Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add jiutuhky/my-super-capsule/plugin install patent-writerWrote 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/jiutuhky/my-super-capsule/patent-diagram-drawing)<a href="https://agentmods.dev/skills/jiutuhky/my-super-capsule/patent-diagram-drawing"><img src="https://agentmods.dev/badge/skills/jiutuhky/my-super-capsule/patent-diagram-drawing/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/jiutuhky/my-super-capsule/patent-diagram-drawing"><img src="https://agentmods.dev/badge/skills/jiutuhky/my-super-capsule/patent-diagram-drawing.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 | $0.00122 | $0.01296 |
| Opus 5 | $0.00061 | $0.00648 |
| Sonnet 5 | $0.00024 | $0.00259 |
| Haiku 4.5 | $0.00012 | $0.00130 |
Grade A, and why
patent-diagram-drawing 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
专利附图 PNG 生成
通过 Google Gemini Image API 生成符合中国国家知识产权局（CNIPA）标准的纯黑白工程制图风格专利附图。
前置条件
环境变量
| 变量名 | 必需 | 说明 |
|---|---|---|
GEMINI_API_KEY |
是（优先） | Gemini API 密钥 |
GOOGLE_API_KEY |
备选 | 当 GEMINI_API_KEY 未设置时使用 |
GEMINI_BASE_URL |
否（优先） | 自定义 API 端点 |
GOOGLE_API_BASE_URL |
备选 | 当 GEMINI_BASE_URL 未设置时使用 |
Python 依赖：pip install google-genai
Workflow
Step 1: 读取风格规范
Read ${CLAUDE_PLUGIN_ROOT}/skills/patent-diagram-drawing/references/patent-diagram-spec.md to load CNIPA diagram standards (line weights, numbering formats, layout rules). Strictly follow all rules defined there.
Step 2: 读取项目输入
Locate the project working directory (output/temp_[uuid]/). If invoked as /write-patent Step 2, reuse the directory from Step 1. Read:
04_content/description.md— 具体实施方式全文03_outline/structure_mapping.json— 结构映射（图号、模块编号对应关系）
Step 3: 确定附图列表
Based on description content and structure mapping, identify all diagrams to generate:
| 类型 | 触发条件 | 编号 |
|---|---|---|
| 方法流程图 | 每个方法权利要求对应一张 | S101, S102... |
| 装置结构框图 | 每个装置权利要求对应一张 | 201, 202... |
| 系统架构图 | 涉及多组件交互时 | 301, 302... |
| 硬件截面图 | 涉及物理结构时 | 引出线编号 |
Step 4: 逐一生成附图
Read ${CLAUDE_PLUGIN_ROOT}/skills/patent-diagram-drawing/references/prompt-templates.md to get prompt templates. Select the template matching the diagram type (flowchart, apparatus, system, cross-section) and fill in placeholders from description.md and structure_mapping.json.
Create output directories, then execute for each diagram:
mkdir -p {PROJECT_DIR}/05_diagrams/{flowcharts,structural_diagrams,cross_sections}
GEMINI_API_KEY="${GEMINI_API_KEY:-$GOOGLE_API_KEY}" \
GEMINI_BASE_URL="${GEMINI_BASE_URL:-$GOOGLE_API_BASE_URL}" \
python3 "${CLAUDE_PLUGIN_ROOT}/skills/patent-diagram-drawing/scripts/generate.py" \
"<PROMPT>" --ratio 3:4 -o "<OUTPUT_PATH>" --size 2K -v
<PROMPT>: Full English prompt constructed from template with placeholders filled<OUTPUT_PATH>: Absolute path to output PNG (e.g.,05_diagrams/flowcharts/method_flow.png)
What ships with it
3 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.
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.
- 12d ago First seen · 113 lines · 122 tokens per session scan A 46a77101346d
patent-diagram-drawing is a skill published in the GitHub repository jiutuhky/my-super-capsule (11 stars, last pushed 6mo ago), licensed MIT. It adds 122 tokens to every session and 1,296 once invoked, about $0.0006 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 2026-08-30.
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