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 agentmods add skills/kdr/overcast/overcast-wiretapnpx skills add kdr/overcast --skill overcast-wiretapgit 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-wiretap)<a href="https://agentmods.dev/skills/kdr/overcast/overcast-wiretap"><img src="https://agentmods.dev/badge/skills/kdr/overcast/overcast-wiretap.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 | $0.00042 | $0.01525 |
| Opus 5 | $0.00021 | $0.00763 |
| Sonnet 5 | $0.00008 | $0.00305 |
| Haiku 4.5 | $0.00004 | $0.00153 |
Grade A, and why
overcast-wiretap 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 5d 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 — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
overcast-wiretap
Use this skill to analyze audio recordings you already hold (a call, a voicemail, a
field recording): how many people speak, what the background reveals about where it
was recorded, and whether two clips share a voice or a phrase. Use the broad
overcast skill and overcast/reference/verbs.md for exact flags.
Workflow
- Transcribe the recording and read its background scene on the default
backend.
--describesurfaces the whole audio scene (traffic, trains, a PA announcement, church bells) — the "enhance the background noise" move that places a recording — and is a tinycloud/Cloudglue multimodal feature, so do all the transcript/describe work FIRST, before binding any speech-only provider:
overcast doctor --json
overcast case init --json
overcast listen ./call.wav --json # speech transcript + time-anchored segments
overcast listen ./call.wav --describe --json # background audio scene (tinycloud describe)
overcast view ./call.wav --spectrogram --json # visual inspection artifact (tones, hums, edits)
- Isolate voices from noise and re-transcribe the cleaned track — a second pass often recovers words the first missed:
overcast enhance ./call.wav --ops voice-isolate,denoise --json # bundled-ffmpeg filter (fast, lossy)
overcast enhance ./call.wav --ops separate --json # true source separation → a track per speaker
# (local pyannote: scripts/visual-db-uv.sh --voice + HF_TOKEN, or fal)
overcast listen <enhanced-record-id> --json
- Separate the speakers.
--diarizeneeds a diarize-capable listen provider (the default tinycloud/Cloudgluelistenis speech-transcript only and rejects--diarize). Bind ElevenLabs for this — but do it LAST, after the describe / multimodal steps above, because ElevenLabs Scribe is speech-only and drops the audio-scene describe:
overcast provider setup apply --verb listen --choice elevenlabs --yes --json
overcast listen ./call.wav --diarize --json # -> <diarize-record-id> (speaker-labeled)
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.
- 5d ago First seen · 122 lines · 42 tokens per session scan A 1381571cab99
overcast-wiretap is a skill published in the GitHub repository kdr/overcast (16 stars, last pushed 2d ago), licensed Apache-2.0. It adds 42 tokens to every session and 1,525 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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