Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add vasilyu1983/AI-Agents-public --skill ai-voice-botsgit clone --depth 1 https://github.com/vasilyu1983/AI-Agents-publicWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/vasilyu1983/ai-agents-public/ai-voice-bots)<a href="https://agentmods.dev/skills/vasilyu1983/ai-agents-public/ai-voice-bots"><img src="https://agentmods.dev/badge/skills/vasilyu1983/ai-agents-public/ai-voice-bots/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/vasilyu1983/ai-agents-public/ai-voice-bots"><img src="https://agentmods.dev/badge/skills/vasilyu1983/ai-agents-public/ai-voice-bots.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00039 | $0.04517 |
| Opus 5 | $0.00019 | $0.02259 |
| Sonnet 5 | $0.00008 | $0.00903 |
| Haiku 4.5 | $0.00004 | $0.00452 |
Grade A, and why
ai-voice-bots scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 241 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Voice Bots
Use this skill to build, ship, and tune voice bots — phone IVR, real-time speech agents, and voice-first customer interactions — using pure Python frameworks.
This skill owns the voice-specific pipeline: STT, TTS, telephony platforms, latency engineering, and voice quality. For conversation design, persona, and escalation patterns, use ai-bot-builder.
Default posture for Jul 2026: Pipecat as default framework, sub-700ms total turn latency, streaming STT→LLM→TTS pipeline, deterministic VAD, and voice quality metrics from day one. S2S (speech-to-speech) via OpenAI Realtime API or Gemini Live is available as a latency-first alternative — see Framework Selection and references/s2s-and-native-voice-apis.md.
When to Use This Skill
- Building a voice bot for phone, IVR, or real-time speech
- Choosing a telephony platform (Twilio, Vapi, Bland.ai, Retell, Telnyx, Vonage)
- Choosing a voice pipeline framework (Pipecat, LiveKit Agents, Vocode)
- Engineering latency budgets for voice (TTFB, total turn latency)
- Selecting and configuring STT/TTS providers (Deepgram, ElevenLabs, Cartesia, Azure)
- Monitoring voice quality (MOS, WER, call completion rate)
- Designing IVR flows with DTMF and voice hybrid
- Building outbound dialing campaigns
When NOT to Use This Skill
| Need | Route to |
|---|---|
| Bot conversation design, persona, escalation | ai-bot-builder |
| Text-only bot architecture | ai-bot-builder |
| General agent architecture | ../ai-agents/SKILL.md |
| WebSocket/SSE infrastructure (non-voice) | ../software-realtime/SKILL.md |
| Voice/multimodal reference material | ../ai-agents/references/voice-multimodal-agents.md |
Quick Reference
| Need | Default | Notes |
|---|---|---|
| Choose telephony platform | references/telephony-platform-selection.md |
Twilio, Vapi, Bland.ai, Retell, Telnyx, Vonage |
| Design voice pipeline | references/voice-pipeline-architecture.md |
STT→LLM→TTS streaming, codec selection |
| Build with Pipecat | references/pipecat-patterns.md |
Processors, transports, production deployment |
| Build with LiveKit Agents | references/livekit-agents-patterns.md |
VoicePipelineAgent, rooms, plugins |
| Optimize latency | references/latency-engineering.md |
Component budgets, edge deployment, caching |
| Monitor voice quality | references/voice-quality-metrics.md |
MOS, WER, dashboards, alerting |
| Design IVR flows | references/ivr-design.md |
DTMF, menu trees, hybrid voice+keypad |
| Voice compliance | references/voice-safety-compliance.md |
Recording consent, PCI, TCPA, GDPR |
| Deploy voice bot to 24/7 production | references/production-deployment.md |
Concurrent-call capacity, SIP/PSTN HA, autoscaling, drain, recording compliance, cost model |
| Pick a hosting platform (LiveKit Cloud + Fly.io, Pipecat Cloud, etc.) | ../software-paas-hosting/references/agent-hosting-matrix.md |
Voice stacks BV1–BV3 + what does NOT host voice |
What ships with it
22 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- agents/openai.yaml 410 B
- assets/voice-bot-spec.md 3.1 KB
- assets/voice-eval-scenarios.md 2.9 KB
- assets/voice-latency-budget.md 2.3 KB
- assets/voice-quality-checklist.md 2.5 KB
- data/sources.json 5.5 KB
- learnings.consolidated.md 589 B
- learnings.md 395 B
- references/index.md 2.2 KB
- references/ivr-design.md 24 KB
- references/latency-engineering.md 21 KB
- references/livekit-agents-patterns.md 17 KB
- references/pipecat-patterns.md 24 KB
- references/production-deployment.md 18 KB
- references/queueing-theory-applied.md 31 KB
- references/s2s-and-native-voice-apis.md 12 KB
- references/telephony-platform-selection.md 13 KB
- references/voice-pipeline-architecture.md 23 KB
- references/voice-quality-metrics.md 18 KB
- references/voice-safety-compliance.md 25 KB
- scripts/call_quality_scorer.py 7.8 KB runs code
- scripts/voice_latency_audit.py 6.6 KB runs code
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 241 lines · 39 tokens per session scan A 431107a1461f
ai-voice-bots is a skill published in the GitHub repository vasilyu1983/AI-Agents-public (87 stars, last pushed 9d ago), licensed MIT. It adds 39 tokens to every session and 4,517 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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