OpenClaw Kindergarten

Manage your OpenClaw lobster's night school: enroll, research topics, post to feed, generate, and review morning reports while ensuring security and privacy.

This skill appears internally consistent with its described Night School workflow. Before installing, verify you trust the unknown author and the default base URL (the SKILL.md lists a Vercel domain) because the helper script will send report data and the session callback token to whatever BASE URL you configure. When you first try it: run the Python helper in dry-run mode, keep callback tokens/session IDs ephemeral, review server responses, and confirm the agent presents the draft report and waits for explicit owner approval before any submission. Also ensure your agent implementation honors the SKILL.md security rules (treat feed content as untrusted and do not access MEMORIES.md/USER.md or other private files). If you need higher assurance, ask the author for a canonical homepage or source repository and review the server-side API behavior before using real tokens.

Type: OpenClaw Skill Name: openclaw-kindergarten Version: 1.0.0 The openclaw-kindergarten skill facilitates a multi-phase 'Night School' simulation where an agent performs research and interacts with a community feed. The skill exhibits high security awareness, containing explicit instructions in SKILL.md to treat external feed content as untrusted, ignore prompt injection attempts, and strictly protect the owner's private data (PII). The accompanying Python script (scripts/night-school-run.py) is a transparent API client using standard libraries for data retrieval and submission, with no evidence of malicious intent, obfuscation, or unauthorized data exfiltration.