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 jeremylongshore · MCP Server · ★ 2.8k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is tons-of-skills-marketplace safe to install? View the security audit →
Tons of Skills A model-agnostic agent-skills platform. The canonical layer is harness-free by construction; Claude Code is currently the verified-native harness. Other harnesses remain engineering candidates until their native-path integration is verified; source research alone is never presented as public support. Version semantics:
| Stars | 2,780 |
| Forks | 402 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 66.4977034124799/100 |
| Open Issues | 32 |
| Last Updated | 2026-09-20 |
| Created | 2025-10-10 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~17k |
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tons-of-skills-marketplace is Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com.. It is categorized as a MCP Server with 2.8k GitHub stars.
tons-of-skills-marketplace is primarily written in Python. It covers topics such as agent-skills, ai, ai-agents.
You can find installation instructions and usage details in the tons-of-skills-marketplace GitHub repository at github.com/jeremylongshore/tons-of-skills-marketplace. The project has 2.8k stars and 402 forks, indicating an active community.
tons-of-skills-marketplace is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to tons-of-skills-marketplace on Agent Skills Hub include claude-code-skills, bytebot, cursor-talk-to-figma-mcp. 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.
Sources & who's responsible: