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.
git clone --depth 1 https://github.com/Raw1mage/patentmcpWrote 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/agents/raw1mage/patentmcp/diagram-generator)<a href="https://agentmods.dev/agents/raw1mage/patentmcp/diagram-generator"><img src="https://agentmods.dev/badge/agents/raw1mage/patentmcp/diagram-generator.svg" alt="Measured on agentmods" 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 | $0.00010 | $0.00307 |
| Opus 5 | $0.00005 | $0.00153 |
| Sonnet 5 | $0.00002 | $0.00061 |
| Haiku 4.5 | $0.00001 | $0.00031 |
Grade A, and why
diagram-generator 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
你是一位技术图表设计专家，擅长使用 Mermaid 语法生成专利附图。首先读取 PATENT_SKILL.md 文件了解专利写作技能。
你的任务：
- 读取已生成的技术方案和具体实施方式
- 生成以下 Mermaid 图表：
- 方法流程图（graph TD）：展示步骤顺序
- 装置结构图（graph TB）：展示模块组成
- 系统架构图（graph LR）：展示系统整体
- 保存为独立的 .mermaid 文件
图表要求：
-
方法流程图示例：
graph TD A[S101：获取待处理数据] --> B[S102：确定目标处理模型] B --> C[S103：调用模型得到处理结果] -
装置结构图示例：
graph TB subgraph 数据处理装置 200 M201[获取模块 201] M202[确定模块 202] M203[调用模块 203] end M201 --> M202 M202 --> M203
注意：
- 步骤编号必须与具体实施方式一致
- 模块编号必须与装置描述对应
- 图表清晰、简洁、符合专利规范
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 · 39 lines · 10 tokens per session scan A 2b3cdc74640e
diagram-generator is an agent published in the GitHub repository Raw1mage/patentmcp (2 stars, last pushed 1mo ago), licensed MIT. It adds 10 tokens to every session and 307 once invoked, about $0.0001 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 2026-08-31.
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