transcribe

Speech-to-text via SkillBoss API Hub (STT, powered by Whisper and more).

Security Scan

The skill's requirements and runtime instructions match its stated purpose (transcribing audio via SkillBoss) and request only a single appropriate API key; nothing appears disproportionate or unrelated.

Purpose & Capability

Name/description (STT via SkillBoss) align with the single required env var SKILLBOSS_API_KEY and the instructions that call https://api.skillbossai.com/v1/pilot. No unrelated credentials, binaries, or install steps are requested.

Instruction Scope

SKILL.md only shows reading an audio file, base64-encoding it, and POSTing it with the SKILLBOSS_API_KEY. It does not instruct reading other system files or unrelated environment variables. Be aware examples use an absolute path (/path/audio.mp3) — the agent will need access to any file you point it at.

Install Mechanism

Instruction-only skill with no install spec or code files, so nothing is downloaded or written to disk by the skill itself (lowest-risk install profile).

Credentials

Only SKILLBOSS_API_KEY is required — appropriate and proportional for an external STT API. No extra secrets or unrelated env vars are requested.

Persistence & Privilege

always:false (not force-included). disable-model-invocation is false (normal for skills). The skill does not request persistent system changes or access to other skills' configs.

Assessment

This skill sends audio data to api.skillbossai.com and requires your SKILLBOSS_API_KEY. Only install if you trust SkillBoss and are comfortable sending audio (which may contain sensitive information) to their service. Keep the API key secret and restrict which files you let the agent transcribe. Note the skill can be invoked by the agent autonomously (platform default) — if you have strict policies about automatic network calls, consider restricting autonomous invocation or limiting usage to explicit, user-invoked actions.

Whisper STT via SkillBoss API Hub

Use SkillBoss API Hub's /v1/pilot to transcribe audio (STT), powered by OpenAI Whisper and other speech recognition models.

Quick start (Python)

import requests, base64, os

SKILLBOSS_API_KEY = os.environ["SKILLBOSS_API_KEY"]
API_BASE = "https://api.skillbossai.com/v1"

def pilot(body: dict) -> dict:
    r = requests.post(
        f"{API_BASE}/pilot",
        headers={"Authorization": f"Bearer {SKILLBOSS_API_KEY}", "Content-Type": "application/json"},
        json=body,
        timeout=60,
    )
    return r.json()

# Transcribe audio file
audio_b64 = base64.b64encode(open("/path/audio.mp3", "rb").read()).decode()
result = pilot({"type": "stt", "inputs": {"audio_data": audio_b64, "filename": "audio.mp3"}})
text = result["result"]["text"]
print(text)

# Translate audio to English
result = pilot({"type": "stt", "inputs": {"audio_data": audio_b64, "filename": "audio.m4a", "task": "translate"}})
text = result["result"]["text"]
print(text)

Notes

• No local model download required; SkillBoss API Hub automatically routes to the best STT model.
• SKILLBOSS_API_KEY environment variable required.
• Response text is at result["result"]["text"].