Borrowing it
Nothing to install: this file belongs to philipyaz/cos. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/philipyaz/cos/main/.claude/skills/voice-operations/SKILL.mdgit clone --depth 1 https://github.com/philipyaz/cosWrote 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/philipyaz/cos/voice-operations)<a href="https://agentmods.dev/skills/philipyaz/cos/voice-operations"><img src="https://agentmods.dev/badge/skills/philipyaz/cos/voice-operations/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/philipyaz/cos/voice-operations"><img src="https://agentmods.dev/badge/skills/philipyaz/cos/voice-operations.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 | $0.00090 | $0.01532 |
| Opus 5.5 | $0.00036 | $0.00613 |
| Sonnet 5.5 | $0.00018 | $0.00306 |
| Haiku 4.5 | $0.00009 | $0.00153 |
Grade A, and why
voice-operations 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 — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Voice operations — read OpenWhispr notes & own the watermark
The openwhispr MCP exposes your OpenWhispr voice transcripts (a local SQLite DB + per-note
.webm audio) read-only, and owns the watermark that makes voice processing idempotent. It is
the read + watermark layer; it does not route anything (turning a note into a vault page or a board
case is /second-brain-ingest's
job). Four tools: list_transcripts, get_transcript, get_watermark, mark_processed.
The tools
list_transcripts(limit?, since?, includeProcessed?)— lists{ id, created, preview }, with a🎙 <file>marker per note's audio. By default returns only UNPROCESSED notes (those sorting after the watermark).includeProcessed: trueignores the watermark and returns everything (browse mode).sincefilters to notes created strictly after a time (interpreted on the local clock — a trailingZ/offset is ignored).limitcaps the count: when the watermark is honored it keeps the oldest unprocessed notes (so a backlog drains in order); when browsing it keeps the most-recent. Watch for the integrity flags⚠ audio file missingand⚠ orphan audio (no transcript row).get_transcript(id)— the fulltextplus metadata:created,has_audio,audio_path(the absolute path to the.webm, so you can fetch the real audio),audio_duration_ms,provider,model,status, andaudio_missing: trueif the recording is gone. Also reports whether the note is already processed. An unknownidreturns a clean tool error.get_watermark()—{ id, created }of the last note marked processed (bothnullif the loop has never run), plus the state-file path. Use it to see where the cursor sits.mark_processed(id)— advances the watermark to that note's{ id, created }. After this,list_transcriptsskips that note and anything older. This is the only state-changing tool — the whole reason the server exists (OpenWhispr has no native "mark read").
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 First seen · 87 lines · 90 tokens per session scan A ad75252d4981
voice-operations is a skill published in the GitHub repository philipyaz/cos (4 stars, last pushed 2d ago), licensed MIT. It adds 90 tokens to every session and 1,532 once invoked, about $0.0004 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 2026-08-31.
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