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 itsthelore · Agent Tool · ★ 396
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is WayfinderRouter safe to install? View the security audit →
A fast, offline hard-or-easy call on every prompt — scored deterministically, with no model call. Route the easy ones to your small/local model and the hard ones to your big one, or compose any model-router behind it. Quickstart · Benchmark · How it compares · Explainer · Changelog No model callto decide the route Deterministic<
| Stars | 396 |
| Forks | 22 |
| Language | Rust |
| Category | Agent Tool |
| License | Apache-2.0 |
| Quality Score | 62.3429918486162/100 |
| Open Issues | 6 |
| Last Updated | 2026-07-24 |
| Created | 2026-06-17 |
| Platforms | cli, rust |
| Est. Tokens | ~29k |
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WayfinderRouter is Simple CLI tool for deterministic routing of queries between local and hosted LLM models. It is categorized as a Agent Tool with 396 GitHub stars.
WayfinderRouter is primarily written in Rust.
You can find installation instructions and usage details in the WayfinderRouter GitHub repository at github.com/itsthelore/WayfinderRouter. The project has 396 stars and 22 forks, indicating an active community.
WayfinderRouter is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to WayfinderRouter on Agent Skills Hub include awesome-android-agent-skills, agent-skills, claude-code-skill-factory. 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: