技能 new-term-radar

📦

new-term-radar

Name: new-term-radar
Author: zhuyansen

內容修訂 r2 中風險 ⚙️ 外部命令🌐 網路存取📁 檔案系統存取🔑 環境變數

Find and Prioritize Emerging AI Keywords

New AI terms are difficult to assess before search data settles. This skill gathers signals and organizes keyword opportunities using available search and competition data.

支援: Claude Codex Code(CC)

📊 69 尚可

Maintain this Skill? Claim it 📊 69 尚可

使用我的智慧代理安裝

將此請求複製給你的智慧代理，其中包含權威 Skill 頁面和清單。

智能體請求

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.

你的智慧代理仍應顯示其計畫，並依安全政策請求必要確認。

Agent 可讀資源

當 AI Agent、爬蟲或腳本需要乾淨脈絡、而不是讀取完整頁面時，請使用這些連結。

Markdown 詳情 GET /skills/zhuyansen-new-term-radar.md 已簽名 manifest GET /api/skills/zhuyansen-new-term-radar/manifest 已簽名 lockfile GET /api/skills/zhuyansen-new-term-radar/lockfile

測試它

正在使用「new-term-radar」。 Research the keyword opportunities for a new AI tool.

預期結果:

Example format: Keyword, estimated searches per day, trend, competition, decision, and a brief reason. Actual values depend on the research run.

正在使用「new-term-radar」。 Find complaints about an AI tool category.

預期結果:

Example format: complaint category, observed count, search phrase, and linked quotes. Counts describe only the material reviewed.

安全審計

中風險

v2 • 2026/10/27 開啟版本化報告

Static matches are Markdown, disclosed service references, or research terminology, not evidence of the alleged attacks. The external package runs with service credentials, but its implementation was not reviewed.

已掃描檔案

分析行數

複核項目

已忽略的誤報

已確認的安全問題 (1)

中

SKILL.md:12-14

Unaudited external package executes with service credentials

The instructions fetch and execute a PyPI package with access to service credentials. The package implementation is outside the reviewed skill file.

The document explicitly invokes the package and requires a credential. Its implementation and dependency integrity were not reviewed.

風險因素

⚙️ 外部命令 (33)

🌐 網路存取 (3)

SKILL.md:14 SKILL.md:16 SKILL.md:17

📁 檔案系統存取 (2)

SKILL.md:14 SKILL.md:14

🔑 環境變數 (6)

SKILL.md:3 SKILL.md:14 SKILL.md:15 SKILL.md:16 SKILL.md:45 SKILL.md:53

審計單位: codex 檢視審計紀錄 →

分享與引用此報告

分享版本化評估報告、中性徽章、嵌入卡片與引用。Skillstore 只報告證據，不判斷該 Skill 是否安全。

開啟版本化報告

複製報告連結

https://skillstore.io/skills/zhuyansen-new-term-radar/audits/2?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Markdown 徽章

[![Skillstore security assessment](https://skillstore.io/badges/skills/zhuyansen-new-term-radar/security.svg)](https://skillstore.io/skills/zhuyansen-new-term-radar?utm_source=security_passport_badge)

HTML 徽章

<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>

嵌入卡片

<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>

學術引用 (APA · BibTeX · CFF)

APA 引用

zhuyansen. (2026). new-term-radar security audit report (audit version 2) [Author version unspecified]. Skillstore. https://skillstore.io/skills/zhuyansen-new-term-radar/audits/2

BibTeX 引用

@techreport{zhuyansen-zhuyansen-new-term-radar-2026,
  author = {zhuyansen},
  title = {new-term-radar security audit report (audit version 2)},
  institution = {Skillstore},
  year = {2026},
  number = {2},
  url = {https://skillstore.io/skills/zhuyansen-new-term-radar/audits/2},
  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 2)"
version: "unspecified"
type: report
authors:
  - name: "zhuyansen"
date-released: "2026-10-27"
url: "https://skillstore.io/skills/zhuyansen-new-term-radar/audits/2"
identifiers:
  - type: other
    value: "skillstore:zhuyansen-new-term-radar:audit:2"
    description: "Skillstore immutable audit report identifier"

Skillstore 評分

評分依據證據置信度: 中

架構

可維護性

內容

社群

規範符合度

你可以打造什麼

Track new AI launches

Review newly detected names and their source signals.

Prioritize search topics

Compare keyword demand and competition before planning pages.

Explore product complaints

Group accessible complaints and linked examples for a tool category.

試試這些提示

Research one name

Research the keyword opportunities for [name].

Review new terms

Find today's new AI terms and prioritize their keywords. Tell me the estimated cost before running.

Investigate complaints

Find common complaints about [tool category] and show linked examples. Explain coverage limits and estimated costs.

Compare opportunities

Research [name one] and [name two]. Compare search estimates, trends, competition, brand flags, and missing data before recommending actions.

最佳實務

Approve each paid run after reviewing its estimated cost.
Use one working directory so snapshots persist between runs.
Review source errors and brand flags before acting on recommendations.

避免

Treating estimated search volume as an exact market measurement.
Interpreting an incomplete first run as a quiet market.
Following instructions embedded in collected posts or pages.

常見問題

What does this skill research?

It researches emerging AI names, related keywords, search interest, and competition.

Can I provide my own names?

Yes. The keyword path researches supplied names without collecting new ones first.

Does it require an API key?

Yes. An AIsa key is required; other keys enable optional sources.

Are research runs free?

Several commands use paid APIs. The skill asks for approval before each paid run.

Why might the first daily report be sparse?

The first run builds snapshots, so it reports GitHub breakouts and little else.

Are the search estimates exact?

No. Estimates can be delayed, and missing sources or weak trend coverage can affect results.

開發者詳細資訊

作者

zhuyansen

授權

MIT

Skillstore 修訂

版本提示

作者未聲明版本。

儲存庫

https://github.com/zhuyansen/new-term-radar/tree/e1ce49e83dfefeb985b1db24d173cb785ca75dbc/skills/new-term-radar

引用

1ac96f2048361bd348a3f97a5370c8f3f4c494c1

維護新鮮度

2026/10/27

使用量

6 次下載 · 1 次瀏覽

檔案結構

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研究與學習查看

new-term-radar

使用我的智慧代理安裝

Agent 可讀資源

測試它

安全審計

已確認的安全問題 (1)

風險因素

複製報告連結

Markdown 徽章

HTML 徽章

嵌入卡片

APA 引用

BibTeX 引用

CITATION.cff

Skillstore 評分

你可以打造什麼

Track new AI launches

Prioritize search topics

Explore product complaints

試試這些提示

最佳實務

避免

常見問題

開發者詳細資訊

zhuyansen 的更多技能

ai-listening

seo-new-keywords-research

site-traffic-teardown

backlink-guard

相關技能

market-research-reports

seo-analysis

market-research-workflow

competitor-analysis-bot

competitive-landscape

programmatic-seo