📦

lava-news-heat

Name: lava-news-heat
Author: dustinliang666-blip

Révision du contenu r1 Sûr 🌐 Accès réseau📁 Accès au système de fichiers⚙️ Commandes externes

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.

Prend en charge: Claude Codex Code(CC)

🥉 77 Bronze

Maintain this Skill? Claim it 🥉 77 Bronze

Installer avec mon Agent

Copiez cette demande dans votre Agent. Elle contient la page Skill de référence et le manifeste.

Demande d’agent

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.

Votre Agent doit toujours présenter son plan et demander toute confirmation exigée par la politique de sécurité.

Ressources lisibles par les agents

Utilisez ces liens lorsqu’un Agent IA, un crawler ou un script a besoin d’un contexte propre au lieu de lire toute la page.

Détail Markdown GET /skills/dustinliang666-blip-lava-news-heat.md manifest signé GET /api/skills/dustinliang666-blip-lava-news-heat/manifest lockfile signé GET /api/skills/dustinliang666-blip-lava-news-heat/lockfile

Tester

Utilisation de « lava-news-heat ». Show a sample seven-day company attention summary.

Résultat attendu:

Illustrative format only; no live query was performed.
Window: seven days. Mentions: 42. Participating sources: 8.
Structured viewpoints concern demand, capacity expansion, and input costs.
Sources use returned agency_id values. Attention does not establish investment merit.

Utilisation de « lava-news-heat ». Show a sample concept ranking summary.

Résultat attendu:

Illustrative format only; company labels and counts are fictional.
Window: seven days. Company A: 28 mentions. Company B: 19 mentions. Company C: 11 mentions.
Company A leads this example by mention count, not expected return.
News-hit records provide media and publication metadata, not article titles or full text.

Audit de sécurité

Sûr

v1 • 28/10/2026 Ouvrir le rapport versionné

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.

Fichiers analysés

218

Lignes analysées

Éléments à examiner

Faux positifs ignorés

Facteurs de risque

🌐 Accès réseau (12)

glama.json:1 server.json:2 server.json:7 server.json:9 server.json:15 server.json:19 SKILL.md:10 SKILL.md:13 SKILL.md:17 SKILL.md:22 SKILL.md:52 SKILL.md:53

📁 Accès au système de fichiers (1)

README.md:41

⚙️ Commandes externes (14)

SKILL.md:10 SKILL.md:13 SKILL.md:14 SKILL.md:22 SKILL.md:27 SKILL.md:28 SKILL.md:29 SKILL.md:30 SKILL.md:31 SKILL.md:32 SKILL.md:33 SKILL.md:34 SKILL.md:35-39 SKILL.md:39

Le dernier audit statique et sémantique terminé n’a détecté aucun constat de sécurité confirmé. Cela ne prouve pas que le skill est sans effets secondaires.

Audité par: codex

Partager et citer ce rapport

Partagez le rapport d’évaluation versionné, le badge neutre, la carte intégrable et les citations. Skillstore présente les preuves sans décider si ce Skill est sûr.

Ouvrir le rapport versionné

Copier le lien du rapport

https://skillstore.io/skills/dustinliang666-blip-lava-news-heat/audits/1?utm_source=security_passport&utm_medium=share&utm_campaign=versioned_report

Badge Markdown

[![Skillstore security assessment](https://skillstore.io/badges/skills/dustinliang666-blip-lava-news-heat/security.svg)](https://skillstore.io/skills/dustinliang666-blip-lava-news-heat?utm_source=security_passport_badge)

Badge HTML

<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>

Carte intégrable

<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>

Citations académiques (APA · BibTeX · CFF)

Citation APA

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

Citation BibTeX

@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}
}

CITATION.cff

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"

Score Skillstore

Pourquoi ce score Niveau de confiance des preuves: Moyen

Architecture

Maintenabilité

Contenu

Communauté

Conformité aux spécifications

Ce que vous pouvez créer

Review Company Attention

Summarize a company over seven days using mention counts, source participation, related concepts, and returned viewpoints.

Monitor Market Themes

Compare concept rankings, newly mentioned stocks, and attention acceleration to prioritize daily research.

Explore Historical Attention

Request daily heat panels and coverage counts to study attention changes alongside other research data.

Essayez ces prompts

Check One Stock

Check news attention for [stock name] over seven days. Report mentions, source count, time window, and three returned viewpoints.

Explore a Concept

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 Signals

Compare market heat and acceleration rankings over 24 hours with newly mentioned stocks. Identify overlaps and report returned attention metrics and source identifiers.

Study Attention History

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.

Bonnes pratiques

Configure the provider credential through the MCP client secret settings and confirm current request charges before broad queries.
Specify stock identifiers and time windows, then ground each summary in returned fields and source identifiers.
Use point-in-time scores for historical research and independently verify important claims before investment decisions.

Éviter

Treating mention volume or source scores as guaranteed price forecasts or trade recommendations.
Inventing source identities, article titles, full text, or statistics absent from tool results.
Submitting unlimited repeated requests after errors or ignoring insufficient-balance responses.

Foire aux questions

What does this skill research?

It guides Lava queries for Chinese A-share stocks and concepts, including mentions, rankings, structured viewpoints, source scores, and historical attention.

What setup is required?

Use a client supporting Streamable HTTP MCP, configure the documented Lava endpoint, and supply your provider credential through protected client settings.

Are requests free?

The documentation describes metered data requests and a free account-balance query. Confirm current pricing and available credit with Lava.

Does it return complete news articles?

No. News-hit results contain identifiers, publication times, media sources, and matched stocks, without article titles or bodies.

Can it place trades or predict returns?

No trading workflow is documented. The service provides read-only attention data, which does not establish future returns.

Was the remote service security verified?

No. This audit reviewed the supplied instructions and metadata, not the remote implementation, live responses, or provider data handling.