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 Elumenotion/GuideAnts --skill audiocpp-asrgit clone --depth 1 https://github.com/Elumenotion/GuideAntsWrote 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/elumenotion/guideants/audiocpp-asr)<a href="https://agentmods.dev/skills/elumenotion/guideants/audiocpp-asr"><img src="https://agentmods.dev/badge/skills/elumenotion/guideants/audiocpp-asr/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/elumenotion/guideants/audiocpp-asr"><img src="https://agentmods.dev/badge/skills/elumenotion/guideants/audiocpp-asr.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 | $0.00064 | $0.00586 |
| Opus 5.5 | $0.00026 | $0.00234 |
| Sonnet 5.5 | $0.00013 | $0.00117 |
| Haiku 4.5 | $0.00006 | $0.00059 |
Grade A, and why
audiocpp-asr-extended 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 1mo 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.
This is a copy
100% identical to audiocpp-asr-extended — 72 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
audio.cpp extended ASR (experimental)
Paths — fixed layout, do not probe or re-derive. The sandbox CWD is the
notebook's output directory. This skill's scripts live under
Skills/audiocpp-asr/scripts/ relative to it. Write deliverables with
bare filenames; never prefix with Output/.
Product ASR is multipart upload with no language control. This skill stages the
file (/files) then calls raw /asr/v1/audio/transcriptions on the GPU host.
Environment (required for PC → the GPU host)
AUDIOCPP_SKILL_BASE_URL=http://<gpu-host-lan-ip>:8112/audiocpp-skill
AUDIOCPP_SKILL_TOKEN=<same as the GPU host GA_AUDIOCPP_SKILL_TOKEN>
An ASR model must already be loaded on the GPU host (GuideAnts Settings → Local models / API lifecycle).
Preflight
python3 Skills/audiocpp-asr-extended/scripts/preflight.py --for asr-extended
Trust its verdict. With the gateway env set, it checks GPU host ASR via the gateway (not sandbox loopback).
Transcribe
python3 Skills/audiocpp-asr-extended/scripts/engine_tool.py transcribe \
uploads/clip.wav [--language de]
The script stages the file on the GPU host and returns JSON text. Engine model id is
always qwen3-asr. Prefer WAV; other formats may need ffmpeg conversion first.
Sideload (advanced)
Fetching a non-catalog qwen3-family snapshot downloads onto the GPU host under
/models-local/skill/asr/…. Loading it into the product ASR wrapper still
requires GPU host-side /asr/admin/load (and replaces the user’s loaded model) —
ask before doing that; prefer Settings / API lifecycle for durable loads.
python3 Skills/audiocpp-asr-extended/scripts/fetch_model.py <hf-repo-id> \
--dest /models-local/asr/<DirName>
Related
Speaker-labeled transcripts: audiocpp-diarize.
Reporting
End by telling the user what worked and what was blocked, quoting preflight evidence.
What ships with it
4 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.
- 1mo ago Changed · -10 lines · -24 tokens per session 7b01056dcbdd
- 1mo ago First seen · 79 lines · 88 tokens per session scan A 948263528783
audiocpp-asr-extended is a skill published in the GitHub repository Elumenotion/GuideAnts (65 stars, last pushed 2d ago), licensed Apache-2.0. It adds 64 tokens to every session and 586 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to audiocpp-asr-extended, differing in 72 lines, and is treated as a copy.
Other skills, from other repositories
example-feature-generator
Generate boilerplate for new features following project conventions. Use when user says "create feature", "add feature", or "new feature scaffolding".
Vizra ADK Memory System
Implement persistent memory, session context, and vector memory (RAG) for AI agents.
agent-flutter-developer
Specialist subagent: Flutter/Dart cross-platform development, Riverpod state management, and platform channels specialist. Use when building Flutter apps, implementing state management, or working with native platform features. Trigger phrases: Flutter, Dart, Riverpod, Bloc, widget, MaterialApp, GoRouter, platform…
electron-desktop
Desktop application development with Electron for Windows, macOS, and Linux. Use when building cross-platform desktop apps, implementing native OS features, or packaging web apps for desktop.
investment-memo-generator
Investment memo creation combining financial analysis, document generation, and structured templates. Use when creating investment memos, pitch decks, deal summaries, or investment committee materials.
agent-seo-specialist
Specialist subagent: Technical SEO, structured data, Core Web Vitals, meta tags, and Schema.org specialist. Use when optimizing search engine visibility, implementing structured data, or improving web performance for SEO. Trigger phrases: SEO, meta tags, Open Graph, Schema.org, structured data, sitemap, robots.txt…