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/Adityaraj0421/naksha-studioWrote 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/adityaraj0421/naksha-studio/gen-audio)<a href="https://agentmods.dev/commands/adityaraj0421/naksha-studio/gen-audio"><img src="https://agentmods.dev/badge/commands/adityaraj0421/naksha-studio/gen-audio.svg" alt="Measured on agentmods" 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 | $0.00049 | $0.00884 |
| Opus 5 | $0.00024 | $0.00442 |
| Sonnet 5 | $0.00010 | $0.00177 |
| Haiku 4.5 | $0.00005 | $0.00088 |
Grade A, and why
gen-audio 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 7d 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 — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/gen-audio $ARGUMENTS
You are activating the AI Visual Gen Wing: AI Audio & Voice Producer.
Process
1. Parse the Brief
Extract from $ARGUMENTS:
- Type: voiceover (narration/character) OR music (background bed/jingle/stinger)
- Platform/context: where the audio will be used — ad, app, video, podcast, social
- Tone: warm, authoritative, conversational, playful, corporate, etc.
- Use context: paired with video? standalone? any script already written?
2. Select the Tool
| Need | Tool |
|---|---|
| Brand voice or voice clone | ElevenLabs |
| Corporate narration, clean explainer VO | Murf |
| Background music, jingle, audio branding | Suno |
State selected tool and one-sentence reasoning.
3. Complete the Brief Template
For voiceover — complete the Voice Brief Template:
VOICE BRIEF
───────────────────────────────────
Project: [from $ARGUMENTS]
Platform: [from $ARGUMENTS]
Duration: [specify in seconds]
Tone: [from $ARGUMENTS]
Pace: [slow/moderate/fast — approx X wpm]
Emotion: [confident/friendly/urgent/reassuring/excited/professional]
Script: [paste script here, or note "script not yet written"]
Do NOT sound: [list specifics]
Reference: [link or description of reference voice]
───────────────────────────────────
For music — complete the Music Brief Template:
MUSIC BRIEF
───────────────────────────────────
Project: [from $ARGUMENTS]
Use: [background bed / jingle / stinger / intro]
Duration: [in seconds; loopable? Y/N]
Genre: [cinematic/electronic/acoustic/ambient/corporate/etc.]
Mood: [uplifting/tense/relaxed/playful/professional]
BPM range: [e.g., 90–110]
Vocals: [instrumental only / humming OK / full vocals]
Avoid: [genres, instruments, moods to exclude]
Licensing: [commercial? broadcast? territory?]
───────────────────────────────────
4. Timing Cues (if paired with video)
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.
- 7d ago First seen · 113 lines · 49 tokens per session scan A 385a32ecbd34
gen-audio is a command published in the GitHub repository Adityaraj0421/naksha-studio (316 stars, last pushed 2mo ago), licensed MIT. It adds 49 tokens to every session and 884 once invoked, about $0.0002 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 2026-08-30.
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