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.
Kopieren Sie diese Anfrage in Ihren Agent. Sie enthält die maßgebliche Skill-Seite und das Manifest.
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.Ihr Agent sollte weiterhin seinen Plan anzeigen und alle von der Sicherheitsrichtlinie verlangten Bestätigungen anfordern.
Verwenden Sie diese Links, wenn ein KI-Agent, Crawler oder Skript sauberen Kontext benötigt, statt die vollständige Seite zu lesen.
„ai-listening“ wird verwendet. What should I expect from the first collection run?
Erwartetes Ergebnis:
The first run builds comparison snapshots and mainly reports GitHub breakouts. Limited results do not establish that AI activity was low.
„ai-listening“ wird verwendet. Can I run this without an AIsa key?
Erwartetes Ergebnis:
Hugging Face, GitHub, and configured sitemaps remain available. X posts and name judging are unavailable and should be listed as coverage gaps.
„ai-listening“ wird verwendet. Does a strong lead prove search demand?
Erwartetes Ergebnis:
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.
Teile den versionierten Bewertungsbericht, das neutrale Badge, die Einbettungskarte und Zitate. Skillstore berichtet Nachweise, ohne zu entscheiden, ob dieser Skill sicher ist.
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.
Autor
zhuyansenLizenz
MIT
Skillstore-Revision
r3
Versionshinweis
Der Autor hat keine Version angegeben.
Ref.
2ec268972a6be25768f84279fde605b246c33d68
Aktualität der Wartung
28.10.2026
Nutzung
6 Downloads · 0 Aufrufe
Dateistruktur
📄 SKILL.md
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