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-diarizegit 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-diarize)<a href="https://agentmods.dev/skills/elumenotion/guideants/audiocpp-diarize"><img src="https://agentmods.dev/badge/skills/elumenotion/guideants/audiocpp-diarize/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-diarize"><img src="https://agentmods.dev/badge/skills/elumenotion/guideants/audiocpp-diarize.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00081 | $0.00884 |
| Opus 5.5 | $0.00032 | $0.00354 |
| Sonnet 5.5 | $0.00016 | $0.00177 |
| Haiku 4.5 | $0.00008 | $0.00088 |
Grade A, and why
audiocpp-diarize 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.
How it starts
The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
audio.cpp speaker diarization (experimental)
GuideAnts has no local diarization (only its Azure cloud transcription provider
does it), but the container's audiocpp_server binary ships the
sortformer_diar loader and a generic /v1/tasks/run route. This skill
downloads the model once, spawns a private engine, and turns any recording into
a speaker-labeled transcript. Deliverables land in Output/; the live voice
path is untouched. E2E-verified in this stack (2026-07-15).
Preflight
python3 Skills/audiocpp-diarize/scripts/preflight.py --for diarize
Trust its verdict over this document. It also tells you whether the model is already on disk (skip the download) and whether ASR labeling is available.
The recipe
# 1. Download the model — skip if preflight says modelAlreadyDownloaded
python3 Skills/audiocpp-diarize/scripts/fetch_model.py nvidia/diar_sortformer_4spk-v1 \
--dest /models-local/asr/diar_sortformer_4spk-v1 --exclude diar_sortformer_4spk-v1.nemo
# 2. Spawn the private engine (loads in seconds; ~494 MB weights, fits next to
# the wrappers' models without an unload)
python3 Skills/audiocpp-diarize/scripts/spawn_engine.py start \
--path /models-local/asr/diar_sortformer_4spk-v1 --family sortformer_diar --task diar
# 3. Diarize (any ffmpeg-decodable input)
python3 Skills/audiocpp-diarize/scripts/diarize.py meeting.mp3 -o meeting
# 4. Always stop the engine when done
python3 Skills/audiocpp-diarize/scripts/spawn_engine.py stop
diarize.py converts the input to the 16 kHz mono WAV the engine requires
(the raw engine does not resample), fetches speaker turns, merges/filters them,
and — when the GuideAnts ASR engine is up — transcribes each turn. Outputs:
<base>.transcript.txt (speaker-labeled, timestamped) and
<base>.diarization.json (structured turns with confidences).
Options that matter
--turns-only— skip ASR labeling (or it degrades to this automatically, with a note, when no ASR model is loaded).--language <hint>— passed to the ASR engine per turn.--merge-gap-seconds/--min-turn-seconds— shape the output without touching the engine.- Engine-side tuning needs a re-spawn with e.g.
--option speaker_threshold=0.4(also:speaker_min_frames,speaker_pad_frames,session_len_sec).
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 a588fb57c6ff
- 1mo ago First seen · 78 lines · 81 tokens per session scan A 861902882154
audiocpp-diarize is a skill published in the GitHub repository Elumenotion/GuideAnts (65 stars, last pushed 2d ago), licensed Apache-2.0. It adds 81 tokens to every session and 884 once invoked, about $0.0003 per session on Opus 5.5. 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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