Mode d’emploi
- Copiez la commande et examinez le paquet avant de l’installer dans votre environnement agent.
- Consultez le document original pour les outils, identifiants et environnements requis.
- Décrivez les entrées et le livrable souhaité ; comparez la sortie aux sources.
npx skills add https://github.com/actionbook/rust-skills --skill core-actionbookAvant de commencer
- L’installation n’inclut ni abonnement au modèle, ni quota API, ni accès aux fichiers.
- Étoiles et installations reflètent l’activité, pas un test indépendant de qualité ou de sécurité.
Document Skill original
Rendu depuis le dépôt source en conservant titres, exemples, code, tableaux, liens et images.
Actionbook
Pre-computed action manuals for browser automation. Agents receive structured page information instead of parsing entire HTML.
Workflow
- search_actions - Search by keyword, returns URL-based action IDs with content previews
- get_action_by_id - Get full action manual with page details, DOM structure, and element selectors
- Execute - Use returned selectors with your browser automation tool
MCP Tools
search_actions- Search by keyword. Returns: URL-based action IDs, content previews, relevance scoresget_action_by_id- Get full action details. Returns: action content, page element selectors (CSS/XPath), element types, allowed methods (click, type, extract), document metadata
Parameters
search_actions:
query(required): Search keyword (e.g., "airbnb search", "google login")type:vector|fulltext|hybrid(default)limit: Max results (default: 5)sourceIds: Filter by source IDs (comma-separated)minScore: Minimum relevance score (0-1)
get_action_by_id:
id(required): URL-based action ID (e.g.,example.com/page)
Example Response
json
{
"title": "Airbnb Search",
"url": "www.airbnb.com/search",
"elements": [
{
"name": "location_input",
"selector": "input[data-testid='structured-search-input-field-query']",
"type": "textbox",
"methods": ["type", "fill"]
}
]
}
