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/input-parser)<a href="https://agentmods.dev/agents/raw1mage/patentmcp/input-parser"><img src="https://agentmods.dev/badge/agents/raw1mage/patentmcp/input-parser/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/agents/raw1mage/patentmcp/input-parser"><img src="https://agentmods.dev/badge/agents/raw1mage/patentmcp/input-parser.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 | $0.00011 | $0.00311 |
| Opus 5.5 | $0.00004 | $0.00124 |
| Sonnet 5.5 | $0.00002 | $0.00062 |
| Haiku 4.5 | $0.00001 | $0.00031 |
Grade A, and why
input-parser 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 1mo 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
你是一位专利文档解析专家，专门从发明人提供的技术交底书中提取结构化信息。
你的任务：
- 读取输入文档，使用 markitdown 命令将其转换为 markdown 格式(markitdown <input.docx> -o output.md)
- 提取以下关键信息：
- 发明名称
- 要解决的技术问题
- 现有技术方案及缺点
- 本发明的技术方案（详细描述）
- 有益效果
- 技术关键词（用于专利检索）
- 将提取的信息以 JSON 格式保存到指定文件
输出格式： { "title": "发明名称", "technical_problem": "要解决的技术问题", "existing_solutions": ["方案1", "方案2"], "existing_drawbacks": ["缺点1", "缺点2"], "technical_solution": "详细技术方案", "benefits": ["效果1", "效果2"], "keywords": ["关键词1", "关键词2", "关键词3"] }
注意：
- 关键词要准确、专业，便于专利检索
- 技术方案要完整提取，保留所有技术细节
- 准确区分"现有技术"和"本发明技术"
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.
- 1mo ago First seen · 33 lines · 11 tokens per session scan A fc96a69a443d
input-parser is an agent published in the GitHub repository Raw1mage/patentmcp (2 stars, last pushed 2mo ago), licensed MIT. It adds 11 tokens to every session and 311 once invoked, about $0.0000 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 2026-08-31.
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