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 steipete · Agent Tool · ★ 255
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is Tachikoma safe to install? View the security audit →
# Tachikoma — Swift AI SDK Modern, Swift-native APIs for text, vision, tools, and realtime voice. Install Swift Package Manager: Quick Start Streaming
| Stars | 255 |
| Forks | 33 |
| Language | Swift |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 73.1009747738739/100 |
| Open Issues | 5 |
| Last Updated | 2026-05-04 |
| Created | 2025-08-02 |
| Est. Tokens | ~189k |
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Tachikoma is One interface, every AI model. A Swift SDK to interface with AI providers.. It is categorized as a Agent Tool with 255 GitHub stars.
Tachikoma is primarily written in Swift. It covers topics such as ai, sdk, swift.
You can find installation instructions and usage details in the Tachikoma GitHub repository at github.com/steipete/Tachikoma. The project has 255 stars and 33 forks, indicating an active community.
Tachikoma is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to Tachikoma on Agent Skills Hub include awesome-ai-sdks, volcano-agent-sdk, MCPSharp. 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.
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