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 paulpreibisch/AgentVibes --skill agentvibes-targetgit clone --depth 1 https://github.com/paulpreibisch/AgentVibesWrote 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/paulpreibisch/agentvibes/agentvibes-target)<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.
<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>- NVIDIA SkillSpector warn
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]
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 | $0.00027 | $0.02547 |
| Opus 5.5 | $0.00011 | $0.01019 |
| Sonnet 5.5 | $0.00005 | $0.00509 |
| Haiku 4.5 | $0.00003 | $0.00255 |
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 1mo 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 — 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" |
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.
- 1mo ago First seen · 218 lines · 27 tokens per session scan A abaa71ddfa11
agentvibes-target is a skill published in the GitHub repository paulpreibisch/AgentVibes (157 stars, last pushed 11d ago), licensed Apache-2.0. It adds 27 tokens to every session and 2,547 once invoked, about $0.0001 per session on Opus 5.5. 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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