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 lsj4232/KR_PATENT_SKILL --skill kr-patent-detail-description-reviewgit clone --depth 1 https://github.com/lsj4232/KR_PATENT_SKILLWrote 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/lsj4232/kr_patent_skill/kr-patent-detail-description-review)<a href="https://agentmods.dev/skills/lsj4232/kr_patent_skill/kr-patent-detail-description-review"><img src="https://agentmods.dev/badge/skills/lsj4232/kr_patent_skill/kr-patent-detail-description-review/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/lsj4232/kr_patent_skill/kr-patent-detail-description-review"><img src="https://agentmods.dev/badge/skills/lsj4232/kr_patent_skill/kr-patent-detail-description-review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00564 | $0.05256 |
| Opus 5 | $0.00282 | $0.02628 |
| Sonnet 5 | $0.00113 | $0.01051 |
| Haiku 4.5 | $0.00056 | $0.00526 |
Grade A, and why
kr-patent-detail-description-review 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 365 lines — stays where its author put it; the contents beside it link to each section on GitHub.
kr-patent-detail-description-review — 상세 설명 ITER 10 정형 검토
무엇을 하는가
한국 특허 명세서의 【발명을 실시하기 위한 구체적인 내용】(이하 S13 실시예 본문)이 ITER 10 작성 프롬프트의 보일러플레이트 룰 + 자가 점검 11항목(W)을 따르는지 정밀 검토한다.
작성 프롬프트 전문은 references/iter10_drafting_prompt.md에 보존. 본 SKILL.md는 그 프롬프트를 검토 룰셋으로 변환한 형태.
C표 시퀀스(청구항 1 × 7단락) 제외: 도면 단위 본문 구성 등 합리적 변형이 흔하여 본 스킬의 자동 점검 룰에서 제외. 필요 시 정독으로만 보강.
언제 사용하는가
kr-patent-spec-drafting로 S13 본문 작성 직후 자체 점검- 청구항 본문 1:1 매핑 작업 이후 단락 구조·서식 검증
- 외부 변리사 작성본 받아 S13 정형 준수 여부 확인
kr-patent-consistency-check통과 후 S13만 더 깊이 점검하고 싶을 때
언제 사용하지 않는가
- 명세서 전체(S1~S14) 점검:
kr-patent-consistency-check사용 - 청구항 자체 검토:
kr-patent-claim1-drafting또는 별도 청구항 점검 - 도면 부호 매핑:
kr-patent-symbol-design/kr-patent-drawing-mapping
입력·출력
| 항목 | 내용 |
|---|---|
| 입력 (필수) | 명세서 .docx (S13 섹션 포함) + 청구항 원문 |
| 입력 (옵션) | 논문 PDF/텍스트 (Method·Experiment 매핑 검증용) |
| 출력 | W 자가 점검 11항목별 ✅/⚠️/❌ 표 + 위반 단락 위치·원문·수정안 + 정합 점수 (100점 만점) |
W 자가 점검 12항목 — 핵심 검토 룰
각 항목은 자동 검출 가능한 것과 정독 필요한 것으로 구분.
1. S표 도입부 5단락 정형 사용 ★
검출 방법: S13 시작부 5단락이 S-1~S-5 정형 텍스트와 일치하는지 비교 (substring match)
| # | 시작 키워드 | 검증 |
|---|---|---|
| S-1 | "이하, 첨부된 도면을 참조하여 본 발명의 바람직한 실시예를 상세히 설명한다" | substring 매칭 |
| S-2 | "제1, 제2 등과 같이 서수를 포함하는 용어는" | substring 매칭 |
| S-3 | "어떤 구성요소가 다른 구성요소에 "연결되어" 있다거나" | substring 매칭 |
| S-4 | "단수의 표현은 문맥상 명백하게" | substring 매칭 |
| S-5 | "본 출원에서, "포함한다" 또는 "가지다"" | substring 매칭 |
위반 기준: 5개 중 누락 ≥ 1 → Priority A
2. 섹션 2 본 발명 개요 단락 ("본 발명은 ~") 존재
검출 방법: S13 도입부 직후에 "본 발명은 [핵심 목적]을 [기술적 수단]을 이용하여 ~ [발명명]에 관한 것이다." 정형 단락이 있는지
위반 기준: 본 발명 개요 단락 부재 → Priority A
3. 섹션 4 시스템 구성요소 절 "다음으로," 반복 사용
검출 방법: S13 안 시스템 구성요소 도입 단락에서 "다음으로," 도입어 카운트. 구성요소가 N개일 때 "다음으로," 등장 ≥ N-1 권장
위반 기준: 구성요소 ≥ 3개인데 "다음으로," 1회 이하 → Priority B
4. 종속항 모두 1:1 매핑
검출 방법: 청구항 2~N의 한정 시그니처가 S13 본문 어딘가에 1회 이상 등장 (kr-patent-consistency-check B-0과 동일)
위반 기준: 종속항 누락 ≥ 1 → Priority A (지원요건 흠결)
5. 도입어 빈도 D표 권장 범위 준수
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 365 lines · 564 tokens per session scan A a0228bdeaaa2
kr-patent-detail-description-review is a skill published in the GitHub repository lsj4232/KR_PATENT_SKILL (15 stars, last pushed 19d ago), licensed MIT. It adds 564 tokens to every session and 5,256 once invoked, about $0.0028 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 2026-08-30.
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