Podcast Production Ops

从选题到上线整理播客生产流程，生成 show notes、标题、剪辑要点与发布清单。；use for podcast, production, content workflows；do not use for 虚构嘉宾观点, 公开未授权片段.

This skill appears coherent and local-only: it generates structured podcast deliverables and includes a Python script that can also audit directories or CSVs. Before running: (1) only run the script (python3 scripts/run.py) on directories/files you trust — don't point it at system root or sensitive directories; (2) avoid passing files that contain PII or secrets, or sanitize them first; (3) review the script (scripts/run.py) — it only reads files and produces reports and does not make network calls, but it will read any file the process can access; (4) if you allow an agent to invoke this skill autonomously, ensure its scope is limited (dry-run / review first) so it won't be instructed to run the script against broad/unexpected paths. Overall the package is consistent with its description.

Type: OpenClaw Skill Name: podcast-production-ops Version: 1.0.0 The skill bundle contains a script (scripts/run.py) with significant functionality that is entirely unrelated to its stated purpose of podcast production. While the documentation describes a content workflow tool, the code includes logic for recursive filesystem scanning, CSV data auditing, and a 'pattern_report' function that uses regex to search for sensitive information like API keys, secrets, and dangerous shell commands (e.g., curl|bash, rm -rf). This discrepancy between the declared intent and the script's actual capabilities for system discovery and secret hunting is highly irregular.