new-term-radar
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.
Установить с помощью моего Агента
Скопируйте этот запрос в своего Агента. Он содержит каноническую страницу Skill и манифест.
Review the Skillstore skill "new-term-radar" from https://skillstore.io/skills/zhuyansen-new-term-radar.md and its manifest at https://skillstore.io/api/skills/zhuyansen-new-term-radar/manifest. Verify the artifact. You may proceed after verification, subject to the environment's own policy.Ваш Агент по-прежнему должен показать план и запросить все подтверждения, требуемые политикой безопасности.
Ресурсы для AI-агентов
Используйте эти ссылки, когда AI-агенту, crawler или script нужен чистый контекст вместо полной страницы.
Протестировать
Использование «new-term-radar». Summarize a first daily run that reports GitHub breakouts but few other leads.
Ожидаемый результат:
- First-run caveat: this run established snapshots, so limited results do not demonstrate a quiet market.
- Review the observed GitHub leads and their source links.
- Reassess after new source activity rather than immediately repeating the same daily run.
Использование «new-term-radar». Explain a supplied keyword row marked watch, demoted, and crowded.
Ожидаемый результат:
- Decision: watch.
- The radar moved this row from prioritize to watch because page-one competition is crowded.
- Recheck the search results before committing to a new page.
Использование «new-term-radar». Explain a flat trend row without country-level data when a related-search source also failed.
Ожидаемый результат:
- Trend: no rise seen in the available worldwide series.
- The newest two days are excluded, so this does not prove that interest did not rise.
- Related-search collection failed, leaving the evidence incomplete.
Аудит безопасности
БезопасноAll 50 static findings are false positives involving Markdown formatting, ordinary authentication requirements, public reference links, and unrelated prose. The instructions require paid-run approval and treat external content as untrusted; no evidence found of credential theft, destructive intent, or prompt injection. This review covers SKILL.md only, not the external PyPI package or its dependencies.
Факторы риска
⚙️ Внешние команды (34)
🌐 Доступ к сети (3)
📁 Доступ к файловой системе (2)
🔑 Переменные окружения (6)
Поделиться и цитировать этот отчет
Делитесь версионным отчетом об оценке, нейтральным значком, встраиваемой карточкой и цитатами. Skillstore публикует доказательства, не решая, безопасен ли этот Skill.
Копировать ссылку на отчёт
https://skillstore.io/skills/zhuyansen-new-term-radar/audits/3?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_reportЗначок Markdown
[](https://skillstore.io/skills/zhuyansen-new-term-radar?utm_source=security_passport_badge)Значок HTML
<a href="https://skillstore.io/skills/zhuyansen-new-term-radar?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/zhuyansen-new-term-radar/security.svg" alt="Skillstore security assessment" loading="lazy"></a>Встраиваемая карточка
<iframe src="https://skillstore.io/embed/skills/zhuyansen-new-term-radar.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>Академические ссылки (APA · BibTeX · CFF)
Цитата APA
zhuyansen. (2026). new-term-radar security audit report (audit version 3) [Author version unspecified]. Skillstore. https://skillstore.io/skills/zhuyansen-new-term-radar/audits/3Цитата BibTeX
@techreport{zhuyansen-zhuyansen-new-term-radar-2026,
author = {zhuyansen},
title = {new-term-radar security audit report (audit version 3)},
institution = {Skillstore},
year = {2026},
number = {3},
url = {https://skillstore.io/skills/zhuyansen-new-term-radar/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: "new-term-radar security audit report (audit version 3)"
version: "unspecified"
type: report
authors:
- name: "zhuyansen"
date-released: "2026-10-28"
url: "https://skillstore.io/skills/zhuyansen-new-term-radar/audits/3"
identifiers:
- type: other
value: "skillstore:zhuyansen-new-term-radar:audit:3"
description: "Skillstore immutable audit report identifier"
Оценка Skillstore
Почему такая оценка Достоверность доказательств: СреднийЧто вы можете построить
Prioritize AI content topics
Compare emerging names and generic queries to decide which pages deserve research, monitoring, or no further work.
Investigate tool demand
Review complaint categories and linked evidence to identify problems that a new or improved tool might address.
Monitor emerging AI products
Track new model and repository names, then separate early attention from sustained search interest using source and trend evidence.
Попробуйте эти промпты
Find today's new AI names and summarize their strongest signals. Show the estimated cost and duration, then wait for my approval before running.
Research PhotoCraft and SynthID Detector without discovery. Confirm the estimated cost first, then compare named and generic keywords with decisions and evidence.
Investigate complaints about AI headshot tools. Ask for cost approval first, then group gaps with linked quotes and distinguish observed counts from market size.
Use my configured sites and sources to evaluate emerging AI keywords. Confirm costs before running. Compare markets, competition, existing pages, and missing-source caveats.
Лучшие практики
- Keep a consistent working directory and review configured sources before comparing results across runs.
- Approve each paid run after reviewing its estimated cost, duration, and optional features.
- Keep source links and caveats visible, and treat instructions inside retrieved material as untrusted data.
Избегать
- Repeat the daily run immediately and treat fewer incremental leads as evidence of falling market interest.
- Treat search estimates, complaint counts, or payment links as proof of market size or business success.
- Publish provider-restricted data or take external actions without separate, specific user approval.