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-chartgit 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-chart)<a href="https://agentmods.dev/skills/handsomestwei/patent-disclosure-skill/patent-chart"><img src="https://agentmods.dev/badge/skills/handsomestwei/patent-disclosure-skill/patent-chart/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-chart"><img src="https://agentmods.dev/badge/skills/handsomestwei/patent-disclosure-skill/patent-chart.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00072 | $0.00852 |
| Opus 5.5 | $0.00029 | $0.00341 |
| Sonnet 5.5 | $0.00014 | $0.00170 |
| Haiku 4.5 | $0.00007 | $0.00085 |
Grade A, and why
patent-chart 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 15d 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
权利要求对照表
用途
把独权（默认兼从权）拆成技术特征，逐格比对对比文件 / 产品 / 标准，附证据与强弱。用于无效对照、FTO 初筛、侵权/EoU、SEP、可专利性、审查答复驳回映射。本包只填矩阵并导出。左列特征、右列原文、补搜命中由解读包 / 检索包生产。
何时用
须用户点名（对照表 / claim chart / 无效对照 / FTO 初筛 / 侵权对照 / /patent-chart）。
输入
左列须有公开号 / PDF / 权要 / claim_features.json / 交底 5.1。材料在对话里收集（prompts/intake.md 先 --alloc）；三件套不齐只提问。不够就提问，收齐并 INTAKE_OK:1 后才分析、才写 intake.json。
步骤
先 Read prompts/guardrails.md，再 Read prompts/intake.md。
派工必须先 Read 对方 SKILL.md，再按其流程跑该包 tools/。解读包被对照表派工时：Obsidian 未就绪则降级 outputs/patent_reader/；默认把从属权也拆进 claim_features.json。
prompts/guardrails.md→intake.md（先--alloc；三件套不齐只提问。收齐并INTAKE_OK:1后才分析）- 缺
claim_features.json或对照专利的description_paragraphs.json→Readskills/patent-reader/SKILL.md。对照表只要这两份文件（从属权也拆进特征行）。不写通俗笔记、不入库、不裁附图。全文 PDF 用解读包fetch_patent_pdf.py。下不来就请用户给 PDF。 - 用户允许补 D 且有空格 →
Readskills/patent-search/SKILL.md，再按其covers_rank.md出旁路 prompts/fill_chart.md填格（跨列同色、书面对应说明、完整摘录）python skills/patent-chart/tools/emit_chart.py --json <payload.json> --into <INTAKE_DIR>- 交付末块
Readprompts/delivery_confirm.md
护栏
- 细则
prompts/guardrails.md。
产出物
outputs/patent-chart/{案件}/{会话}/：intake.json（本轮输入归档）+ 对照表-{场景}-{时间戳}.xlsx（主交付）+ chart.json（机读底稿）。xlsx 固定含总览 / 对照表 / 明细 / 图例；invalidity 加「路径备忘」，fto 加「风险清单」，infringement 加「证据缺口」，oa 加「驳回映射」。对话末块标题 交付后请确认。
What ships with it
14 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.
- examples/example_cgm_implant_chart/README.md 1.7 KB
- prompts/delivery_confirm.md 833 B
- prompts/fill_chart.md 4.4 KB
- prompts/guardrails.md 1.9 KB
- prompts/intake.md 4.3 KB
- README.md 1.6 KB
- references/handoff.md 1.3 KB
- tests/test_emit_chart.py 18 KB runs code
- tests/test_highlights.py 3.7 KB runs code
- tests/test_write_intake.py 6.5 KB runs code
- tools/emit_chart.py 46 KB runs code
- tools/highlights.py 13 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.
- 15d ago First seen · 41 lines · 72 tokens per session scan A 63e126866c7c
patent-chart is a skill published in the GitHub repository handsomestWei/patent-disclosure-skill (11,680 stars, last pushed yesterday), licensed MIT. It adds 72 tokens to every session and 852 once invoked, about $0.0003 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 2026-10-01.
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