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Glama
agentskill-sh

agentskill-mcp

Official

Server Configuration

Describes the environment variables required to run the server.

NameRequiredDescriptionDefault

No arguments

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Features and capabilities supported by this server

Protocol revision2025-11-25

CapabilityDetails
tools
{
  "listChanged": true
}

Tools

Functions exposed to the LLM to take actions

NameDescription
search_skillsC

Search for AI agent skills on agentskill.sh. Returns matching skills with name, description, rating, and install count.

get_skillB

Get full details for a specific skill including its SKILL.md content, security info, and metadata.

install_skillC

Install a skill from agentskill.sh to the local skills directory. Downloads the SKILL.md file and any associated files.

get_trendingC

Get trending and popular skills on agentskill.sh.

Prompts

Interactive templates invoked by user choice

NameDescription

No prompts

Resources

Contextual data attached and managed by the client

NameDescription

No resources

TDQS

A3.5/5.0

Scored across 4 tools

Disambiguation5/5

Each tool has a clearly distinct purpose with no overlap: get_skill retrieves detailed information for a specific skill, get_trending lists popular skills, install_skill handles installation, and search_skills performs keyword-based searches. The descriptions reinforce these distinct roles, making misselection unlikely.

Naming Consistency5/5

All tool names follow a consistent verb_noun pattern using snake_case (e.g., get_skill, install_skill). The verbs (get, get, install, search) are appropriate and predictable, creating a coherent naming convention throughout the set.

Tool Count5/5

With 4 tools, this server is well-scoped for its purpose of managing AI agent skills. Each tool serves a clear and necessary function (discovery, retrieval, installation), and none feel redundant or missing, making the count appropriate for the domain.

Completeness4/5

The tool set covers core workflows for skill discovery and installation effectively, including search, trending, detailed retrieval, and installation. A minor gap exists in lifecycle management, such as updating or uninstalling skills, but agents can work around this with the provided tools for most use cases.

Maintenance

ActivityInactive
ResponsivenessUnresponsive