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.
Copia esta solicitud en tu Agente. Incluye la página canónica del Skill y el manifiesto.
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.Tu Agente debe seguir mostrando su plan y solicitar cualquier confirmación exigida por la política de seguridad.
Usa estos enlaces cuando un agente de IA, crawler o script necesite contexto limpio en vez de leer la página completa.
Usando "ai-listening". What should I expect from the first collection run?
Resultado esperado:
The first run builds comparison snapshots and mainly reports GitHub breakouts. Limited results do not establish that AI activity was low.
Usando "ai-listening". Can I run this without an AIsa key?
Resultado esperado:
Hugging Face, GitHub, and configured sitemaps remain available. X posts and name judging are unavailable and should be listed as coverage gaps.
Usando "ai-listening". Does a strong lead prove search demand?
Resultado esperado:
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.
Comparte el informe de evaluación versionado, la insignia neutral, la tarjeta insertable y las citas. Skillstore presenta evidencias sin decidir si este Skill es seguro.
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
zhuyansenLicencia
MIT
Revisión de Skillstore
r3
Aviso de versión
El autor no declaró una versión.
Ref.
2ec268972a6be25768f84279fde605b246c33d68
Actualidad del mantenimiento
28/10/2026
Uso
6 descargas · 0 vistas
Estructura de archivos
📄 SKILL.md
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