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 ythx-101 · Agent Tool · ★ 502
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is ask-search safe to install? View the security audit →
🔍 ask-search Self-hosted web search for AI agents — zero API key, full privacy Works in OpenClaw · Claude Code · Antigravity · Any CLI 😡 The Problem Your AI agent wants to search the web, but: Brave Search API: $3/1000 queries, rate limited Google Custom Search: $5/1000, daily caps Bing API: paid, complex setup Built-in web search: sends queries to third-party servers You just want your local agent to search Google without paying or leaking queries. ✅ The Solution wraps SearxNG — a self-hosted meta search engine that aggregates Google, Bing, DuckDuckGo, Brave and 70+ more sources. One command, all results, zero cost. 📊 Compatibility CLI
| Stars | 502 |
| Forks | 47 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 67.0164438632803/100 |
| Open Issues | 2 |
| Last Updated | 2026-03-22 |
| Created | 2026-03-09 |
| Platforms | browser, claude-code, python |
| Est. Tokens | ~4k |
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ask-search is Self-hosted web search skill for AI agents (OpenClaw/Claude Code/Antigravity) via SearxNG. It is categorized as a Agent Tool with 502 GitHub stars.
ask-search is primarily written in Python.
You can find installation instructions and usage details in the ask-search GitHub repository at github.com/ythx-101/ask-search. The project has 502 stars and 47 forks, indicating an active community.
ask-search is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ask-search on Agent Skills Hub include skills, awesome-android-agent-skills, agent-skills. 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: