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.
git clone --depth 1 https://github.com/eric861129/SKILLS_All-in-oneWrote 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/commands/eric861129/skills_all-in-one/generate-audio)<a href="https://agentmods.dev/commands/eric861129/skills_all-in-one/generate-audio"><img src="https://agentmods.dev/badge/commands/eric861129/skills_all-in-one/generate-audio/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/commands/eric861129/skills_all-in-one/generate-audio"><img src="https://agentmods.dev/badge/commands/eric861129/skills_all-in-one/generate-audio.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 | $0.00018 | $0.01028 |
| Opus 5 | $0.00009 | $0.00514 |
| Sonnet 5 | $0.00004 | $0.00206 |
| Haiku 4.5 | $0.00002 | $0.00103 |
Grade A, and why
generate-audio scanned grade A with 1 finding 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 6d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -s -X POST "https://api.deapi.ai/api/v1/client/txt2audio" \ Copies of this mod
1 near-identical copy found in the catalogue:
- generate-audio — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Text-to-Speech via deAPI
Generate audio from text: $ARGUMENTS
Step 1: Parse arguments
Extract from $ARGUMENTS:
text: The text to convert to speech (required)--voice: Voice ID (default:af_bella)
54+ voices in 8 languages. Voice ID format: {lang}{gender}_{name}
- Lang:
a=American,b=British,j=Japanese,z=Chinese,e=Spanish,f=French,h=Hindi,i=Italian,p=Portuguese - Gender:
f=female,m=male
Popular voices:
| Voice ID | Language | Description |
|---|---|---|
af_bella |
American EN | Warm, friendly (best quality) |
af_heart |
American EN | Expressive, emotional |
af_nicole |
American EN | Professional |
af_sarah |
American EN | Casual |
am_adam |
American EN | Deep, authoritative |
am_michael |
American EN | Energetic |
bf_emma |
British EN | Elegant (best British) |
bf_isabella |
British EN | Refined |
bm_george |
British EN | Sophisticated |
jf_alpha |
Japanese | Natural Japanese female |
zf_xiaobei |
Chinese | Mandarin female |
ef_dora |
Spanish | Spanish female |
ff_siwis |
French | French female (best quality) |
hf_alpha |
Hindi | Hindi female |
if_sara |
Italian | Italian female |
pf_dora |
Portuguese | Brazilian Portuguese female |
Full list: Kokoro VOICES.md
Step 2: Send request
curl -s -X POST "https://api.deapi.ai/api/v1/client/txt2audio" \
-H "Authorization: Bearer $DEAPI_API_KEY" \
-H "Content-Type: application/json" \
-d '{
"text": "{text}",
"voice": "{voice}",
"model": "Kokoro",
"lang": "{lang_code}",
"speed": 1.0,
"format": "mp3",
"sample_rate": 24000
}'
Parameters:
| Parameter | Default | Description |
|---|---|---|
lang |
auto from voice | Language code: en-us, en-gb, ja, zh, es, fr, hi, it, pt-br |
speed |
1.0 |
Speech speed (0.5-2.0) |
format |
mp3 |
Output format: mp3, wav, flac, ogg |
sample_rate |
24000 |
Sample rate: 22050, 24000, 44100, 48000 |
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.
- 6d ago First seen · 106 lines · 18 tokens per session scan A 68bb710c9590
generate-audio is a command published in the GitHub repository eric861129/SKILLS_All-in-one (52 stars, last pushed 4mo ago), licensed MIT. It adds 18 tokens to every session and 1,028 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other commands, from other repositories
show-off
Generate impressive multi-section HTML presentations with parallax, theme toggle, bilingual VI/EN — then auto-capture as 16:9, 9:16, 1:1 social-ready images.
codex-imagegen
Generate or edit an image via a Codex (codex exec) session — Codex's built-in imagegen tool does what your agent cannot.
extract-video-frames
Extract frames and audio segments from video files for agent review.
rust:tauri:screenshot
Capture a screenshot of a running Tauri application window.
elevenlabs-transcribe
Transcribe an audio/video file using ElevenLabs Scribe v2.
pac-validate
Validate Product as Code project structure and files for specification compliance.