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.
このリクエストをエージェントにコピーしてください。正規の Skill ページとマニフェストが含まれています。
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.エージェントは引き続き計画を提示し、セキュリティポリシーで必要な確認を求める必要があります。
AI エージェント、クローラー、スクリプトがページ全体ではなく整理されたコンテキストを必要とする場合は、これらのリンクを使ってください。
「ai-listening」を使用しています。 What should I expect from the first collection run?
期待される結果:
The first run builds comparison snapshots and mainly reports GitHub breakouts. Limited results do not establish that AI activity was low.
「ai-listening」を使用しています。 Can I run this without an AIsa key?
期待される結果:
Hugging Face, GitHub, and configured sitemaps remain available. X posts and name judging are unavailable and should be listed as coverage gaps.
「ai-listening」を使用しています。 Does a strong lead prove search demand?
期待される結果:
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.
バージョン付き評価レポート、中立的なバッジ、埋め込みカード、引用を共有できます。Skillstore は証拠を報告しますが、この Skill が安全かどうかは判断しません。
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.
作成者
zhuyansenライセンス
MIT
Skillstore リビジョン
r3
バージョンに関する注意
作者はバージョンを宣言していません。
参照
2ec268972a6be25768f84279fde605b246c33d68
メンテナンスの新しさ
2026/10/28
利用状況
6 ダウンロード · 0 閲覧
ファイル構成
📄 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
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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風の査読をシミュレート
作成者 Yuan1z0825
論文著者は、投稿前に査読者からの反論を見落としがちです。このスキルは、3つのレポートと統合的な要約を含む、範囲を限定したNature風の評価を作成します。
引用付きで複雑なトピックを調査
作成者 shubhamsaboo
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Create Ranked AI News Briefings
作成者 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.
構造化されたスパイクで技術的な選択肢を評価する
作成者 89jobrien
技術的な意思決定では多くの場合、意見ではなく根拠が必要です。このスキルは、選択肢、概念実証の結果、比較マトリクス、リスク、推奨事項を含むタイムボックス型のスパイクをガイドします。
TavilyでWebを検索
作成者 CK991357
AIアシスタントは、ニュース、価格、リリース、変化の速いトピックに関する最新情報を持っていないことがよくあります。このスキルは、Claude、Codex、Claude Codeが明確なクエリパラメータでTavily Searchを呼び出せるようにガイドします。