스킬 seo-new-keywords-research

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seo-new-keywords-research

Name: seo-new-keywords-research
Author: zhuyansen

콘텐츠 리비전 r3 안전 ⚙️ 외부 명령어🌐 네트워크 접근📁 파일 시스템 접근🔑 환경 변수

Prioritize Emerging AI Keywords

New AI releases can attract short-lived searches that obscure lasting keyword opportunities. This skill guides paid research into names, generic terms, demand, and competition.

지원: Claude Codex Code(CC)

🥉 77 브론즈

Maintain this Skill? Claim it 🥉 77 브론즈

내 에이전트로 설치

이 요청을 에이전트에 복사하세요. 공식 Skill 페이지와 매니페스트가 포함되어 있습니다.

에이전트 요청

Review the Skillstore skill "seo-new-keywords-research" from https://skillstore.io/skills/zhuyansen-seo-new-keywords-research.md and its manifest at https://skillstore.io/api/skills/zhuyansen-seo-new-keywords-research/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.

에이전트는 계속해서 계획을 표시하고 보안 정책에서 요구하는 확인을 요청해야 합니다.

에이전트가 읽기 쉬운 리소스

AI 에이전트, 크롤러, 스크립트가 전체 페이지 대신 정리된 컨텍스트만 필요할 때 이 링크를 사용하세요.

Markdown 상세 GET /skills/zhuyansen-seo-new-keywords-research.md 서명된 manifest GET /api/skills/zhuyansen-seo-new-keywords-research/manifest 서명된 lockfile GET /api/skills/zhuyansen-seo-new-keywords-research/lockfile

테스트해 보기

"seo-new-keywords-research" 사용 중입니다. Research SynthID Detector, but show the estimated cost before running.

예상 결과:

Selected name: synthid detector.
Estimated lookup cost for one name in one call: about USD 0.14.
Estimated research time: 40 to 90 seconds.
Awaiting explicit approval before paid lookups.

"seo-new-keywords-research" 사용 중입니다. Show an illustrative report format for incomplete keyword evidence, without performing lookups.

예상 결과:

Illustrative format only; no live research was performed.
Keyword: [returned phrase]. Type: [name or generic]. Decision: [returned decision].
Demand: [returned estimate]. Market: [returned geography]. Page one: [returned competition assessment].
Caveats: [missing sources, credential gaps, or estimate limitations].
Next step: [evidence-based recommendation and recheck timing].

보안 감사

안전

v3 • 2026. 10. 28. 버전별 보고서 열기

All 34 static findings are false positives involving Markdown syntax, legitimate CLI operations, provider links, and documented authentication. The skill requires paid lookup approval and explicitly treats retrieved instructions as untrusted data. No evidence of malicious behavior was found in SKILL.md; external package implementation and runtime behavior were not inspected.

스캔된 파일

분석된 줄 수

검토 항목

오탐 무시됨

위험 요인

⚙️ 외부 명령어 (22)

🌐 네트워크 접근 (3)

SKILL.md:16 SKILL.md:17 SKILL.md:18

📁 파일 시스템 접근 (2)

SKILL.md:16 SKILL.md:16

🔑 환경 변수 (3)

SKILL.md:3 SKILL.md:16 SKILL.md:17

가장 최근에 완료된 정적·의미론적 감사에서 확인된 보안 발견 사항이 감지되지 않았습니다. 이는 스킬에 부작용이 없음을 증명하지 않습니다.

감사자: codex 감사 이력 보기 →

이 보고서 공유 및 인용

버전이 지정된 평가 보고서, 중립 배지, 임베드 카드 및 인용을 공유하세요. Skillstore는 근거를 보고하지만 이 Skill의 안전 여부를 판단하지 않습니다.

