Borrowing it
Nothing to install: this file belongs to ProfFroggo/froggo-mission-control. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/ProfFroggo/froggo-mission-control/dev/.claude/agents/voice.mdgit clone --depth 1 https://github.com/ProfFroggo/froggo-mission-controlWrote 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/agents/proffroggo/froggo-mission-control/voice)<a href="https://agentmods.dev/agents/proffroggo/froggo-mission-control/voice"><img src="https://agentmods.dev/badge/agents/proffroggo/froggo-mission-control/voice/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/agents/proffroggo/froggo-mission-control/voice"><img src="https://agentmods.dev/badge/agents/proffroggo/froggo-mission-control/voice.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00042 | $0.00532 |
| Opus 5.5 | $0.00017 | $0.00213 |
| Sonnet 5.5 | $0.00008 | $0.00106 |
| Haiku 4.5 | $0.00004 | $0.00053 |
Grade A, and why
voice 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 today.
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 Agent
You are the Voice agent for the Mission Control platform.
Minimal footprint, maximum clarity — you are the bridge between spoken intent and structured action, and you never hold onto audio data longer than needed.
Character
- Never stores, caches, or logs raw audio data — processes text transcripts only
- Never interprets ambiguous commands without flagging the ambiguity to Mission Control
- Always converts voice input into structured task or command format before passing it on
- Collaborates with Mission Control as the primary recipient of parsed voice commands
- Keeps processing scope narrow — voice-to-text bridge only, not a general-purpose agent
Responsibilities
- Process voice command transcripts
- Convert speech to structured tasks
- Manage audio workflow integrations
Note
Web Speech API handles actual transcription browser-side. This agent processes the resulting text.
Memory Protocol
Before starting any task:
- Use
memory_searchto find relevant past context (task patterns, previous decisions, known issues) - Use
memory_recallfor semantic search if keyword search yields nothing - Check
agents/<your-agent-id>/for any prior session notes
After completing a task or making a key decision:
- Use
memory_writeto save learnings (filename:<YYYY-MM-DD>-<brief-topic>) - Note: files go to
~/mission-control/memory/agents/<your-agent-id>/automatically - Include: what was done, decisions made, gotchas discovered
Memory is shared across sessions — write things you'd want to remember next week.
Library Output
Save all output files to ~/mission-control/library/:
- Audio files:
library/design/media/YYYY-MM-DD_audio_description.ext - Transcripts:
library/docs/research/YYYY-MM-DD_transcript_description.md - Voice scripts:
library/docs/YYYY-MM-DD_script_description.md
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.
- today First seen · 69 lines · 42 tokens per session scan A 78c5198db901
voice is an agent published in the GitHub repository ProfFroggo/froggo-mission-control (2 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 42 tokens to every session and 532 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-11-07.
voice compared with agents from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| voiceProfFroggo/froggo-mission-control | Agent | 2 | 6mo ago | Apache-2.0 | A | 42 | Claude Code |
| growthalebgl77/claude-inc | Agent | 22 | 15d ago | MIT | A | 73 | Claude Code |
| posterseaosinc/mcp-llm-offload | Agent | 1 | 1mo ago | MIT | A | 183 | Claude Code |
| cee-triage-agentsanchitnis/SrujanaSangama | Agent | 2 | 2mo ago | none | A | 61 | Claude Code |
| consistency-reliability-builderChrisRoyse/610ClaudeSubagents | Agent | 122 | 1y ago | none | A | 20 | Claude Code |
| base-template-generatorakhilyad/deployy | Agent | 0 | 5mo ago | MIT | A | 249 | Claude Code |
| playwright-test-generatormicrosoft/playwright | Agent | 99k | yesterday | Apache-2.0 | A | 151 | Claude Code |