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 tt-11-dd · Codex Skill · ★ 87
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is tether-ai safe to install? View the security audit →
Tether A local-first AI coding workbench built on the Pi ecosystem Let DeepSeek and OpenAI-compatible models inspect, edit, and verify your repositories with explicit safety boundaries. English · 简体中文 · Download latest Tether is an Electron desktop agent for real codebases. It brings model calls, workspace tools, terminal commands, permission prompts, session history, and diff review into one local workbench. The UI and session data stay on your machine; model requests go directly to the provider or local gateway you configure, without a Tether relay. Why Tether DeepSeek first — custom Base URL, model discovery, and reasoning-level controls, plus OpenAI-compatible endpoints such as OneAPI, Ollama, and vLLM. Visible and controllable — inspect tool calls, command output, file changes, and context usage as work happens. Permission boundaries — Plan, Ask, Workspace, and Full Access modes. Recoverable edit
| Stars | 87 |
| Forks | 11 |
| Language | TypeScript |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 65.0741120487603/100 |
| Last Updated | 2026-09-14 |
| Created | 2026-08-15 |
| Platforms | claude-code, codex, node |
| Est. Tokens | ~15k |
These tools work well together with tether-ai for enhanced workflows:
Looking for a tether-ai alternative? If you're comparing tether-ai with other codex skill tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
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Explore other popular codex skill tools:
tether-ai is Tether Agent. It is categorized as a Codex Skill with 87 GitHub stars.
tether-ai is primarily written in TypeScript. It covers topics such as aagent, ai, claude-code.
You can find installation instructions and usage details in the tether-ai GitHub repository at github.com/tt-11-dd/tether-ai. The project has 87 stars and 11 forks, indicating an active community.
tether-ai is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to tether-ai on Agent Skills Hub include kasetto, open-jet, kindly-web-search-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: