patent-application-analyzer-agent-skill CLAUDE.md

patent-application-analyzer-agent-skill CLAUDE.md is an instructions file for Claude Code from dungnotnull/patent-application-analyzer-agent-skill. It costs 1,325 tokens per session, scanned A, original, MIT.

An analysis skill for patent applications that examines novelty, non-obviousness, eligibility, grantability, and the breadth of claims using patent-office standards. Patent claims define the legal scope of an invention.

In plain words
What is it for?
Use it to screen patent applications against USPTO, EPO, and WIPO criteria and produce structured findings and improvement recommendations.
Why use it?
It helps identify claims that may already be known, too broad, or unsuitable for patent protection before filing.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions CLAUDE.md.

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 instructions/dungnotnull/patent-application-analyzer-agent-skill/claude-md
Clone the repo
git clone --depth 1 https://github.com/dungnotnull/patent-application-analyzer-agent-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 patent-application-analyzer-agent-skill CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/dungnotnull/patent-application-analyzer-agent-skill/claude-md.svg)](https://agentmods.dev/instructions/dungnotnull/patent-application-analyzer-agent-skill/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/dungnotnull/patent-application-analyzer-agent-skill/claude-md"><img src="https://agentmods.dev/badge/instructions/dungnotnull/patent-application-analyzer-agent-skill/claude-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,325 This file is loaded in full into every session.
When invoked 1,325 The same file — it is already loaded in full.
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 5.1 $0.01325 $0.01325
Opus 5 $0.00662 $0.00662
Sonnet 5 $0.00265 $0.00265
Haiku 4.5 $0.00133 $0.00133

Measured 5d ago against content hash 192fb02328ed, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

patent-application-analyzer-agent-skill CLAUDE.md 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 5d 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.

CLAUDE.md · 78 lines

How it starts

The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.

CLAUDE.md — Patent Application Analyzer (novelty, grantability, scope) (Skill #131)

Slug: patent-application-analyzerCluster: legal-complianceSource idea: 131 • Phase: Built (v1, production-grade)

Tagline

Analyzes patent applications for novelty, non-obviousness, grantability, and claim scope against USPTO/EPO/WIPO standards.

Problem This Skill Solves

Inventors file claims that are too broad, anticipated by prior art, or fail subject-matter eligibility, wasting fees and losing priority. This skill provides a structured patentability screen grounded in patent-office practice.

Harness Flow Summary

  1. Intake (sub-intake) — gather structured inputs, scope, goals.
  2. Framework selection (sub-framework-selector) — choose named world-renowned framework(s).
  3. Research (WebSearch/WebFetch + SECOND-KNOWLEDGE-BRAIN) — gather highest-tier evidence.
  4. Scoring (sub-scoring-engine) — multi-dimensional weighted scores with citations.
  5. Challenge — devil's-advocate review of assumptions and weak evidence.
  6. Roadmap (sub-improvement-roadmap) — prioritized effort/impact recommendations.
  7. Compliance check (sub-compliance-check) — MANDATORY BLOCKING gate before final output.
  8. Synthesize — assemble the professional deliverable; pass Quality Gates.

Gates

  • Compliance gate (BLOCKING): sub-compliance-check MUST run before the final deliverable, attaching required disclaimers. A failing gate withholds the deliverable until revised and re-passed.

Sub-skills

  • skills/sub-compliance-check.md — Compliance Check: Verify outputs against applicable regulations/standards and attach the required informational/non-advice disclaimers before final delivery. BLOCKING gate.
  • skills/sub-intake.md — Intake & Context Gathering: Collect the structured inputs, scope, and goals needed to run the analysis; ask clarifying questions when key facts are missing.
  • skills/sub-framework-selector.md — Evaluation Framework Selector: Pick the most appropriate named world-renowned framework(s) for the case and justify the choice.
  • skills/sub-scoring-engine.md — Scoring Engine: Apply the multi-dimensional rubric to produce weighted scores with evidence citations for each dimension.
  • skills/sub-improvement-roadmap.md — Improvement Roadmap: Generate a prioritized, effort/impact-ranked set of recommendations traceable to the scored findings.

Read the full file on GitHub · 78 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. 5d ago First seen · 78 lines · 1,325 tokens per session scan A 192fb02328ed

Subscribe to this mod's changes

patent-application-analyzer-agent-skill CLAUDE.md is an instructions file published in the GitHub repository dungnotnull/patent-application-analyzer-agent-skill (5 stars, last pushed 2mo ago), licensed MIT. It adds 1,325 tokens to every session, about $0.0066 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.

Related

Other instructions, from other repositories