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 Kevin-Liu-01 · Claude Skill · ★ 11
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Local-Search safe to install? View the security audit →
Small Rust CLI that turns your local browser into a structured search API for Claude Code, Codex, Cursor, OpenClaw, and shell agents—no hosted API key or metered search bill.
| Stars | 11 |
| Forks | 0 |
| Language | Rust |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 67.17760377068/100 |
| Open Issues | 3 |
| Last Updated | 2026-10-01 |
| Created | 2026-07-20 |
| Platforms | browser, claude-code, cli, codex, rust |
| Est. Tokens | ~23k |
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Local-Search is Small Rust CLI that turns your local browser into a structured search API for Claude Code, Codex, Cursor, OpenClaw, and shell agents—no hosted API key or metered search bill.. It is categorized as a Claude Skill with 11 GitHub stars.
Local-Search is primarily written in Rust. It covers topics such as agents, ai-agents, browser.
You can find installation instructions and usage details in the Local-Search GitHub repository at github.com/Kevin-Liu-01/Local-Search. The project has 11 stars and 0 forks, indicating an active community.
Local-Search is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Local-Search on Agent Skills Hub include agent-skills, agent-skills, TaskWing. 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: