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Compétence de recherche multi-plateforme unifiée qui agrège les résultats de plus de 20 plateformes (GitHub, Reddit, Bilibili, YouTube, Twitter, plateformes chinoises) avec des sorties structurées.
La Compétence de Recherche Unifiée fournit une interface unique pour effectuer des recherches unifiées sur plus de 20 plateformes, incluant des sites de développeurs (GitHub), des médias sociaux (Reddit, Bilibili, Douyin), des plateformes vidéo (YouTube), des moteurs de recherche (DuckDuckGo, Bing) et des sources d'images. Elle standardise l'entrée/sortie, supporte le filtrage, la déduplication, l'archivage des réponses brutes et les téléchargements d'images en masse (avec métadonnées).
Utilisez cette compétence lorsque vous avez besoin de collecte de renseignements multi-plateformes, de découverte de contenu, de surveillance des mentions sur plusieurs canaux, d'archivage massif de résultats de recherche ou lorsque vous travaillez sans clés API. Convient aux chercheurs, aux équipes d'intelligence sur les menaces, aux équipes de contenu et aux ingénieurs construisant des outils de recherche agrégés.
Fonctionne avec les agents capables d'invoquer des scripts CLI/python et de parser des sorties JSON/Markdown (OpenClaw, agents basés sur Python local, assistants de type Copilot).
Union Search Skill provides a unified CLI for searching 20+ platforms (GitHub, Reddit, Chinese social media, search engines, image search). The SKILL.md is comprehensive and well-organized with detailed usage instructions, but all scripts were absent from the DB record (empty scripts dict), so only static analysis of the markdown was possible. The skill covers a broad range of platforms including niche Chinese services, making it unique in scope, though many platforms require API keys.
SKILL.md is well-structured with good organization (tables, project structure, FAQ). No security concerns in the visible content — no curl|bash, no hardcoded credentials, no destructive commands. However, scripts were not available for review, so security scoring is based purely on SKILL.md content. The skill requires many API credentials for platforms like Google, Tavily, Exa, etc. Code quality is moderate — the markdown instructions are clear but we cannot assess actual script quality. Architecture is decent with proper scripts/ and references/ separation, but the SKILL.md is very long and could benefit from progressive disclosure.
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