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claims-drafting

claims-drafting is a skill for Claude Code from AutoConference/AutoConference-skill. It costs 53 tokens per session (2,530 once invoked), scanned A, a copy of claims-drafting, Apache-2.0.

A workflow for drafting patent claims, the legal statements that define what an invention seeks to protect. It uses an invention description and prior-art information, where prior art means earlier public technology or publications.

In plain words
What is it for?
Use it to draft method and system claims, define the scope of patent protection, and revise claims against novelty findings or prior art.
Why use it?
It helps translate a technical invention into claims while accounting for earlier disclosures and the intended legal jurisdiction.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

not rated 13repo 4d ago A scan 53 tokens copy · 100% Apache-2.0

Good fit Use it to draft method and system claims, define the scope of patent protection, and revise claims against novelty findings or prior art.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/autoconference/autoconference-skill/claims-drafting
View source ↗ AutoConference/AutoConference-skill
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 AutoConference/AutoConference-skill --skill claims-drafting
Clone the repo
git clone --depth 1 https://github.com/AutoConference/AutoConference-skill

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 claims-drafting

README.md
[![agentmods](https://agentmods.dev/badge/skills/autoconference/autoconference-skill/claims-drafting/github.svg)](https://agentmods.dev/skills/autoconference/autoconference-skill/claims-drafting)
Your own site
<a href="https://agentmods.dev/skills/autoconference/autoconference-skill/claims-drafting"><img src="https://agentmods.dev/badge/skills/autoconference/autoconference-skill/claims-drafting/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 claims-drafting

Your own site · 80×15
<a href="https://agentmods.dev/skills/autoconference/autoconference-skill/claims-drafting"><img src="https://agentmods.dev/badge/skills/autoconference/autoconference-skill/claims-drafting.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,530 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 $0.00053 $0.02530
Opus 5.5 $0.00021 $0.01012
Sonnet 5.5 $0.00011 $0.00506
Haiku 4.5 $0.00005 $0.00253

Measured 1mo ago against content hash 701d3111d876, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

claims-drafting 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.

Origin

This is a copy

100% identical to claims-drafting — 21 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/claims-drafting/SKILL.md · 228 lines

How it starts

The opening of the file, as written. The whole thing — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Claims Drafting: The Core Patent Skill

Draft patent claims based on: $ARGUMENTS

This is the most critical skill in the patent pipeline. Claims define the legal scope of protection -- everything else (specification, figures, abstract) exists to support and enable the claims.

Constants

  • REVIEWER_MODEL = gpt-5.6-sol — External examiner for claim quality review
  • MAX_CLAIM_REVISION_ROUNDS = 3 — Maximum revision iterations
  • CLAIM_STYLE = "auto" — US (Jepson or open), EP (two-part mandatory), CN (two-part), auto (detect from jurisdiction)
  • MIN_INDEPENDENT_CLAIMS = 2 — Typically method + system. For utility model (实用新型): apparatus/device only, NO method claims.
  • MAX_TOTAL_CLAIMS = 20 — Practical limit (USPTO includes 20 in base fee)
  • PATENT_TYPE = "invention" — invention (发明专利) or utility_model (实用新型, apparatus claims only)

Inputs

  1. patent/INVENTION_DISCLOSURE.md — structured invention with core/supporting/optional features
  2. patent/PRIOR_ART_REPORT.md — prior art to avoid
  3. patent/NOVELTY_ASSESSMENT.md — novelty analysis with suggested amendments
  4. Target jurisdiction from invention disclosure or $ARGUMENTS

Shared References

Load ../shared-references/patent-writing-principles.md for claim drafting principles, antecedent basis rules, and common pitfalls. Load ../shared-references/patent-format-cn.md for CN claim format (其特征在于). Load ../shared-references/patent-format-us.md for US claim format (comprising, means-plus-function). Load ../shared-references/patent-format-ep.md for EP two-part form (characterised in that).

Workflow

Step 1: Determine Claim Style and Patent Type

Based on patent type and jurisdiction:

If PATENT_TYPE = utility_model (实用新型):

  • CN jurisdiction ONLY
  • Apparatus/device claims ONLY — no method, no product-by-process
  • MIN_INDEPENDENT_CLAIMS = 1 (single apparatus claim is sufficient)
  • Claim format: "1. 一种[主题]，其特征在于，包括：[组件描述]。"

Based on target jurisdiction:

Jurisdiction Claim Style Characterising Phrase Preamble Format
CN Two-part (两部式) 其特征在于 一种...的方法/装置，包括：
US Open (preferred) comprising A method for..., comprising:
EP Two-part (mandatory) characterised in that A method for..., comprising [known], characterised in that [inventive]
ALL Draft CN + US + EP All of the above All of the above

Read the full file on GitHub · 228 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. 1mo ago First seen · 228 lines · 53 tokens per session scan A 701d3111d876

Subscribe to this mod's changes

claims-drafting is a skill published in the GitHub repository AutoConference/AutoConference-skill (13 stars, last pushed 4d ago), licensed Apache-2.0. It adds 53 tokens to every session and 2,530 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to claims-drafting, differing in 21 lines, and is treated as a copy.

Legal and compliance
Related

claims-drafting compared with skills from other repositories

claims-drafting next to 6 skills from other repositories
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claims-draftingAutoConference/AutoConference-skillSkill134d agoApache-2.0A53Claude Code
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terms-of-servicegenspark-ai/genofficeSkill12kyesterdayApache-2.0A32Claude Code, Codex
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