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 commands/crisng95/flowkit/fk-import-voicegit clone --depth 1 https://github.com/crisng95/flowkitWhat 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 | $0.00000 | $0.01007 |
| Opus 5 | $0.00000 | $0.00504 |
| Sonnet 5 | $0.00000 | $0.00201 |
| Haiku 4.5 | $0.00000 | $0.00101 |
Grade A, and why
fk-import-voice scanned grade A with 1 finding 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 3d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- GLA server running: `curl http://127.0.0.1:8100/health` How it starts
The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.
fk-import-voice — Import Existing Voice as Template
Register an existing WAV file as a reusable voice template for narration. Auto-transcribes the audio and registers it in the template system.
When to Use
- You have a real voice recording (WAV) you want to use for narration
- You want to clone a specific voice rather than designing one with
instruct - Complementary to
/fk-gen-tts-templatewhich creates synthetic voices
Prerequisites
- GLA server running:
curl http://127.0.0.1:8100/health faster-whisperinstalled in/opt/homebrew/bin/python3.10- WAV file placed in
output/_shared/tts_templates/
Workflow
Step 1: Locate the WAV file
ls -la output/_shared/tts_templates/*.wav
The user should have already placed their WAV file here. File should be:
- Format: WAV (any encoding — pcm_s16le, pcm_f32le, etc.)
- Duration: 3-10s ideal for voice cloning
- Content: Clear speech, minimal background noise
Step 2: Transcribe with faster-whisper
Use large-v3 model for accurate transcription. Always use /opt/homebrew/bin/python3.10 — it has torch + faster-whisper installed.
/opt/homebrew/bin/python3.10 -c "
from faster_whisper import WhisperModel
model = WhisperModel('large-v3', device='cpu')
segments, info = model.transcribe('<WAV_PATH>', beam_size=5)
print(f'Language: {info.language} ({info.language_probability:.0%})')
for seg in segments:
print(seg.text.strip())
" 2>&1 | grep -v '\[ctranslate2\]'
IMPORTANT: This runs on CPU and takes ~60s for large-v3 model loading + transcription. Be patient.
Show the transcript to the user and ask them to confirm or correct it. Accurate ref_text is critical for voice cloning quality.
Step 3: Register template in templates.json
After user confirms transcript:
python3 -c "
import json
from pathlib import Path
templates_dir = Path('output/_shared/tts_templates')
meta_file = templates_dir / 'templates.json'
wav_path = str(templates_dir / '<FILENAME>.wav')
meta = json.loads(meta_file.read_text()) if meta_file.exists() else {}
meta['<TEMPLATE_NAME>'] = {
'name': '<TEMPLATE_NAME>',
'audio_path': wav_path,
'text': '<CONFIRMED_TRANSCRIPT>',
'instruct': '<VOICE_DESCRIPTION>',
'duration': <DURATION>,
}
meta_file.write_text(json.dumps(meta, indent=2, ensure_ascii=False))
print('Template registered')
"
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.
- 3d ago First seen · 116 lines · 0 tokens per session scan A 4b97824242a6
fk-import-voice is a command published in the GitHub repository crisng95/flowkit (620 stars, last pushed 15d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,007 tokens. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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