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 Nimbleway · MCP Server · ★ 52
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is agent-skills safe to install? View the security audit →
Nimble Web Search Skills & Plugin Unlock the web for your AI agents — search, scrape, extract structured data, and run business intelligence workflows, all powered by Nimble's web data infrastructure. One plugin for Claude Code, Cursor, and any platform that supports the Agent Skills spec. Agent credential protocol: see AUTH.md — the file agents read to authenticate to the Nimble API. Served live at https://nimbleway.com/auth.md. Skills Walk into any
| Stars | 52 |
| Forks | 17 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 71.3428764809745/100 |
| Open Issues | 4 |
| Last Updated | 2026-08-26 |
| Created | 2026-01-29 |
| Platforms | browser, claude-code, codex, mcp, python |
| Est. Tokens | ~15k |
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agent-skills is Agent skills that give AI agents live web data — search, scrape, and extract structured data with Extraction Templates and Web Search Agents, plus one-command business intelligence workflows. Plugin a. It is categorized as a MCP Server with 52 GitHub stars.
agent-skills is primarily written in Python. It covers topics such as agent-skills, ai-agents, claude-code.
You can find installation instructions and usage details in the agent-skills GitHub repository at github.com/Nimbleway/agent-skills. The project has 52 stars and 17 forks, indicating an active community.
agent-skills is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to agent-skills on Agent Skills Hub include agent-skills, sub-agents-mcp, crawl4ai-mcp-server. 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: