsidian/oa.base.yaml 1.2 KB
- assets/opinion_statement.md 1.1 KB
- docs/.gitignore 49 B
- docs/embedding.config.yaml 962 B
- docs/vault.md 1.2 KB
- examples/example_oa_response/cases/history/hist-clarity-connector.md 1.1 KB
- examples/example_oa_response/cases/history/hist-inventiveness-clamp.md 1.3 KB
- examples/example_oa_response/pending/oa_notice_pending.md 1.4 KB
- examples/example_oa_response/README.md 1.8 KB
- prompts/case_note_template.md 1.5 KB
- prompts/configure_embedding.md 2.4 KB
- prompts/guardrails.md 3.0 KB
- prompts/ingest_case.md 2.0 KB
- prompts/intake.md 1.3 KB
- prompts/respond_office_action.md 8.2 KB
- prompts/soft_nudge.md 1.8 KB
- README.md 1.1 KB
- references/schemas/oa_case.schema.yaml 2.8 KB
- tests/__init__.py 24 B runs code
- tests/test_chart_tools_sync.py 983 B runs code
- tests/test_oa_store.py 17 KB runs code
- tests/test_opinion_docx.py 1.9 KB runs code
- tools/__init__.py 75 B runs code
- tools/case_md.py 2.6 KB runs code
- tools/config.py 31 KB runs code
- tools/embed.py 8.0 KB runs code
- tools/emit_chart.py 41 KB runs code
- tools/emit_opinion_docx.py 2.4 KB runs code
- tools/highlights.py 13 KB runs code
- tools/ingest_case.py 12 KB runs code
- tools/latex_delimiters.py 6.4 KB runs code
- tools/md_to_docx.py 45 KB runs code
- tools/pdf_text.py 5.3 KB runs code
- tools/README.md 2.6 KB
- tools/rebuild_vectors.py 5.3 KB runs code
- tools/redact.py 1.8 KB runs code
- tools/refresh_vault.py 2.6 KB runs code
- tools/requirements-oa.txt 386 B
- tools/search_cases.py 7.3 KB runs code
- tools/stdio_utf8.py 1.4 KB runs code
- tools/store.py 14 KB runs code
- tools/vault_layout.py 24 KB runs code
- tools/write_intake.py 9.4 KB runs code
- tools/xlsx_minimal.py 25 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.
- 27d ago Changed · +19 lines · -8 tokens per session cafc4ad2a21e
- 1mo ago Changed 05967600af42
- 1mo ago First seen · 19 lines · 43 tokens per session scan A c3906b14f587
patent-oa is a skill published in the GitHub repository handsomestWei/patent-disclosure-skill (12,373 stars, last pushed today), licensed MIT. It adds 35 tokens to every session and 578 once invoked, about $0.0001 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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