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 howdeploy/deploychan_mcp --skill voice-desktop-controlgit clone --depth 1 https://github.com/howdeploy/deploychan_mcpWrote 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/howdeploy/deploychan_mcp/voice-desktop-control)<a href="https://agentmods.dev/skills/howdeploy/deploychan_mcp/voice-desktop-control"><img src="https://agentmods.dev/badge/skills/howdeploy/deploychan_mcp/voice-desktop-control/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/howdeploy/deploychan_mcp/voice-desktop-control"><img src="https://agentmods.dev/badge/skills/howdeploy/deploychan_mcp/voice-desktop-control.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 | $0.00054 | $0.00718 |
| Opus 5.5 | $0.00022 | $0.00287 |
| Sonnet 5.5 | $0.00011 | $0.00144 |
| Haiku 4.5 | $0.00005 | $0.00072 |
Grade A, and why
Add typed voice control and focused dictation to Linux 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
Host voice control
Read the existing activation, ASR, stop and delivery paths before editing. Keep the
user's current speaker trigger and text destination. Retrieve
voice-input-and-desktop-routing through Deploychan MCP for application examples.
- Identify the real user session, compositor, player, display identities and installed application entrypoints. Keep one warm ASR service; distinguish inference from endpointing and transport. Do not change microphone routing just to add a parser.
- Add exact normalized command aliases. For numbered targets support cardinal and ordinal forms and both natural word orders; include the user's short form. Dictation containing the same words must not execute an action.
- Map to typed, bounded adapters. Use compositor IPC, the actual media player's supported controls, stable monitor identity with bounded brightness, and graceful application launch/close. Select installed releases by parsed versions and policy.
- For application bridges, define an action, typed target and request ID. Keep accepted, completed, unsupported and failed states distinct. An avatar's sitting, hiding, dance selection or portrait mode is an application transition, not merely a coordinate change. A renderer-specific path cannot be guessed from another app.
- Consume a handled action before agent delivery. Report failure through the existing notification/status channel; do not also forward the command as a normal prompt.
- For dictation, provide an explicit target-mode hotkey/status. Capture and recheck the focused field, put the completed text on the clipboard and invoke the permitted paste mechanism. Never add Enter/send without the user's requested workflow. Support an explicit paragraph phrase with a literal escape if desired.
- While locked, distinguish blanking from suspension/network loss. Keep permitted media/display-wake controls in the session service. Show the password screen rather than bypassing the lock; do not paste private text into an unverified field.
Keep spoken acknowledgements optional and explicitly requested, except for the user's chosen short device cues. Respect current volume and stop behavior. A failing next-track action can be a missing website Media Session handler, not a recognition problem; a partial paste can be focus/clipboard policy, not a reason to retrain speech.
Deliver supported phrases and adapters, actual loaded service/configuration, failure status and remaining manual checks. Do not run a demonstration, change a working service or send a message merely because this skill was read.
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 · 58 lines · 54 tokens per session scan A 8f70ff540925
Add typed voice control and focused dictation to Linux is a skill published in the GitHub repository howdeploy/deploychan_mcp (21 stars, last pushed 9d ago), licensed MIT. It adds 54 tokens to every session and 718 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 2026-10-28.
Add typed voice control and focused dictation to Linux compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| Add typed voice control and focused dictation to Linuxhowdeploy/deploychan_mcp | Skill | 21 | 9d ago | MIT | A | 54 | Claude Code, Codex |
| amazon-alexasickn33/agentic-awesome-skills | Skill | 49k | yesterday | MIT | A | 53 | Claude Code |
| hex-personal-commandsanomalyco/hex | Skill | 5.3k | yesterday | MIT | A | 42 | Claude Code, Codex |
| kernel-devalibaba/anolisa | Skill | 603 | 1mo ago | Apache-2.0 | B | 112 | Claude Code, Codex |
| amazon-alexalingxling/awesome-skills-cn | Skill | 329 | 1mo ago | MIT | A | 53 | Claude Code |
| ai-mediaJ-StaR-Films-Studios/VibeCode-Protocol-Suite | Skill | 26 | 20d ago | ISC | A | 59 | Claude Code, Codex |
| voice-aioyi77/1ai-skills | Skill | 17 | yesterday | MIT | B | 37 | Claude Code |