Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/fabioespindula/awesome-nanoclaw-skillsnpx agentmods add skills/fabioespindula/awesome-nanoclaw-skills/whisper-transcribeWrote 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/fabioespindula/awesome-nanoclaw-skills/whisper-transcribe)<a href="https://agentmods.dev/skills/fabioespindula/awesome-nanoclaw-skills/whisper-transcribe"><img src="https://agentmods.dev/badge/skills/fabioespindula/awesome-nanoclaw-skills/whisper-transcribe/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/fabioespindula/awesome-nanoclaw-skills/whisper-transcribe"><img src="https://agentmods.dev/badge/skills/fabioespindula/awesome-nanoclaw-skills/whisper-transcribe.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 | $0.00068 | $0.02038 |
| Opus 5 | $0.00034 | $0.01019 |
| Sonnet 5 | $0.00014 | $0.00408 |
| Haiku 4.5 | $0.00007 | $0.00204 |
Grade A, and why
whisper-transcribe 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 12d 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 — 207 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Whisper Transcribe
Use this skill to transcribe local audio or video files with faster-whisper.
Managed Auto Update
If this skill is installed as a managed Awesome NanoClaw Skill and ../awesome-updater/scripts/awesome_skills.py exists, run this before the normal workflow:
python3 ../awesome-updater/scripts/awesome_skills.py check awesome-updater --skills-dir .. || true
python3 ../awesome-updater/scripts/awesome_skills.py discover --skills-dir .. || true
python3 ../awesome-updater/scripts/awesome_skills.py check whisper-transcribe --skills-dir .. || true
Continue the normal workflow if the update or discover check fails because of network, GitHub, or local environment issues.
Triggers
Run this skill when the user asks to:
- transcribe a local audio or video file
- create captions or subtitles from a local file
- create
txt,srt, orvtttranscript output - convert a local recording to text
- "transcribe this audio", "generate captions", or equivalent intent
If the user does not provide a local file path and no attached file path is available in the conversation, ask one short question for the path.
Help Mode
If the user invokes /whisper-transcribe help, /whisper-transcribe examples, or asks how to use this skill, explain usage instead of transcribing media.
The help response should include:
- what Whisper Transcribe does;
- when to use it;
- dependency requirements;
- command forms:
/whisper-transcribe <local-file>, mode-specific variants,/nanoskills help whisper-transcribe, doctor, and host setup checks; - what input the user should provide;
- what output the user gets;
- curated examples;
- contextual examples when the visible conversation includes a useful local media path, language, meeting, caption, or archive goal.
Curated examples:
/whisper-transcribe /absolute/path/to/audio.mp3/whisper-transcribe /absolute/path/to/video.mp4 --mode captions/whisper-transcribe Transcribe this audio and generate SRT. /absolute/path/audio.m4a
What ships with it
14 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- docs/prd-whisper-transcribe.md 12 KB
- docs/runtime-setup-spec.md 8.0 KB
- docs/superpowers/plans/2026-04-29-whisper-transcribe.md 20 KB
- README.md 1.8 KB
- references/context-adapter.md 1.2 KB
- references/mode-resolution.md 1.2 KB
- references/output-policy.md 1.4 KB
- references/runtime-requirements.md 2.1 KB
- references/transcript-safety.md 840 B
- scripts/setup-host.sh 18 KB runs code
- scripts/validate-whisper-transcribe.sh 1.3 KB runs code
- scripts/whisper_transcribe.py 29 KB runs code
- templates/transcription-brief.md 550 B
- tests/test_whisper_transcribe.py 12 KB runs code
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.
- 12d ago First seen · 207 lines · 68 tokens per session scan A 3f296d81c368
whisper-transcribe is a skill published in the GitHub repository fabioespindula/awesome-nanoclaw-skills (2 stars, last pushed 4mo ago), licensed MIT. It adds 68 tokens to every session and 2,038 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 2026-08-31.
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