Agent skill · Audited from source

Fish Audio

skill · vellum-ai/vellum-assistantMIT licenceAudited 14 Oct 2026 · source 19bc86343b63

★ 1,425pushed 1 day ago
✓SAFEGrade B · 89/100 · 14 Oct 2026 · 19bc863
1,425repo stars · whole vellum-ai/vellum-assistant

Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 19bc86343b63 and found no filesystem, network or shell access and no hard-coded secrets. What it does: Generate expressive audio clips using Fish Audio S2 TTS with bracket emotion tags. Record voice memos, narration, audio messages, or any spoken content.

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Cite this page

ModelsAtlas. “Fish Audio (vellum-ai/vellum-assistant)”. Retrieved 14 Oct 2026. https://modelsatlas.com/skills/vellum-ai/fish-audio

Trust audit

Audit 0.4.1 · source read 14 Oct 2026

Trust score89/100✓SAFE B
0 critical0 high0 medium5 low0 info

SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 13,985 of 14,816 audited skills.

What the source does

  • FilesystemNone observedNo reads or writes in the source
  • NetworkNone observedNo outbound calls in the source
  • ShellNone observedNo commands run in the source
  • DependenciesPinnedNothing floats
  • SecretsNone foundNo keys in source

Five audit layers

LayerWhat we checkResultFindings
L0 ProvenanceRepo owner, licence, archive status, activityPASS5
L1 Static sourceSecrets, path traversal, supply chain, hidden codeNA0
L2 InstructionsPrompt injection, authority framing, hidden directivesPASS0
L3 InventoryThe files and declarations match the sourcePASS0
L4 SandboxRun in isolation and watch behaviourSKIPPED why0

Gates applied: no behavioural pass.

Findings (5)

Audit 0.4.1 · source sha 19bc86343b63 · 14 Oct 2026Report an issue or request a re-scan

Provenance

Who published it, and what the verdict is pinned to

  • Publishervellum-ai GitHub organizationOwner of the repository this skill is read from
  • Source foldervellum-ai/vellum-assistant/skills/fish-audioThe exact folder we audited
  • LicenceMITAs the repository states it
  • Commit pinned for this verdict19bc86343b63A new audit runs when the source changes
  • Repository statusNot archivedLast push 1 day ago
  • Sandboxed runNot runSkills are read, not executed; layer L4 is skipped

What it tells the agent

Full source on GitHub ↗

Its description: Generate expressive audio clips using Fish Audio S2 TTS with bracket emotion tags. Record voice memos, narration, audio messages, or any spoken content.

---
name: fish-audio
description: "Generate expressive audio clips using Fish Audio S2 TTS with bracket emotion tags. Record voice memos, narration, audio messages, or any spoken content."
compatibility: "Designed for Vellum personal assistants"
metadata:
  emoji: "🎙️"
  vellum:
    category: "voice"
    display-name: "Fish Audio TTS"
---

# Fish Audio TTS

Generate expressive audio clips using the Fish Audio S2 TTS API with `[bracket]` emotion tags.

## Overview

This skill lets you create audio clips on demand — narration, announcements, podcast intros, dramatic readings, voice memos, or any spoken content. Uses Fish Audio S2 Pro with the full bracket syntax for emotional expressiveness.

## Configuration

- **API Endpoint:** `https://api.fish.audio/v1/tts`
- **Model:** `s2-pro`
- **Voice Reference ID:** Configured via `assistant config get services.tts.providers.fish-audio.referenceId`
- **API Key:** Stored as credential `fish-audio/api_key`
- **Default Format:** `mp3` at 192kbps
- **Default Output Directory:** `scratch/`

## API Key Setup

The Fish Audio API key must be stored securely via the credential store. Get an API key from the Fish Audio dashboard at https://fish.audio.

Check if the key is already configured:

```bash
assistant credentials inspect --service fish-audio --field api_key --json
```

If not set, collect it securely (never ask the user to paste it in chat):

```bash
assistant credentials prompt --service fish-audio --field api_key \
  --label "Fish Audio API Key" \
  --placeholder "sk-..." \
  --description "Enter your Fish Audio API key"
```

## Generating a Single Clip

Use `bash` with `curl` to call the Fish Audio API:

```bash
curl -s -X POST "https://api.fish.audio/v1/tts" \
  -H "Authorization: Bearer $(assistant credentials reveal --service fish-audio --field api_key)" \
  -H "Content-Type: application/json" \
  -H "model: s2-pro" \
  -d '{
    "text": "YOUR TEXT WITH [bracket] TAGS HERE",
    "reference_id": "'"$(assistant config get services.tts.providers.fish-audio.referenceId)"'",
    "format": "mp3",
    "mp3_bitrate": 192,
    "temperature": 0.8
  }' --output scratch/OUTPUT_FILENAME.mp3
```

