SkillAgent
Search and fetch AI agent skills, rules files and MCP servers indexed from GitHub.
Should I use this
Quality & Safety
Findings (2)
- HIGHTool poisoning patterns detected
- MEDIUMTool description contains URL to non-standard domainin get_skill
Based on automated analysis of tool definitions and protocol compliance.
Context Cost
This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.
Install
One-Click Install
Add this to your `claude_desktop_config.json` file:
{
"mcpServers": {
"skills": {
"url": "https://skillagent.dev/mcp"
}
}
}Remote endpoints
https://skillagent.dev/mcpstreamable-httpWhat it can do
Tool inventory
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.
Input 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}).
Input 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.
Input 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.
Input 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
Evidence