No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by agentplugins · MCP Server · ★ 1.1k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
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Agent Plugins Agent Plugins is an open, vendor-neutral standard for packaging reusable components that extend AI agents into distributable plugins. It defines a portable package format for Agent Skills and MCP servers. This README is a non-normative introduction. The versioned specification defines the portable contract. Status Agent Plugins Specification 1.0.0 is the current published release. Agent Plugins Specification 1.1.0 is a working draft. Quick Start The smallest useful plugin is a directory with one skill: In : In : A client that supports skills can load the plugin by reading and discovering . How the client exposes the skill to users or models is outside the Agent Plugins specification. Project Documents Agent Plugins Specification 1.0.0 1.0.0 schemas Agent Plugins Specification 1.1.0 (working draft) 1.1.0 schemas Technical Charter Future considerations
| Stars | 1,090 |
| Forks | 61 |
| Category | MCP Server |
| Quality Score | 63.1167003510644/100 |
| Open Issues | 13 |
| Last Updated | 2026-08-19 |
| Created | 2026-04-03 |
| Platforms | mcp |
| Est. Tokens | ~11k |
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agent-plugins-spec is Agent Plugins Specification v1.0.0 — A minimal standard for packaging agent extensions into distributable plugins. It is categorized as a MCP Server with 1.1k GitHub stars.
You can find installation instructions and usage details in the agent-plugins-spec GitHub repository at github.com/agentplugins/agent-plugins-spec. The project has 1.1k stars and 61 forks, indicating an active community.
The top alternatives to agent-plugins-spec on Agent Skills Hub include awesome-hermes-skills, notebook-intelligence, notebook-intelligence. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
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