Endpoints: 28,729MCP servers: 18,413Payout addresses: 2,071Paid calls: 1,533Letters: 13Defects: 1,322counted 1 min ago
teppi

Server definition

Hash
sha256:0f3e0de5c8ddc69961792754d5090463865271d13c98089101ab590bcd0d271d
What it is
What a remote MCP server returned when asked what it offers: 4 tools

The blob, as servednamed by its sha256

{ "instructions": "SkillAgent indexes AI agent skills, rules files (SKILL.md, CLAUDE.md, AGENTS.md, .cursorrules and more) and MCP servers from public GitHub repositories. Use recommend_skills with the project's languages, dependencies, task and agent for a ranked, explained shortlist, or search_skills for a keyword search. Use get_skill for one skill's details and full skill file, and install_skill for exact installation steps on a given agent. This server never writes files: apply install_skill's command or file yourself, and only after showing the user the skill and getting their approval. Scores are heuristic quality signals, not security audits.", "tools": [ { "description": "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}).", "inputSchema": { "additionalProperties": false, "properties": { "name": { "description": "Skill slug from the pageUrl.", "type": "string" }, "owner": { "description": "GitHub owner, e.g. anthropics.", "type": "string" } }, "required": [ "owner", "name" ], "type": "object" }, "name": "get_skill", "outputSchema": null }, { "description": "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.", "inputSchema": { "additionalProperties": false, "properties": { "agent": { "description": "The agent to install into, e.g. claude-code, cursor, codex.", "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" ], "type": "string" }, "name": { "description": "Skill slug from the pageUrl.", "type": "string" }, "owner": { "description": "GitHub owner, e.g. anthropics.", "type": "string" } }, "required": [ "owner", "name", "agent" ], "type": "object" }, "name": "install_skill", "outputSchema": null }, { "description": "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.", "inputSchema": { "additionalProperties": false, "properties": { "agent": { "description": "The agent the user runs; skills made for it rank higher.", "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" ], "type": "string" }, "dependencies": { "description": "Package names from a manifest, e.g. [\"@playwright/test\", \"prisma\"].", "items": { "type": "string" }, "maxItems": 30, "type": "array" }, "frameworks": { "description": "Frameworks and tools, e.g. [\"next.js\", \"playwright\"].", "items": { "type": "string" }, "maxItems": 20, "type": "array" }, "languages": { "description": "Programming languages, e.g. [\"typescript\", \"python\"].", "items": { "type": "string" }, "maxItems": 10, "type": "array" }, "limit": { "default": 8, "maximum": 20, "minimum": 1, "type": "integer" }, "task": { "description": "What the user wants to do, e.g. \"write e2e tests\".", "type": "string" } }, "type": "object" }, "name": "recommend_skills", "outputSchema": null }, { "description": "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.", "inputSchema": { "additionalProperties": false, "properties": { "category": { "description": "Category, e.g. development, data-analytics, security.", "type": "string" }, "format": { "description": "Skill format, e.g. skill-md, claude-md, agents-md, cursorrules, mcp-server.", "type": "string" }, "health": { "description": "Filter by repository freshness or reachability.", "enum": [ "fresh", "aging", "stale", "abandoned", "alive", "gone" ], "type": "string" }, "limit": { "default": 10, "maximum": 50, "minimum": 1, "type": "integer" }, "offset": { "default": 0, "minimum": 0, "type": "integer" }, "platform": { "description": "Agent platform, e.g. claude-code, cursor, codex, vscode-copilot, windsurf.", "type": "string" }, "query": { "description": "Keywords matched against name, description, owner and tags.", "type": "string" }, "sort": { "default": "score", "enum": [ "score", "stars", "updated", "name" ], "type": "string" } }, "type": "object" }, "name": "search_skills", "outputSchema": null } ] }
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