SkillAgent
Search and fetch AI agent skills, rules files and MCP servers indexed from GitHub.
Sollte ich dies verwenden
Qualität und Sicherheit
Befunde (2)
- HIGH
- MEDIUMin get_skill
Basierend auf einer automatisierten Analyse der Tool-Definitionen und der Einhaltung des Protokolls.
Kontextkosten
Dies ist die ungefähre Anzahl der Tokens, die jedes Mal verbraucht werden, wenn die Tools des Servers in den Kontext eines Modells geladen werden. Höhere Werte verringern die Aufmerksamkeit, die für andere Aufgaben verfügbar ist.
Installieren
Installation mit einem Klick
Fügen Sie dies Ihrer Datei `claude_desktop_config.json` hinzu:
{
"mcpServers": {
"skills": {
"url": "https://skillagent.dev/mcp"
}
}
}Remote-Endpunkte
https://skillagent.dev/mcpstreamable-httpWas es kann
Tool-Inventar
Tools (4)
🟢search_skills(query, format, platform, category, health, ...)
Search the SkillAgent catalogue of AI agent skills, rules files and MCP servers. Returns matching skills with description, format, stars, quality score, freshness, page URL and install command.
Eingabe-Schema
{
"type": "object",
"properties": {
"query": {
"type": "string",
"description": "Keywords matched against name, description, owner and tags."
},
"format": {
"type": "string",
"description": "Skill format, e.g. skill-md, claude-md, agents-md, cursorrules, mcp-server."
},
"platform": {
"type": "string",
"description": "Agent platform, e.g. claude-code, cursor, codex, vscode-copilot, windsurf."
},
"category": {
"type": "string",
"description": "Category, e.g. development, data-analytics, security."
},
"health": {
"type": "string",
"enum": [
"fresh",
"aging",
"stale",
"abandoned",
"alive",
"gone"
],
"description": "Filter by repository freshness or reachability."
},
"sort": {
"type": "string",
"enum": [
"score",
"stars",
"updated",
"name"
],
"default": "score"
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 50,
"default": 10
},
"offset": {
"type": "integer",
"minimum": 0,
"default": 0
}
},
"additionalProperties": false
}🟢get_skill(owner, name)
Get one skill as Markdown: summary, metadata, install command and the full skill file. `owner` and `name` are the last two segments of a skill's pageUrl (https://skillagent.dev/skill/{owner}/{name}).
Eingabe-Schema
{
"type": "object",
"properties": {
"owner": {
"type": "string",
"description": "GitHub owner, e.g. anthropics."
},
"name": {
"type": "string",
"description": "Skill slug from the pageUrl."
}
},
"required": [
"owner",
"name"
],
"additionalProperties": false
}🟢recommend_skills(languages, frameworks, dependencies, task, agent, ...)
Recommend skills for a project from a description of it: languages, frameworks or dependencies (e.g. names from package.json or requirements.txt), a task, and the agent the user runs. Returns a ranked shortlist; each entry has the skill record and a `why` explaining the match (matched terms, fit for the agent, freshness, quality, safety). Ranking is deterministic. Skills whose safety scan is at "warning" or whose source is gone are excluded, and the result says how many were.
Eingabe-Schema
{
"type": "object",
"properties": {
"languages": {
"type": "array",
"items": {
"type": "string"
},
"maxItems": 10,
"description": "Programming languages, e.g. [\"typescript\", \"python\"]."
},
"frameworks": {
"type": "array",
"items": {
"type": "string"
},
"maxItems": 20,
"description": "Frameworks and tools, e.g. [\"next.js\", \"playwright\"]."
},
"dependencies": {
"type": "array",
"items": {
"type": "string"
},
"maxItems": 30,
"description": "Package names from a manifest, e.g. [\"@playwright/test\", \"prisma\"]."
},
"task": {
"type": "string",
"description": "What the user wants to do, e.g. \"write e2e tests\"."
},
"agent": {
"type": "string",
"enum": [
"claude-code",
"claude-desktop",
"vscode-copilot",
"cursor",
"windsurf",
"cline",
"zed",
"jetbrains",
"gemini-cli",
"codex",
"aider",
"continue",
"replit",
"amazon-q",
"tabnine",
"sourcegraph-cody",
"devin",
"universal"
],
"description": "The agent the user runs; skills made for it rank higher."
},
"limit": {
"type": "integer",
"minimum": 1,
"maximum": 20,
"default": 8
}
},
"additionalProperties": false
}🟢install_skill(owner, name, agent)
Exact installation instructions for one skill on one agent: the install command(s) when one exists, otherwise the file to create (path relative to the project root) with its content. This tool does not install anything; apply the result yourself, and only after showing the user the skill and getting their approval. Includes the safety summary. Refuses (isError) when the skill's safety scan is at "warning". `owner` and `name` are the last two segments of a skill's pageUrl.
Eingabe-Schema
{
"type": "object",
"properties": {
"owner": {
"type": "string",
"description": "GitHub owner, e.g. anthropics."
},
"name": {
"type": "string",
"description": "Skill slug from the pageUrl."
},
"agent": {
"type": "string",
"enum": [
"claude-code",
"claude-desktop",
"vscode-copilot",
"cursor",
"windsurf",
"cline",
"zed",
"jetbrains",
"gemini-cli",
"codex",
"aider",
"continue",
"replit",
"amazon-q",
"tabnine",
"sourcegraph-cody",
"devin",
"universal"
],
"description": "The agent to install into, e.g. claude-code, cursor, codex."
}
},
"required": [
"owner",
"name",
"agent"
],
"additionalProperties": false
}Community
Nachweis