Track A-Share News Attention with Lava
Stock researchers need consistent measures of news attention across companies and market themes. This skill guides authenticated Lava queries and summarizes mentions, source coverage, rankings, and historical trends.
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。
Review the Skillstore skill "lava-news-heat" from https://skillstore.io/skills/dustinliang666-blip-lava-news-heat.md and its manifest at https://skillstore.io/api/skills/dustinliang666-blip-lava-news-heat/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。
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。
正在使用「lava-news-heat」。 Show a sample seven-day company attention summary.
預期結果:
正在使用「lava-news-heat」。 Show a sample concept ranking summary.
預期結果:
All 31 static alerts are false positives involving documented URLs, Markdown formatting, public discovery metadata, source identifiers, or readable Chinese text. No evidence found of prompt injection, credential exfiltration, executable payloads, or local system reconnaissance. The remote service implementation was not supplied, so its behavior and data handling remain unverified.
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。
https://skillstore.io/skills/dustinliang666-blip-lava-news-heat/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report[](https://skillstore.io/skills/dustinliang666-blip-lava-news-heat?utm_source=security_passport_badge)<a href="https://skillstore.io/skills/dustinliang666-blip-lava-news-heat?utm_source=security_passport_badge"><img src="https://skillstore.io/badges/skills/dustinliang666-blip-lava-news-heat/security.svg" alt="Skillstore security assessment" loading="lazy"></a><iframe src="https://skillstore.io/embed/skills/dustinliang666-blip-lava-news-heat.html" title="Skillstore Security Assessment" sandbox="allow-popups allow-popups-to-escape-sandbox" loading="lazy" referrerpolicy="no-referrer" width="420" height="180"></iframe>dustinliang666-blip. (2026). lava-news-heat security audit report (audit version 1) [Author version unspecified]. Skillstore. https://skillstore.io/skills/dustinliang666-blip-lava-news-heat/audits/1@techreport{dustinliang666-blip-dustinliang666-blip-lava-news-heat-2026,
author = {dustinliang666-blip},
title = {lava-news-heat security audit report (audit version 1)},
institution = {Skillstore},
year = {2026},
number = {1},
url = {https://skillstore.io/skills/dustinliang666-blip-lava-news-heat/audits/1},
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: "lava-news-heat security audit report (audit version 1)"
version: "unspecified"
type: report
authors:
- name: "dustinliang666-blip"
date-released: "2026-10-28"
url: "https://skillstore.io/skills/dustinliang666-blip-lava-news-heat/audits/1"
identifiers:
- type: other
value: "skillstore:dustinliang666-blip-lava-news-heat:audit:1"
description: "Skillstore immutable audit report identifier"
Summarize a company over seven days using mention counts, source participation, related concepts, and returned viewpoints.
Compare concept rankings, newly mentioned stocks, and attention acceleration to prioritize daily research.
Request daily heat panels and coverage counts to study attention changes alongside other research data.
Check news attention for [stock name] over seven days. Report mentions, source count, time window, and three returned viewpoints.
Rank the five most-mentioned stocks in [concept] over seven days. Report mention counts and summarize available structured viewpoints without inventing missing data.
Compare market heat and acceleration rankings over 24 hours with newly mentioned stocks. Identify overlaps and report returned attention metrics and source identifiers.
For [stock], request a 90-day heat panel, 30-day coverage counts, and available point-in-time source scores. Separate observations from hypotheses and report gaps.
授權
MIT
Skillstore 修訂
r1
版本提示
作者未聲明版本。
引用
4699d5d8d8b53ee8ddbe0a18430bcdf40abcc835
維護新鮮度
2026/10/28
使用量
0 次下載 · 0 次瀏覽
檔案結構
Compare Live Hotel Prices Across Four Sources
由 price-win
Comparing hotel prices across several booking sites is slow and inconsistent. This skill searches live sources and presents the cheapest dated options in one view.
Find Local AI Models for Your Hardware
由 localaipicks
Choosing an open-weight model can be difficult when hardware memory is limited. Local AI Picks helps compare model weights, memory needs, and sources for your device.
探索公開網站的 Sitemap
由 0nl1n1n
若要找出網站上的所有公開頁面，可能需要檢查多個 Sitemap 來源。SitemapKit 可透過 MCP 工具探索 Sitemap 檔案並擷取其中的 URL。
Plan McDonald's Meals by Nutrition and Budget
由 hessianz
Choosing meals within nutrition and budget limits requires checking menus, serving sizes, and discounts. Chilemai combines current MCP data with local meal planning and confirmed ordering.
Draft and Schedule Social Posts with TimeToPost
由 melmayssonowen
Managing platform-specific posts requires consistent wording, account selection, and approval. This skill guides TimeToPost MCP drafting, timing recommendations, and scheduling after explicit user approval.
Practice Notes and Transpose Chords with Clef
由 melmayssonowen
Music learners need focused help with note reading, chord symbols, and guitar tab. This skill combines guided drills, Clef MCP tools, and offline chord transposition.