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 instructions/vimalk78/dictate/claude-mdgit clone --depth 1 https://github.com/vimalk78/dictateWhat 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 | $0.01827 | $0.01827 |
| Opus 5 | $0.00914 | $0.00914 |
| Sonnet 5 | $0.00365 | $0.00365 |
| Haiku 4.5 | $0.00183 | $0.00183 |
Grade A, and why
dictate CLAUDE.md 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 2d 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 — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
What is this
Dictate is a voice-to-text tool for Claude Code on Linux. It records speech using faster-whisper and outputs text via clipboard or stdout. Supports local transcription or forwarding audio to a remote GPU server over TCP. Single Python script (dictate), no build system.
Development
Running locally
bash install.sh # full install (system deps, venv, launcher)
bash install-service.sh # install and start systemd services
bash update.sh # update after code changes (no venv rebuild)
dictate --serve & # start daemon (keeps Whisper model in memory)
dictate --once # send one request to daemon, print text
dictate # standalone push-to-talk mode (no daemon)
# Network transcription (remote GPU)
dictate --serve --listen 0.0.0.0:5555 # on GPU machine: headless transcription server
dictate --serve --server GPU_IP:5555 # on laptop: daemon forwarding to remote
dictate --once # client unchanged
After install, reboot or re-login once for input group membership (required for evdev access).
After code changes, run bash update.sh to deploy — it copies the script, service files, and restarts services. No venv rebuild needed.
Testing
No test suite. Manual testing:
dictate --serve & # start daemon
dictate --once # test transcription
dictate --cpu --model small # test CPU-only inference
dictate --list-devices # verify audio device detection
dictate --stop # stop daemon
# Network transcription
dictate --serve --listen 0.0.0.0:5555 # start remote server
dictate --serve --server 127.0.0.1:5555 # start forwarding daemon
dictate --once # test end-to-end
Test local daemon, network forwarding, and push-to-talk separately — they share audio and transcription code but have different I/O paths.
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.
- 2d ago First seen · 141 lines · 1,827 tokens per session scan A 7139323b7bf5
dictate CLAUDE.md is an instructions file published in the GitHub repository vimalk78/dictate (20 stars, last pushed 4mo ago), licensed MIT. It adds 1,827 tokens to every session, about $0.0091 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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