Track New AI Names Across Daily Sources
New AI names appear across separate feeds, making daily discovery difficult. This skill guides new-term-radar collection and organizes deduplicated names with supporting evidence.
์ด ์์ฒญ์ ์์ด์ ํธ์ ๋ณต์ฌํ์ธ์. ๊ณต์ Skill ํ์ด์ง์ ๋งค๋ํ์คํธ๊ฐ ํฌํจ๋์ด ์์ต๋๋ค.
Review the Skillstore skill "ai-listening" from https://skillstore.io/skills/zhuyansen-ai-listening.md and its manifest at https://skillstore.io/api/skills/zhuyansen-ai-listening/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.์์ด์ ํธ๋ ๊ณ์ํด์ ๊ณํ์ ํ์ํ๊ณ ๋ณด์ ์ ์ฑ ์์ ์๊ตฌํ๋ ํ์ธ์ ์์ฒญํด์ผ ํฉ๋๋ค.
AI ์์ด์ ํธ, ํฌ๋กค๋ฌ, ์คํฌ๋ฆฝํธ๊ฐ ์ ์ฒด ํ์ด์ง ๋์ ์ ๋ฆฌ๋ ์ปจํ ์คํธ๋ง ํ์ํ ๋ ์ด ๋งํฌ๋ฅผ ์ฌ์ฉํ์ธ์.
"ai-listening" ์ฌ์ฉ ์ค์ ๋๋ค. What should I expect from the first collection run?
์์ ๊ฒฐ๊ณผ:
The first run builds comparison snapshots and mainly reports GitHub breakouts. Limited results do not establish that AI activity was low.
"ai-listening" ์ฌ์ฉ ์ค์ ๋๋ค. Can I run this without an AIsa key?
์์ ๊ฒฐ๊ณผ:
Hugging Face, GitHub, and configured sitemaps remain available. X posts and name judging are unavailable and should be listed as coverage gaps.
"ai-listening" ์ฌ์ฉ ์ค์ ๋๋ค. Does a strong lead prove search demand?
์์ ๊ฒฐ๊ณผ:
No. The report shows observed source signals. Search demand requires separate research.
All 24 static findings are false positives involving Markdown formatting, documented CLI usage, expected authentication checks, reference links, or report filtering. No evidence found of credential exfiltration, system reconnaissance, or prompt injection; the source explicitly rejects instructions embedded in collected data. This review covers SKILL.md only, not the external package implementation or its runtime network behavior.
๋ฒ์ ์ด ์ง์ ๋ ํ๊ฐ ๋ณด๊ณ ์, ์ค๋ฆฝ ๋ฐฐ์ง, ์๋ฒ ๋ ์นด๋ ๋ฐ ์ธ์ฉ์ ๊ณต์ ํ์ธ์. Skillstore๋ ๊ทผ๊ฑฐ๋ฅผ ๋ณด๊ณ ํ์ง๋ง ์ด Skill์ ์์ ์ฌ๋ถ๋ฅผ ํ๋จํ์ง ์์ต๋๋ค.
https://skillstore.io/skills/zhuyansen-ai-listening/audits/3?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/zhuyansen-ai-listening?utm_source=security_passport_badge)<a href="https://skillstore.io/skills/zhuyansen-ai-listening?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/zhuyansen-ai-listening/security.svg" alt="Skillstore security assessment" loading="lazy"></a><iframe src="https://skillstore.io/embed/skills/zhuyansen-ai-listening.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>zhuyansen. (2026). ai-listening security audit report (audit version 3) [Author version unspecified]. Skillstore. https://skillstore.io/skills/zhuyansen-ai-listening/audits/3@techreport{zhuyansen-zhuyansen-ai-listening-2026,
author = {zhuyansen},
title = {ai-listening security audit report (audit version 3)},
institution = {Skillstore},
year = {2026},
number = {3},
url = {https://skillstore.io/skills/zhuyansen-ai-listening/audits/3},
note = {Author version unspecified}
}cff-version: 1.2.0
message: "If you use this Skill, cite its author and this versioned security audit report."
title: "ai-listening security audit report (audit version 3)"
version: "unspecified"
type: report
authors:
- name: "zhuyansen"
date-released: "2026-10-28"
url: "https://skillstore.io/skills/zhuyansen-ai-listening/audits/3"
identifiers:
- type: other
value: "skillstore:zhuyansen-ai-listening:audit:3"
description: "Skillstore immutable audit report identifier"
Collect recently observed AI names with links and signal strength for editorial review.
Review new GitHub breakouts and compare them with other discovery signals before investigating a project.
Gather observed model and product names for a separate search-demand research workflow.
Prepare a daily AI listening report. Check setup and explain estimated costs before requesting approval to collect data.
List retained leads from the last day without a new collection run. Summarize available names and source evidence.
Use the sources workflow for X and Hugging Face. Explain costs and request approval first, then report new names and missing signals.
Review the latest listening report. Rank names by source overlap and name score, exclude known leads, and separate breakout repositories from coverage gaps.
์์ฑ์
zhuyansen๋ผ์ด์ ์ค
MIT
Skillstore ๋ฆฌ๋น์
r3
๋ฒ์ ์๋ด
์์ฑ์๊ฐ ๋ฒ์ ์ ์ ์ธํ์ง ์์์ต๋๋ค.
