Podcast Show Notes Generator
Analysis
The show-notes workflow is mostly coherent, but the listed purchase-related capability is unrelated to generating podcast content and is not bounded by the instructions.
Findings (5)
Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.
Checks for instructions or behavior that redirect the agent, misuse tools, execute unexpected code, cascade across systems, exploit user trust, or continue outside the intended task.
The agent will ask which mode to use and request file paths or pasted text.
The skill expects user-provided file paths or pasted transcripts and describes tool-driven processing, but this is aligned with the stated podcast transcription and show-notes purpose.
Run Whisper (large-v3 by default) for transcription ... Speaker diarization (pyannote.audio)
The skill references external transcription and diarization components. They are purpose-aligned, but users should notice that dependency provenance and versions are not specified in the instruction-only package.
whisper episode-47.mp3 --model large-v3 --output_format json --word_timestamps True
The skill includes a local command example for audio transcription. This is expected for processing podcast audio, but it is still command execution against user-provided files.
Checks whether tool use, credentials, dependencies, identity, account access, or inter-agent boundaries are broader than the stated purpose.
Capability signals - crypto - can-make-purchases
Purchase-related and crypto-related capability signals are not explained by the podcast show-notes purpose and are not bounded by approval, scope, or reversibility instructions.
Checks for exposed credentials, poisoned memory or context, unclear communication boundaries, or sensitive data that could leave the user's control.
The agent ingests the audio or transcript, extracts metadata, structures the output for every distribution channel
The skill necessarily processes full episode content and extracts names, bios, links, topics, and mentions. This is purpose-aligned, but transcripts may contain private or pre-release information.
