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-mapgit 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-map)<a href="https://agentmods.dev/skills/handsomestwei/patent-disclosure-skill/patent-map"><img src="https://agentmods.dev/badge/skills/handsomestwei/patent-disclosure-skill/patent-map/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-map"><img src="https://agentmods.dev/badge/skills/handsomestwei/patent-disclosure-skill/patent-map.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 | $0.00048 | $0.00511 |
| Opus 5 | $0.00024 | $0.00255 |
| Sonnet 5 | $0.00010 | $0.00102 |
| Haiku 4.5 | $0.00005 | $0.00051 |
Grade A, and why
patent-map 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 today.
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
专利地图
须用户点名（专利地图 / 案例地图 / /专利地图 / /patent-map）。
不要因「读专利 / 写交底」自动进入。解读继续只入库；本包只读 vault、起本地页。
Readprompts/guardrails.md→intake.md- 确认库路径（与解读同一份：
PATENT_READER_OBSIDIAN_VAULT或~/.patent-disclosure-skill/obsidian_vault.txt） - 启动：
python skills/patent-map/tools/serve_map.py
stdout 机读前缀：MAP_URL: / MAP_PORT: / MAP_VAULT: / MAP_SOURCE: / MAP_CACHE: / MAP_MODEL:。
端口由系统随机分配（127.0.0.1:0），避免冲突。对话里把 URL 发给用户；不要把服务焊进解读入库。
地形图按解读短文向量摊开。加载名 BAAI/bge-small-zh-v1.5，磁盘只装 Qdrant ONNX（不要 PyTorch）。数据与模型默认目录：{Documents}/patent-disclosure-skill/patent-map/（与 oa 同级）。未装 fastembed 时图仍能开，地形退回 IPC 簇。
可选：
pip install -r skills/patent-map/tools/requirements.txt
python skills/patent-map/tools/ensure_model.py
单独拷走本包时：python tools/serve_map.py。
取数：优先扫库目录 Research/Patents/**/*_解读_*.md。若本机 obsidian CLI 可用且库已打开，用 obsidian vaults / base:query 核对，不替代磁盘扫描。
What ships with it
43 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.
- data/ipc_subclasses_2026.01.csv 86 KB
- prompts/guardrails.md 2.3 KB
- prompts/intake.md 910 B
- README.md 1.3 KB
- tests/test_map.py 14 KB runs code
- tools/__init__.py 0 B runs code
- tools/embed_layout.py 7.4 KB runs code
- tools/ensure_model.py 396 B runs code
- tools/ipc_scheme/__init__.py 67 B runs code
- tools/ipc_scheme/__main__.py 79 B runs code
- tools/ipc_scheme/build.py 429 B runs code
- tools/ipc_scheme/cli.py 2.0 KB runs code
- tools/ipc_scheme/config.py 2.7 KB runs code
- tools/ipc_scheme/download.py 5.7 KB runs code
- tools/ipc_scheme/emit.py 860 B runs code
- tools/ipc_scheme/parse.py 5.5 KB runs code
- tools/ipc_scheme/README.md 2.2 KB
- tools/ipc_scheme/requirements.txt 110 B
- tools/ipc_scheme/testdata/sample_en_scheme.xml 756 B
- tools/ipc_scheme/testdata/sample_ipcpub.json 122 B
- tools/ipc_titles.py 2.0 KB runs code
- tools/map_cache.py 5.9 KB runs code
- tools/model_store.py 15 KB runs code
- tools/requirements.txt 175 B
- tools/serve_map.py 6.6 KB runs code
- tools/vault_index.py 15 KB runs code
- web/index.html 5.0 KB
- web/js/app.js 1.9 KB runs code
- web/js/camera.js 8.6 KB runs code
- web/js/chrome.js 3.3 KB runs code
- web/js/core.js 6.2 KB runs code
- web/js/detail.js 5.3 KB runs code
- web/js/layout.js 6.6 KB runs code
- web/js/view-bubble.js 5.7 KB runs code
- web/js/view-citation.js 2.7 KB runs code
- web/js/view-dashboard.js 8.1 KB runs code
- web/js/view-matrix.js 13 KB runs code
- web/js/view-terrain.js 14 KB runs code
- web/styles.css 10 KB
- web/terrain3d.js 10 KB runs code
- web/vendor/README.txt 129 B
- web/vendor/THREE_LICENSE 1.1 KB
- web/vendor/three.module.min.js 675 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.
- today First seen · 35 lines · 48 tokens per session scan A 20e87df7b2d2
patent-map is a skill published in the GitHub repository handsomestWei/patent-disclosure-skill (9,222 stars, last pushed yesterday), licensed MIT. It adds 48 tokens to every session and 511 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 2026-09-12.
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