agentvibes-target

agentvibes-target is a skill for Claude Code, Codex from paulpreibisch/AgentVibes. It costs 27 tokens per session (2,547 once invoked), scanned A, original, Apache-2.0.

A skill that sends text from Hermes to a Windows laptop or Android device, where AgentVibes queues it for spoken playback.

In plain words
What is it for?
Use it to forward text over SSH to Windows or Android receivers that synthesize and play speech in order.
Why use it?
It allows an agent running remotely to speak through a separate device without waiting for audio playback to finish.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to forward text over SSH to Windows or Android receivers that synthesize and play speech in order.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/paulpreibisch/agentvibes/agentvibes-target
Install

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.

Any agent
npx skills add paulpreibisch/AgentVibes --skill agentvibes-target
Clone the repo
git clone --depth 1 https://github.com/paulpreibisch/AgentVibes

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for agentvibes-target

README.md
[![agentmods](https://agentmods.dev/badge/skills/paulpreibisch/agentvibes/agentvibes-target/github.svg)](https://agentmods.dev/skills/paulpreibisch/agentvibes/agentvibes-target)
Your own site
<a href="https://agentmods.dev/skills/paulpreibisch/agentvibes/agentvibes-target"><img src="https://agentmods.dev/badge/skills/paulpreibisch/agentvibes/agentvibes-target/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.

agentmods 80×15 button for agentvibes-target

Your own site · 80×15
<a href="https://agentmods.dev/skills/paulpreibisch/agentvibes/agentvibes-target"><img src="https://agentmods.dev/badge/skills/paulpreibisch/agentvibes/agentvibes-target.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,547 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 5 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Privilege Escalation · line 107
    Potential security issue detected. Manual review is recommended.
    Fix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
  • high Privilege Escalation · line 183
    Potential security issue detected. Manual review is recommended.
    Fix: Review the flagged content for security risks. Ensure no credentials, secrets, or sensitive data are exposed.
  • medium MCP Rug Pull · line 122
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 191
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
  • medium MCP Rug Pull · line 193
    npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.
    Fix: Pin the version: npx @scope/[email protected]
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00027 $0.02547
Opus 5 $0.00014 $0.01273
Sonnet 5 $0.00005 $0.00509
Haiku 4.5 $0.00003 $0.00255

Measured 5d ago against content hash abaa71ddfa11, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

agentvibes-target 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 5d 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.

docs/hermes/skills/agentvibes-target/SKILL.md · 218 lines

How it starts

The opening of the file, as written. The whole thing — 218 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AgentVibes TTS — Send Text to a Remote Device

Architecture

Hermes (VPS/Docker) --[SSH, base64]--> Windows receiver: $AGENTVIBES_RECEIVER_HOST:$AGENTVIBES_RECEIVER_PORT
                                  OR
                                       Android receiver: $AGENTVIBES_ANDROID_HOST:$AGENTVIBES_ANDROID_PORT

Windows: Piper TTS --> speakers
Android: Piper TTS --> speakers

AgentVibes uses a queue-based player: SSH call enqueues a base64-encoded TTS payload and returns immediately; a background worker handles synthesis and playback sequentially.

Two targets are supported:

  • Windows (primary) — user agentvibes-receiver, queue-based playback
  • Android — via Termux SSH receiver

How It Works

The receiver at $AGENTVIBES_RECEIVER_HOST:$AGENTVIBES_RECEIVER_PORT is an SSH server that accepts only base64-encoded JSON payloads — it does NOT execute shell commands and does NOT read from stdin/pty. You pass the base64 string as a command-line argument (not piped or sent via TTY), and it queues the text for TTS playback.

Critical: Do NOT pipe or TTY-send the payload — the receiver ignores stdin. The base64 string must appear as a plain argument after the user@host.

Payload format

The payload is a base64-encoded JSON object. All fields except text are optional — omit or leave empty to use the receiver's current defaults.

{
  "text":     "Words to speak aloud",
  "voice":    "en_US-libritts-high::Leo-8",
  "music":    "bachata",
  "volume":   "0.30",
  "effects":  "medium",
  "pretext":  "Hermes here, ",
  "speed":    "",
  "provider": "piper",
  "project":  "hermes"
}
Field What it controls Examples
text Text to speak Any string
voice Voice model and speaker en_US-libritts-high::Leo-8, en_US-jenny-medium
music Background music track bachata, chillwave, dreamy-house, "" = use default
volume Background music volume (0.0–1.0) "0.25", "0.40"
effects Reverb preset (Windows) or Sox string (Linux) "off", "light", "medium", "heavy", "cathedral"
pretext Spoken prefix prepended to text "Hermes here, ", "" = no prefix
speed Speech rate multiplier "1.2" = faster, "" = default
provider TTS engine "piper"
project Tag shown in receiver log "hermes"

Read the full file on GitHub · 218 lines

Changes

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.

  1. 5d ago First seen · 218 lines · 27 tokens per session scan A abaa71ddfa11

Subscribe to this mod's changes

agentvibes-target is a skill published in the GitHub repository paulpreibisch/AgentVibes (153 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 27 tokens to every session and 2,547 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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