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agent-skills-state-2026

Monthly study of public agent skill, plugin and MCP repositories: dataset, method, hand-checked precision and scripts.

Python · MIT · latest v1.1.0

What it is

Muhammad Basit Ali, 13 October 2026. Dataset, method and scripts are in this repository. Data and text: CC BY 4.0. Code: MIT.

This is the first edition. The scan is re-run every month and each month's data is added alongside; see Updated monthly.

Agent skills, plugin marketplaces and MCP servers are now installed the way browser extensions once were: someone finds a repository, copies a line into a config file and the agent gains new instructions, new shell access or a new process that starts with every session. We wanted to know what that supply looks like on the ground, measured rather than guessed. So we took a random sample of 2,999 public GitHub repositories that ship a SKILL.md, a plugin or marketplace manifest, or an MCP server.json, scanned them with open-source tools, and hand-checked the scanners before trusting them.

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Topics: agent-security, agent-skills, ai-security, claude-code, claude-code-plugins, dataset, empirical-study, github-code-search, mcp, mcp-servers, model-context-protocol, monthly-index, open-data, reproducible-research, security-research, skill-md, supply-chain-security