Install
$ agentstack add skill-badlogic-pi-skills-transcribe ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ● Network access Used
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Transcribe
Local speech-to-text using parakeet-cpp-transcribe on Apple Silicon macOS.
Usage
{baseDir}/transcribe.sh
The first run downloads the macOS arm64 binary from the latest badlogic/pibot GitHub release into the extension's ignored bin directory:
{extensionDir}/bin/parakeet-cpp-transcribe
({extensionDir} is the parent directory of this skill's {baseDir}.) The binary downloads its GGUF model automatically if missing.
Output
Plain text timestamped in 15 second chunks is written to stdout:
[00:00-00:15] transcript text
[00:15-00:30] more transcript text
Model/GGML diagnostic logs are written to stderr. Redirect stderr to hide them:
{baseDir}/transcribe.sh 2>/dev/null
Requirements
- Apple Silicon macOS only
curlandtarffmpegfor non-WAV input:brew install ffmpeg
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: badlogic
- Source: badlogic/pi-skills
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.