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 kdr/overcast --skill overcast-voiceprintgit clone --depth 1 https://github.com/kdr/overcastWrote 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/kdr/overcast/overcast-voiceprint)<a href="https://agentmods.dev/skills/kdr/overcast/overcast-voiceprint"><img src="https://agentmods.dev/badge/skills/kdr/overcast/overcast-voiceprint.svg" alt="Measured on agentmods" 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 | $0.00055 | $0.00927 |
| Opus 5 | $0.00028 | $0.00464 |
| Sonnet 5 | $0.00011 | $0.00185 |
| Haiku 4.5 | $0.00006 | $0.00093 |
Grade A, and why
overcast-voiceprint 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 8d 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 — 81 lines — stays where its author put it; the contents beside it link to each section on GitHub.
overcast-voiceprint
Use this skill to answer "is this the same speaker, and where do they talk?" with
the local voice-print DB (pyannote/wespeaker speaker embeddings — no media
leaves the case, ungated windowed default). It verifies a VOICE, not a phrase. Use
the broad overcast skill and overcast/reference/verbs.md for exact flags.
Prerequisites
overcast doctor --json # confirm uv + visual-db (pyannote) are ready
scripts/visual-db-uv.sh --voice # install pyannote.audio (once per machine)
overcast case init --json
overcast index create voices --type voice-print --local --json
Workflow
- Enroll the reference speaker (and any known recordings).
voice addembeds the clip's voiced windows into the index:
overcast voice add ./known-speaker.wav --index voices --json # the reference person
overcast voice add ./interview.m4a --index voices --json # other recordings to search
- Rank WHERE the reference speaker talks inside a clip (pairwise, windowed scan).
voice match <clip> <sample>scans<clip>for the<sample>speaker;--diarizeupgrades to overlap-aware diarize-then-match (HF_TOKEN + accepted pyannote license, windowed fallback if ungated):
overcast voice match ./call.wav ./known-speaker.wav --json # where in call.wav does the sample speaker talk?
overcast voice match ./call.wav ./known-speaker.wav --diarize --min-margin 10 --json # overlap-aware; gate on margin
- Rank WHICH enrolled recordings contain the reference speaker (index search):
overcast voice match ./known-speaker.wav --index voices --json # members ranked by the speaker's presence
- Read the score honestly and corroborate before concluding.
similarityis an anchored-cosine 0–100 RANK score (never 0–1) plus a rawcosine;--min-margingates best-vs-runner-up. Corroborate with content (alistentranscript) before naming anyone, then promote through triage:
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.
- 8d ago First seen · 81 lines · 55 tokens per session scan A 194d1f4d38b7
overcast-voiceprint is a skill published in the GitHub repository kdr/overcast (16 stars, last pushed 5d ago), licensed Apache-2.0. It adds 55 tokens to every session and 927 once invoked, about $0.0003 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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