input-parser

A document parser that reads a technical disclosure document, such as an inventor’s description of an invention, and turns it into structured JSON data.

In plain words
What is it for?
Use it to convert a DOCX document to Markdown and extract the title, technical problem, existing solutions and drawbacks, technical solution, benefits, and patent-search keywords.
Why use it?
It removes the need to manually find and separate the invention’s problem, existing solutions, technical details, benefits, and search terms.

Agent for Claude Code

Install

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.

agentmods
npx agentmods add agents/raw1mage/patentmcp/input-parser
Clone the repo
git clone --depth 1 https://github.com/Raw1mage/patentmcp

Made for: Claude Code.

Per session 11 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 311 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00011 $0.00311
Opus 5 $0.00005 $0.00156
Sonnet 5 $0.00002 $0.00062
Haiku 4.5 $0.00001 $0.00031

Measured yesterday against content hash fc96a69a443d, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 yesterday.

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.

refs/PatentWriterAgent/.claude/agents/input-parser.md · 33 lines

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:

  1. 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)
  2. 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)
  3. 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"
Changes

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.

  1. yesterday First seen · 33 lines · 11 tokens per session scan A fc96a69a443d

Subscribe to this mod's changes

input-parser is an agent published in the GitHub repository Raw1mage/patentmcp (2 stars, last pushed 1mo ago), licensed MIT. It adds 11 tokens to every session and 311 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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