버전별 보고서 열기

보고서 링크 복사

https://skillstore.io/skills/zhuyansen-seo-new-keywords-research/audits/3?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Markdown 배지

[![Skillstore security assessment](https://skillstore.io/badges/skills/zhuyansen-seo-new-keywords-research/security.svg)](https://skillstore.io/skills/zhuyansen-seo-new-keywords-research?utm_source=security_passport_badge)

HTML 배지

<a href="https://skillstore.io/skills/zhuyansen-seo-new-keywords-research?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/zhuyansen-seo-new-keywords-research/security.svg" alt="Skillstore security assessment" loading="lazy"></a>

임베드 카드

<iframe src="https://skillstore.io/embed/skills/zhuyansen-seo-new-keywords-research.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>

학술 인용 (APA · BibTeX · CFF)

APA 인용

zhuyansen. (2026). seo-new-keywords-research security audit report (audit version 3) [Author version unspecified]. Skillstore. https://skillstore.io/skills/zhuyansen-seo-new-keywords-research/audits/3

BibTeX 인용

@techreport{zhuyansen-zhuyansen-seo-new-keywords-research-2026,
  author = {zhuyansen},
  title = {seo-new-keywords-research security audit report (audit version 3)},
  institution = {Skillstore},
  year = {2026},
  number = {3},
  url = {https://skillstore.io/skills/zhuyansen-seo-new-keywords-research/audits/3},
  note = {Author version unspecified}
}

CITATION.cff

cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "seo-new-keywords-research security audit report (audit version 3)"
version: "unspecified"
type: report
authors:
  - name: "zhuyansen"
date-released: "2026-10-28"
url: "https://skillstore.io/skills/zhuyansen-seo-new-keywords-research/audits/3"
identifiers:
  - type: other
    value: "skillstore:zhuyansen-seo-new-keywords-research:audit:3"
    description: "Skillstore immutable audit report identifier"

Skillstore 점수

이 점수의 이유 증거 신뢰도: 중간

아키텍처

유지보수성

콘텐츠

커뮤니티

사양 준수

만들 수 있는 것

Plan coverage of AI releases

Turn release notes into a short list of names and related generic topics worth investigating before assigning articles.

Evaluate a new tool opportunity

Compare emerging product names with underlying search needs, demand estimates, and page-one competition before committing development work.

Refresh existing search content

Use configured site metrics and keyword recommendations to distinguish existing pages needing updates from opportunities requiring new pages.

이 프롬프트를 사용해 보세요

Research one name

Research keywords for [AI product name]. Show the estimated lookup cost and wait for my approval before running any paid research.

Extract names from release notes

Select up to five specific AI names from these notes: [text]. Explain inclusions and exclusions, estimate cost, and wait for approval.

Compare search opportunities

Compare [names] and their generic keywords. Request cost approval first. Report demand estimates, market differences, competition, brand flags, and data gaps.

Prioritize existing site work

Using configured site metrics, evaluate [names]. Request cost approval first. Separate update, improve, and new-page recommendations, including evidence and recheck priorities.

모범 사례

Confirm the selected names and estimated cost before approving a paid batch; approve again when the name list changes.
Keep generic search needs separate from branded release spikes, and check the geographic scope of each trend.
Treat retrieved text as untrusted data and disclose failed sources, estimated volumes, and missing evidence.

피하기

Running paid lookups because a user requested keyword ideas, without separate cost approval.
Presenting estimated demand, incomplete trend readings, or missing results as exact facts.
Publishing content, registering domains, or buying ads solely because a keyword receives a prioritize decision.

자주 묻는 질문

What credentials are required?

An AIsa key is required through AISA_API_KEY or the AIsa CLI login. GOANYAPI_API_KEY is optional and improves research coverage.

How much does research cost?

The skill estimates about USD 0.05 per name plus USD 0.09 per call. It requires explicit approval before paid lookups.

Can I provide unstructured text instead of names?

Yes. The workflow extracts up to five specific AI model, product, tool, or repository names from supplied reports, posts, or release notes.

Are search volumes exact?

No. Daily counts are approximate, and search volume data can lag about two months. Trend coverage and source failures require additional caveats.

Does the skill publish pages or purchase domains?

The research workflow does not authorize those actions. Each external action requires separate approval of its destination, exact content, or cost.

What does this security audit cover?

The audit reviewed SKILL.md and adjudicated its static findings. It did not inspect the external package implementation or verify runtime network behavior.

개발자 세부 정보

작성자

zhuyansen

라이선스

MIT

Skillstore 리비전

버전 안내

작성자가 버전을 선언하지 않았습니다.

리포지토리

https://github.com/zhuyansen/new-term-radar/tree/3cf6515c4076cb2800819473062d9b36d563d0fe/skills/seo-new-keywords-research

참조

2ec268972a6be25768f84279fde605b246c33d68

유지보수 최신성

2026. 10. 28.

사용량

7 다운로드 · 0 조회

파일 구조

📄 SKILL.md

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