by spaceamoeba-t · Codex Skill · ★ 106
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Multi-modal voice agent for your AI agents. Talk with Claude Code, Codex, and others by voice: answer their prompts, give instructions, ask what they did. Or just nod.
| Stars | 106 |
| Forks | 0 |
| Language | Swift |
| Category | Codex Skill |
| License | Apache-2.0 |
| Quality Score | 54.0431458849492/100 |
| Open Issues | 2 |
| Last Updated | 2026-09-09 |
| Created | 2026-07-19 |
| Platforms | claude-code, cli, codex |
| Est. Tokens | ~15k |
These tools work well together with tapq for enhanced workflows:
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tapq is Multi-modal voice agent for your AI agents. Talk with Claude Code, Codex, and others by voice: answer their prompts, give instructions, ask what they did. Or just nod.. It is categorized as a Codex Skill with 106 GitHub stars.
tapq is primarily written in Swift. It covers topics such as accessibility, ai-agents, airpods.
You can find installation instructions and usage details in the tapq GitHub repository at github.com/spaceamoeba-t/tapq. The project has 106 stars and 0 forks, indicating an active community.
tapq is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to tapq on Agent Skills Hub include heard, agnix, motive. 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: