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 metaspartan/cybara --skill voice-callgit clone --depth 1 https://github.com/metaspartan/cybaraWrote 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/metaspartan/cybara/voice-call)<a href="https://agentmods.dev/skills/metaspartan/cybara/voice-call"><img src="https://agentmods.dev/badge/skills/metaspartan/cybara/voice-call/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/metaspartan/cybara/voice-call"><img src="https://agentmods.dev/badge/skills/metaspartan/cybara/voice-call.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 | $0.00021 | $0.00311 |
| Opus 5 | $0.00010 | $0.00156 |
| Sonnet 5 | $0.00004 | $0.00062 |
| Haiku 4.5 | $0.00002 | $0.00031 |
Grade A, and why
voice-call 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 9d 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.
What it actually says
Voice Call
Use voice_call when an agent needs to place or manage a phone call.
Backends
mode: "macos"ormode: "auto"on macOS: Starts a FaceTime phone call and can play spoken prompts through the local system voice.mode: "mock": Dry-run backend for tests, demos, and local verification without starting a real call.
Tool
Use voice_call for agent-initiated call flows.
Actions:
check_supportinitiate_callcontinue_callspeak_to_userend_callget_status
Useful arguments:
toorphonecallIdmessagemodevoicerate
Notes
- macOS mode is local-device call assistance, not a managed carrier/VoIP session.
initiate_callstarts the FaceTime call.speak_to_user/continue_calluse the macOSsayvoice on the local machine.end_callcloses FaceTime to end the active call.- Use
mode: "mock"when you need an agent workflow or test without placing a live call.
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.
- 9d ago First seen · 45 lines · 21 tokens per session scan A 9615d73c3e11
voice-call is a skill published in the GitHub repository metaspartan/cybara (30 stars, last pushed yesterday), licensed MIT. It adds 21 tokens to every session and 311 once invoked, about $0.0001 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 2026-09-03.
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