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 agentmods add skills/itechmeat/llm-code/inworldnpx skills add itechmeat/llm-code --skill inworldgit clone --depth 1 https://github.com/itechmeat/llm-codeWhat 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 | $0.00066 | $0.00861 |
| Opus 5 | $0.00033 | $0.00430 |
| Sonnet 5 | $0.00013 | $0.00172 |
| Haiku 4.5 | $0.00007 | $0.00086 |
Grade B, and why
inworld scanned grade B with 2 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 2d 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.
Sends data to an external URLmediumData exfiltration
A POST to an outside endpoint may be telemetry or may be exfiltration; either way the mod talks to somewhere, and you should know where.
response = requests.post( "https://api.inworld.ai/tts/v1/voice", Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
response = requests.post( How it starts
The opening of the file, as written. The whole thing — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Inworld AI
Text-to-Speech platform with voice cloning, audio markups, and timestamp alignment.
Quick Navigation
| Topic | Reference |
|---|---|
| Installation | installation.md |
| Voice Cloning | cloning.md |
| Voice Control | voice-control.md |
| API Reference | api.md |
When to Use
- Text-to-speech audio generation
- Voice cloning from 5-15 seconds of audio
- Emotion-controlled speech (
[happy],[sad], etc.) - Word/phoneme timestamps for lip sync
- Custom pronunciation with IPA
Models
| Model | ID | Latency | Price |
|---|---|---|---|
| TTS-2 | inworld-tts-2 |
latest | see pricing |
| TTS 1.5 Max | inworld-tts-1.5-max |
legacy | legacy |
| TTS 1.5 Mini | inworld-tts-1.5-mini |
legacy | legacy |
Minimal Example
import requests, base64, os
response = requests.post(
"https://api.inworld.ai/tts/v1/voice",
headers={"Authorization": f"Basic {os.getenv('INWORLD_API_KEY')}"},
json={"text": "Hello!", "voiceId": "Ashley", "modelId": "inworld-tts-1.5-max"}
)
audio = base64.b64decode(response.json()['audioContent'])
Key Features
- 15 languages — en, zh, ja, ko, ru, it, es, pt, fr, de, pl, nl, hi, he, ar
- Instant cloning — 5-15 seconds audio, no training
- Audio markups —
[happy],[laughing],[sigh](English only) - Timestamps — word, phoneme, viseme timing for lip sync
- Streaming —
/voice:streamendpoint - TTS-2 steering — natural-language bracketed directions such as
[say excitedly]or[whisper in a hushed style] - Delivery mode —
STABLE,BALANCED,CREATIVEtrade consistency for emotional range - Cross-lingual synthesis — reuse one voice across multiple languages; voice localization improves native-sounding output
What ships with it
5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 2d ago First seen · 81 lines · 66 tokens per session scan B cea61dd1d120
inworld is a skill published in the GitHub repository itechmeat/llm-code (22 stars, last pushed 1mo ago), licensed MIT. It adds 66 tokens to every session and 861 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 2 findings (sends data to an external url, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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