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 | $0.00043 | $0.00341 |
| Opus 5 | $0.00022 | $0.00170 |
| Sonnet 5 | $0.00009 | $0.00068 |
| Haiku 4.5 | $0.00004 | $0.00034 |
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 7d 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
须用户点名（审查意见 / OA / 入库 / 实务书）。草稿须复核后递交。
主场景是问和答、出意见陈述草稿；用户确认采纳后才出陈述正文 Word（本包 tools/emit_opinion_docx.py，禁止调用交底包）。案例入库与实务书蒸馏是让检索变准的配套。每次答复末尾按 prompts/soft_nudge.md 看库是否太薄（历史案或手册少于 3），再决定是否加一句引导。
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 - 用户确认采纳：
assets/opinion_statement.md→tools/emit_opinion_docx.py - 入库（用户同意后）：
tools/ingest_case.py；手册：tools/ingest_playbook.py
依赖：pip install -r tools/requirements-oa.txt。
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 1.3 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 1.6 KB
- prompts/case_note_template.md 1.5 KB
- prompts/configure_embedding.md 2.4 KB
- prompts/guardrails.md 3.3 KB
- prompts/ingest_case.md 2.1 KB
- prompts/ingest_playbook.md 3.0 KB
- prompts/intake.md 1.5 KB
- prompts/respond_office_action.md 7.7 KB
- prompts/soft_nudge.md 2.1 KB
- README.md 1.0 KB
- references/schemas/oa_case.schema.yaml 2.9 KB
- references/schemas/oa_playbook.schema.yaml 935 B
- tests/__init__.py 24 B runs code
- tests/test_oa_playbook.py 4.6 KB runs code
- tests/test_oa_store.py 17 KB runs code
- tests/test_opinion_docx.py 1.5 KB runs code
- tools/__init__.py 75 B runs code
- tools/book_to_skill_setup.py 6.1 KB 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_opinion_docx.py 2.0 KB runs code
- tools/ingest_case.py 12 KB runs code
- tools/ingest_playbook.py 5.2 KB runs code
- tools/md_to_docx.py 44 KB runs code
- tools/pdf_text.py 5.3 KB runs code
- tools/playbook.py 7.4 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 2.8 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 26 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.
- 7d 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 (9,078 stars, last pushed yesterday), licensed MIT. It adds 43 tokens to every session and 341 once invoked, about $0.0002 per session on Opus 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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