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 TheSmokeDev · Codex Skill · ★ 57
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is hermes-talk safe to install? View the security audit →
Hermes Talk Realtime duplex voice for your own agent — talk to it, it runs real work in the background, it reports back out loud. Hermes Talk is a realtime voice plugin for Hermes Agent: you speak, it answers out loud, and it calls the agent's own tools without leaving the conversation. It runs in the terminal (), in a Discord voice channel (), and in the Hermes dashboard Talk tab. It rides your ChatGPT or SuperGrok subscription. No API key required.
| Stars | 57 |
| Forks | 15 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 68.1546163631684/100 |
| Open Issues | 21 |
| Last Updated | 2026-09-29 |
| Created | 2026-08-02 |
| Platforms | cli, codex, gemini, python |
| Est. Tokens | ~17k |
These tools work well together with hermes-talk for enhanced workflows:
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hermes-talk is Hermes Talk: realtime duplex voice for Hermes Agent. Rides your ChatGPT or X Premium subscription, no API key needed. OpenAI, Grok, Gemini. Terminal, Discord, dashboard.. It is categorized as a Codex Skill with 57 GitHub stars.
hermes-talk is primarily written in Python. It covers topics such as agent-orchestration, ai-agents, chatgpt.
You can find installation instructions and usage details in the hermes-talk GitHub repository at github.com/TheSmokeDev/hermes-talk. The project has 57 stars and 15 forks, indicating an active community.
hermes-talk is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to hermes-talk on Agent Skills Hub include guaardvark, captain-claw, openlegion. 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: