Local Transcription
v1.0.2Local speech-to-text transcription with Qwen ASR — transcription routed across your Apple Silicon fleet. Transcribe meetings, voice notes, podcasts with loca...
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byTwin Geeks@twinsgeeks
MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name/description claim local ASR across an Apple Silicon fleet and the SKILL.md only requires local HTTP endpoints, curl/wget, and optional python/pip; the listed metadata config paths (~/.fleet-manager/...) are consistent with a fleet manager and the darwin OS restriction matches Apple Silicon.
Instruction Scope
Instructions focus on installing and running a local router/node and calling localhost endpoints for transcription and other workloads. They do not ask the agent to read unrelated files or external credentials. Note: running the router/node will open network services (port 11435) and may expose endpoints to LAN depending on configuration—verify binding to localhost if you want strictly local-only access.
Install Mechanism
This is instruction-only (no install spec). The SKILL.md tells users to pip install 'ollama-herd' and to run a model installer (uv tool) which will download model weights and software from external sources—expected for a local ASR setup but means large downloads and external network access during setup. No opaque download URLs are embedded in the skill itself.
Credentials
No environment variables, credentials, or unrelated config paths are requested beyond fleet manager files. The lack of secret requests is appropriate for the claimed local-only transcription purpose.
Persistence & Privilege
always:false (not force-enabled). The skill is user-invocable and allows autonomous invocation (platform default) which is expected. The skill does not request to modify other skills or system-wide agent settings.
Assessment
This skill appears coherent, but before installing: 1) confirm you trust the PyPI package and the 'uv' model installer sources (they will download model weights). 2) Check herd configuration to ensure the router binds to localhost if you want traffic restricted to your machine (otherwise it may be reachable on the LAN). 3) Inspect ~/.fleet-manager files (latency.db, logs) after startup to understand what telemetry/logs are collected. 4) Ensure adequate disk space and bandwidth for model downloads. 5) If you plan to run nodes across multiple devices, only join devices you control or fully trust.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.
Runtime requirements
microphone Clawdis
OSmacOS
Any bincurl, wget