Youtube Outlier Skill

Finds trending YouTube outlier videos by niche, analyzes key concepts, saves data to Google Sheets, and posts summaries to Discord.

Key things to check before installing or running this skill: - Do not rely on the registry metadata alone: the skill actually needs multiple credentials (Google Sheets service account JSON, GOOGLE_SHEET_ID/GOOGLE_SHEET_RANGE, DISCORD_BOT_TOKEN, DISCORD_CHANNEL_ID, YOUTUBE_API_KEY, and optionally ANTHROPIC_API_KEY). Provide only least-privilege credentials (share the specific sheet with a service account that has edit access to that single sheet, avoid broad Google Cloud scopes). - The SKILL.md references a .env.example that is not included. Ask the author for the env template or create your own, and verify every required env var before running. - The code will perform live writes and Discord posts by default (DRY_RUN is false). Test in a safe environment (test sheet and a test Discord channel) first. - There is a dependency/import mismatch: code imports '@anthropic-ai/sdk' but package.json lists 'openai' and not '@anthropic-ai/sdk'. Confirm and audit npm dependencies before running npm install; ensure the Anthropic SDK version you intend is explicitly listed and reviewed. - Inspect SKILL.md for hidden/control characters (the scan found unicode-control-chars). Remove any non-printable characters and validate the content. - Review and limit the Discord bot's permissions and channel scope; prefer a bot account dedicated to testing. - If you cannot audit the author’s changes, consider running the skill in an isolated environment (container) or refuse to install until the developer fixes the missing .env.example and dependency issues. If you want, I can: - Enumerate the exact environment variables the code reads and produce a safe .env.example template for you; or - Produce a short checklist to run the skill safely in a sandbox (test sheet, test Discord channel, ephemeral API keys).

Type: OpenClaw Skill Name: youtube-outlier-skill Version: 1.0.1 The skill's code and documentation align perfectly with its stated purpose: finding YouTube outliers, analyzing them with AI, and reporting to Google Sheets and Discord. All API calls (YouTube, Anthropic, Google Sheets, Discord) and environment variable usage for credentials are necessary for its intended functionality. There is no evidence of unauthorized data exfiltration, malicious execution, persistence mechanisms, or deceptive prompt injection attempts in SKILL.md or README.md.