**Important:** This API call requires network access. Always use `network_mode: proxied` when running this command.

## Generating Multiple Clips & Combining

For longer pieces (narrations, multi-part messages), generate each clip separately then combine with ffmpeg:

### 1. Generate silence for gaps between clips

```bash
ffmpeg -f lavfi -i anullsrc=r=44100:cl=mono -t 1.5 -q:a 9 -acodec libmp3lame scratch/silence.mp3 -y
```

### 2. Create a concat file

```bash
cat > scratch/concat.txt << 'EOF'
file 'clip1.mp3'
file 'silence.mp3'
file 'clip2.mp3'
file 'silence.mp3'
file 'clip3.mp3'
EOF
```

### 3. Combine

```bash
ffmpeg -f concat -safe 0 -i scratch/concat.txt -c copy scratch/final_output.mp3 -y
```

## Bracket Syntax — Complete Guide

Fish Audio S2 uses `[bracket]` syntax for inline emotion and prosody control. This is the core of what makes the voice expressive. Tags are natural-language instructions placed directly in the text that control how words are spoken — the delivery, emotion, pacing, or vocal quality at that exact point.

**Key principle:** You are not choosing from a fixed menu. You write the description, and S2 interprets it. If you can describe it to a voice actor, S2 can attempt it. Over 15,000+ unique tags are supported, and the system understands free-form descriptions.

### How Placement Works

Tags affect what comes **after** them. Place the tag at the **exact point** where the shift should happen. Placement IS meaning.

```
[whispering] I didn't want to go inside.     <- whispers the entire line
I didn't want to go [whispering] inside.     <- only whispers from "inside" onward
```

Tags can go **anywhere** — start, middle, or end of a sentence. They apply from the point they appear until the next tag or end of the sentence.

### Well-Tested Tags (Reliable Out of the Box)

These tags consistently produce strong results. Organized by category:

#### Emotions

| Tag             | Effect                  | Best For                    |
| --------------- | ----------------------- | --------------------------- |
| `[happy]`       | Cheerful, upbeat        | Good news, greetings        |
| `[sad]`         | Melancholic, downcast   | Sympathy, vulnerability     |
| `[angry]`       | Frustrated, aggressive  | Arguments, complaints       |
| `[excited]`     | Energetic, enthusiastic | Celebrations, announcements |
| `[surprised]`   | Shocked, amazed         | Reactions, discoveries      |
| `[embarrassed]` | Awkward, flustered      | Mistakes, confessions       |
| `[delight]`     | Very pleased, joyful    | Genuine happiness           |
| `[nervous]`     | Anxious, uncertain      | Vulnerability, apologies    |
| `[confident]`   | Assertive, self-assured | Bold statements             |
| `[nostalgic]`   | Longing for the past    | Memories, stories           |
| `[scared]`      | Frightened, fearful     | Warnings, tension           |
| `[jealous]`     | Envious, resentful      | Comparisons, possessiveness |
| `[shocked]`     | Sudden realization      | Dramatic reveals            |
| `[moved]`       | Emotionally touched     | Heartfelt moments           |

#### Voice Quality & Style

| Tag                    | Effect               | Best For                   |
| ---------------------- | -------------------- | -------------------------- |
| `[soft]`               | Gentle, tender       | Intimate moments, kindness |
| `[whisper]`            | Very quiet, close    | Secrets, tension, suspense |
| `[breathy]`            | Airy, expressive     | Vulnerability, emphasis    |
| `[low voice]`          | Deep, quiet register | Gravity, seriousness       |
| `[loud]`               | Raised volume        | Emphasis, excitement       |
| `[screaming]`          | Full volume yelling  | Anger, extreme excitement  |
| `[shouting]`           | Forceful projectio

Excerpt, first 6,001 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.

Install

Pinned to the audited commit 19bc863

Download folder ↗
git clone https://github.com/vellum-ai/vellum-assistant
git -C vellum-assistant checkout 19bc86343b63

The author documents no install command, so this uses the repository directly. Our verdict covers commit 19bc86343b63 only.

Works in

The author has not said which agents this skill supports, and we have not tested it in any.

Audit history

Every audit, every source change

  1. ✓SAFE B 89 / 100

    first audit · source 19bc86343b63

README badge

For maintainers · shows the latest audit

ModelsAtlas: SAFE BMODELSATLASSAFE · B
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Questions about Fish Audio

What does the Fish Audio skill do?
An AI Assistant that’s easy to setup, does your work 24/7, knows your preferences and gets better over time.
Is Fish Audio safe to install?
The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.
What can Fish Audio access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (19bc86343b63), read on 2026-10-14. The repository is watched, and a new audit runs when it changes — this is the first audit.

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