๋ฆฌํฌ์งํ ๋ฆฌ
https://github.com/zhuyansen/new-term-radar/tree/3cf6515c4076cb2800819473062d9b36d563d0fe/skills/ai-listening์ฐธ์กฐ
2ec268972a6be25768f84279fde605b246c33d68
์ ์ง๋ณด์ ์ต์ ์ฑ
2026. 10. 28.
์ฌ์ฉ๋
7 ๋ค์ด๋ก๋ ยท 0 ์กฐํ
ํ์ผ ๊ตฌ์กฐ
๐ SKILL.md
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.
Find Emerging AI Keywords Worth Researching
New AI launches create search opportunities that are difficult to compare across sources. This skill uses a research CLI to turn discovery signals into keyword priorities.
Evaluate Backlink Sources and Verify Existing Links
Backlink opportunities can waste time or create link spam risks when quality signals are unclear. This skill guides evidence-based source checks, link verification, and profile reviews through backlink-guard.
Compare Competitor Traffic and SEO
Competitor traffic data can be difficult to compare across sources. This skill gathers paid traffic and SEO estimates into a comparison and identifies growth opportunities.
Search the Web with XCrawl
์์ฑ์ xcrawl-api
Web research needs explicit queries and consistent search settings. This skill guides XCrawl search requests with location, language, and result limits, then returns upstream responses.
Nature ์คํ์ผ ๋๋ฃ ์ฌ์ฌ ์๋ฎฌ๋ ์ด์
์์ฑ์ Yuan1z0825
์๊ณ ์ ์๋ ํฌ๊ณ ์ ์ ์ฌ์ฌ์์ ์ด์ ์ ๊ธฐ๋ฅผ ๋์น๋ ๊ฒฝ์ฐ๊ฐ ๋ง์ต๋๋ค. ์ด ์คํฌ์ ์ธ ๊ฐ์ ๋ณด๊ณ ์์ ์ข ํฉ ํ๊ฐ๋ก ๊ตฌ์ฑ๋ ์ ํ๋ Nature ์คํ์ผ ํ๊ฐ๋ฅผ ์ ๊ณตํฉ๋๋ค.
์ธ์ฉ๊ณผ ํจ๊ป ๋ณต์กํ ์ฃผ์ ์กฐ์ฌํ๊ธฐ
์์ฑ์ shubhamsaboo
์ถ์ฒ๋ค์ด ์๋ก ์์ถฉํ๊ฑฐ๋ ๋งฅ๋ฝ์ด ๋ถ์กฑํ๋ฉด ์ฌ์ธต ์กฐ์ฌ๋ ์ด๋ ต์ต๋๋ค. ์ด ์คํฌ์ Claude, Codex, Claude Code๊ฐ ์ถ์ฒ๋ฅผ ์ข ํฉํ๊ณ , ๊ด์ ์ ๋น๊ตํ๋ฉฐ, ์ธ์ฉ์ด ํฌํจ๋ ์ฐ๊ตฌ ์์ฝ์ ์์ฑํ๋๋ก ์๋ดํฉ๋๋ค.
Create Ranked AI News Briefings
์์ฑ์ me-news
Tracking important AI news across the day takes repeated filtering and organization. This skill builds structured Chinese briefings from configured AIMPACT and ME News feeds.
๊ตฌ์กฐํ๋ ์คํ์ดํฌ๋ก ๊ธฐ์ ์ต์ ํ๊ฐ
์์ฑ์ 89jobrien
๊ธฐ์ ์ ์์ฌ๊ฒฐ์ ์๋ ์๊ฒฌ์ด ์๋๋ผ ์ฆ๊ฑฐ๊ฐ ํ์ํ ๊ฒฝ์ฐ๊ฐ ๋ง์ต๋๋ค. ์ด ์คํฌ์ ์ต์ , ๊ฐ๋ ์ฆ๋ช ๊ฒฐ๊ณผ, ๋น๊ต ๋งคํธ๋ฆญ์ค, ์ํ, ๊ถ์ฅ ์ฌํญ์ ํฌํจํ ์๊ฐ ์ ํ ์คํ์ดํฌ๋ฅผ ์๋ดํฉ๋๋ค.
Tavily๋ก ์น ๊ฒ์ํ๊ธฐ
์์ฑ์ CK991357
AI ์ด์์คํดํธ๋ ๋ด์ค, ๊ฐ๊ฒฉ, ๋ฆด๋ฆฌ์ค, ๋น ๋ฅด๊ฒ ๋ณํ๋ ์ฃผ์ ์ ๋ํ ์ต์ ์ ๋ณด๊ฐ ๋ถ์กฑํ ๊ฒฝ์ฐ๊ฐ ๋ง์ต๋๋ค. ์ด ์คํฌ์ Claude, Codex, Claude Code๊ฐ ๋ช ํํ ์ฟผ๋ฆฌ ๋งค๊ฐ๋ณ์๋ก Tavily Search๋ฅผ ํธ์ถํ๋๋ก ์๋ดํฉ๋๋ค.