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.
npx skills add ThomasMoreAI/legal-skills-open --skill jurisdiction-formatgit clone --depth 1 https://github.com/ThomasMoreAI/legal-skills-openWrote 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/thomasmoreai/legal-skills-open/jurisdiction-format)<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/jurisdiction-format"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/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.
<a href="https://agentmods.dev/skills/thomasmoreai/legal-skills-open/jurisdiction-format"><img src="https://agentmods.dev/badge/skills/thomasmoreai/legal-skills-open/jurisdiction-format.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 | $0.00047 | $0.01741 |
| Opus 5 | $0.00023 | $0.00870 |
| Sonnet 5 | $0.00009 | $0.00348 |
| Haiku 4.5 | $0.00005 | $0.00174 |
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 9d 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.
This is a copy
89% identical to jurisdiction-format — 13 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.
How it starts
The opening of the file, as written. The whole thing — 200 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,ALLPATENT_TYPE = "invention"—invention(发明专利) orutility_model(实用新型, CN only)OUTPUT_FORMAT = "markdown"—markdown(for review) ordocx(for filing, requires python-docx)OUTPUT_DIR = "patent/output/"— Base output directory
Inputs
patent/CLAIMS.md— drafted claimspatent/specification/— all specification sections (title, technical_field, background, summary, drawings_description, detailed_description, abstract)patent/figures/— figure descriptions and numeral indexpatent/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 onlyUS-> Generate USPTO format onlyEP-> Generate EPO format onlyALL-> 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:
- 发明名称 (from title.md)
- 技术领域 (from technical_field.md)
- 背景技术 (from background.md)
- 发明内容 (from summary.md — split into 技术问题/技术方案/有益效果)
- 附图说明 (from drawings_description.md)
- 具体实施方式 (from detailed_description.md)
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.
- 9d ago First seen · 200 lines · 47 tokens per session scan A 136e3b3273cd
jurisdiction-format is a skill published in the GitHub repository ThomasMoreAI/legal-skills-open (72 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 47 tokens to every session and 1,741 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to jurisdiction-format, differing in 13 lines, and is treated as a copy.
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