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 SamarthaKV29/antigravity-god-mode --skill audio-transcribergit clone --depth 1 https://github.com/SamarthaKV29/antigravity-god-modeWrote 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/samarthakv29/antigravity-god-mode/audio-transcriber)<a href="https://agentmods.dev/skills/samarthakv29/antigravity-god-mode/audio-transcriber"><img src="https://agentmods.dev/badge/skills/samarthakv29/antigravity-god-mode/audio-transcriber/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/samarthakv29/antigravity-god-mode/audio-transcriber"><img src="https://agentmods.dev/badge/skills/samarthakv29/antigravity-god-mode/audio-transcriber.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 | $0.03963 |
| Opus 5 | $0.00009 | $0.01982 |
| Sonnet 5 | $0.00004 | $0.00793 |
| Haiku 4.5 | $0.00002 | $0.00396 |
Grade A, and why
audio-transcriber 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 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
result = subprocess.run( The source is not reproduced here
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What ships with it
6 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.
- 7d ago First seen · 559 lines · 18 tokens per session scan A 230b35ec8d80
audio-transcriber is a skill published in the GitHub repository SamarthaKV29/antigravity-god-mode (68 stars, last pushed 6mo ago), with no licence file. It adds 18 tokens to every session and 3,963 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
audio-transcriber
Transform audio recordings into professional Markdown documentation with intelligent summaries using LLM integration.
audio-transcriber
Transform audio recordings into professional Markdown documentation with intelligent summaries using LLM integration.
Audio Transcriber
Transform audio recordings into professional Markdown documentation with intelligent summaries using LLM integration.
audio-transcriber
Transform audio recordings into professional Markdown documentation with intelligent summaries using LLM integration.
audio-transcriber-knowledge-graph
Native knowledge-graph ingestion of Whisper transcripts on the audio-transcriber MCP server — transcribe an audio/video file and push it into the epistemic-graph in one call: the raw audio as a shared :MediaAsset blob, the transcript text as a :Document, and each Whisper segment as a :TranscriptSegment node linked…
audio-transcriber-transcription
Speech-to-text on the audio-transcriber MCP server — run Whisper (faster-whisper, falling back to openai-whisper) over a local audio/video file or a microphone recording, and export txt/srt/vtt/json captions. Use when the agent must transcribe or translate spoken audio, generate subtitle/caption files, or pick a…