audio-book-skill@1.0.0
VERIFIED· install onlyPublisher claims: "Convert a text or Markdown manuscript into clean, long-form spoken narration (MP3, optional MP4) fully locally with Kokoro-82M via MLX. Use when asked to narrate a document, make an audiobook, read a manuscript aloud, or produce spoken-word audio/video from written text. Sentence-aware chunking, resumable jobs, configurable voices/languages, verifiable outputs. Text-to-speech only (not transcription)." Observed in sandbox: no network, touches nothing outside the project, writes no memory.
Coverage
Nothing executable in the bundle ran; the trace covers the install step only.- Tested
- every file read, file written and host contacted by what ran
- Not tested
- use of the skill by an agent
Is [email protected] safe to install?
KillerSkills ran it in the KillerSkills honeypot sandbox (1 scenario; nothing executable in the bundle ran; the trace covers the install step only) on 2026-11-07 and scored it 89/100 (Verified). In what ran, nothing we could detect went wrong: no undeclared network egress, no credential reads, no persistent instruction writes. What it does with a real credential was not observed; the static findings and the publisher carry the rest of the score. Summary: no network, touches nothing outside the project, writes no memory.
Behavior trace
Honeypot run · 0 s · 1 scenarios · 0 deviationsStatic findings
r = subprocess.run(cmd, input=text, capture_output=True, text=True, check=False)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.r = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.ff = subprocess.run(["ffmpeg", "-version"],Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.r = subprocess.run([python_bin, "-c", probe],Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.r = subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.`out/manifest.json` records: input SHA-256 + size, engine/model/voice/lang/Fix: Remove the call, or declare the host in frontmatter and explain in the README what is sent and why.subprocess.run(cmd, check=True, capture_output=True, text=True)Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.r = subprocess.run(["ffmpeg", "-v", "error", "-i", str(path), "-f", "null", "-"],Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.subprocess.run(Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.r = subprocess.run(["ffmpeg", "-v", "error", "-i", str(path), "-f", "null", "-"],Fix: Build commands from fixed arguments, never from interpolated strings; prefer an API client over shelling out.Cost to the agent
Tokens estimated at four characters each. Skills load their instruction text when triggered; the figure is what that costs.
Known vulnerabilities
Vulnerability advisories (OSV) cover npm and PyPI packages; this registry has no advisory database.