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jurisdiction-format

jurisdiction-format is a skill for Claude Code from raja21068/AutoResearch. It costs 47 tokens per session (1,689 once invoked), scanned A, a copy of jurisdiction-format, MIT.

A document-formatting workflow that compiles a patent application into filing formats for China, the United States, or Europe. It uses claims, specifications, figures, and invention metadata as inputs.

In plain words
What is it for?
Use it to prepare review or filing documents for CNIPA, the USPTO, the EPO, or several of them.
Why use it?
It helps adapt the same patent material to the required structure and formatting of different patent offices.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

not rated 2repo 3mo ago A scan 47 tokens copy · 100% MIT

Good fit Use it to prepare review or filing documents for CNIPA, the USPTO, the EPO, or several of them.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/raja21068/autoresearch/jurisdiction-format
View source ↗ raja21068/AutoResearch
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.

Any agent
npx skills add raja21068/AutoResearch --skill jurisdiction-format
Clone the repo
git clone --depth 1 https://github.com/raja21068/AutoResearch

Made for: Claude Code.

Wrote 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.

agentmods badge for jurisdiction-format

README.md
[![agentmods](https://agentmods.dev/badge/skills/raja21068/autoresearch/jurisdiction-format/github.svg)](https://agentmods.dev/skills/raja21068/autoresearch/jurisdiction-format)
Your own site
<a href="https://agentmods.dev/skills/raja21068/autoresearch/jurisdiction-format"><img src="https://agentmods.dev/badge/skills/raja21068/autoresearch/jurisdiction-format/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.

agentmods 80×15 button for jurisdiction-format

Your own site · 80×15
<a href="https://agentmods.dev/skills/raja21068/autoresearch/jurisdiction-format"><img src="https://agentmods.dev/badge/skills/raja21068/autoresearch/jurisdiction-format.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 47 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,689 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 100% copy Near-identical to another mod 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 5.1 $0.00047 $0.01689
Opus 5 $0.00023 $0.00844
Sonnet 5 $0.00009 $0.00338
Haiku 4.5 $0.00005 $0.00169

Measured 8d ago against content hash 2bca42a75ba0, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

jurisdiction-format 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 8d 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.

Origin

This is a copy

100% identical to jurisdiction-format — 2 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

skills/aris/jurisdiction-format/SKILL.md · 193 lines

How it starts

The opening of the file, as written. The whole thing — 193 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Jurisdiction Format: Patent Filing Compilation

Compile the patent application into filing-ready format based on: $ARGUMENTS

Analogous to /paper-compile but for patent document formatting instead of LaTeX.

Constants

  • JURISDICTION = "auto" — From pipeline or args: CN, US, EP, ALL
  • PATENT_TYPE = "invention" — invention (发明专利) or utility_model (实用新型, CN only)
  • OUTPUT_FORMAT = "markdown" — markdown (for review) or docx (for filing, requires python-docx)
  • OUTPUT_DIR = "patent/output/" — Base output directory

Inputs

  1. patent/CLAIMS.md — drafted claims
  2. patent/specification/ — all specification sections (title, technical_field, background, summary, drawings_description, detailed_description, abstract)
  3. patent/figures/ — figure descriptions and numeral index
  4. patent/INVENTION_DISCLOSURE.md — for metadata

Shared References

Load ../shared-references/patent-format-cn.md for CNIPA document structure and formatting rules. Load ../shared-references/patent-format-us.md for USPTO document structure. Load ../shared-references/patent-format-ep.md for EPO document structure.

Workflow

Step 1: Determine Output Jurisdictions

From $ARGUMENTS or constant:

  • CN -> Generate CNIPA format only
  • US -> Generate USPTO format only
  • EP -> Generate EPO format only
  • ALL -> Generate all three formats

Step 2: Generate CN Format (if CN or ALL)

Output to patent/output/CN/:

权利要求书 (Claims)
  • Extract claims from patent/CLAIMS.md
  • Format per CNIPA conventions:
    • Independent claims: "1. 一种[主题]的方法，...其特征在于..."
    • Dependent claims: "2. 根据权利要求1所述的方法，其特征在于..."
  • Ensure Chinese terminology is correct (所述, 其特征在于, 包括, 等)
说明书 (Description)

Combine all specification sections in CNIPA order:

  1. 发明名称 (from title.md)
  2. 技术领域 (from technical_field.md)
  3. 背景技术 (from background.md)
  4. 发明内容 (from summary.md — split into 技术问题/技术方案/有益效果)
  5. 附图说明 (from drawings_description.md)
  6. 具体实施方式 (from detailed_description.md)

Read the full file on GitHub · 193 lines

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. 8d ago First seen · 193 lines · 47 tokens per session scan A 2bca42a75ba0

Subscribe to this mod's changes

jurisdiction-format is a skill published in the GitHub repository raja21068/AutoResearch (2 stars, last pushed 3mo ago), licensed MIT. It adds 47 tokens to every session and 1,689 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to jurisdiction-format, differing in 2 lines, and is treated as a copy.

Claude CodeDocumentsLegal and complianceagentic-aianthropicantigravityarvixautomated-paper-writing
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