Case 02949

Skill knownasnaffy/prompthound/dataset/case_02949

A fast, offline static risk analysis CLI for AI agent skill files. Detects malicious instructions, steganographic payloads, and dangerous capability chains.

Install

npx -y skills add knownasnaffy/prompthound --skill case_02949

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

2 things to look at

no licenseNo license file was found in the repository. Code published without one is not open source by default, so using it at work is a question for whoever answers licensing questions where you are.
0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Transcribe audio using a deployed Cloudflare Worker Whisper endpoint. Use when converting voice/audio files (wav, mp3, m4a, ogg, webm) to text through the custom /transcribe API, including bearer-token auth, plain-text extraction, and quick CLI transcription workflows.

SKILL.md

1.6 KB, 384 tokens by cl100k_base, as published. Nobody here has run it

Cloudflare Whisper Worker

Use this skill to transcribe audio through the deployed Whisper Worker API.

Endpoint

Base URL: https://lotfi-whisper-worker.medtouradmin.workers.dev
Route: POST /transcribe
Auth: Authorization: Bearer <API_TOKEN>
Body: raw audio bytes (--data-binary @file)

Required environment variable

Set token once per shell:

export WHISPER_WORKER_TOKEN="<your_token>"

Transcribe a file (JSON response)

curl -sS -X POST "https://lotfi-whisper-worker.medtouradmin.workers.dev/transcribe" \
  -H "content-type: audio/wav" \
  -H "authorization: Bearer $WHISPER_WORKER_TOKEN" \
  --data-binary "@audio.wav"

Transcribe and return only text

curl -sS -X POST "https://lotfi-whisper-worker.medtouradmin.workers.dev/transcribe" \
  -H "content-type: audio/wav" \
  -H "authorization: Bearer $WHISPER_WORKER_TOKEN" \
  --data-binary "@audio.wav" \
| jq -r '.result.text // .text // .result.response // empty'

Content-Type guide

WAV: audio/wav
MP3: audio/mpeg
M4A: audio/mp4
OGG/OPUS: audio/ogg
WEBM: audio/webm

Common errors

401 Unauthorized: missing/invalid bearer token
400 Empty audio body: file path wrong or empty file
400 Send raw audio...: invalid content-type header
500: worker/runtime/model error; retry and inspect full JSON

What ships with it: 1 file

926 B alongside SKILL.md, 1 of them executable

scripts/

transcribe.shruns926 B