Sticker Manager

Sticker library management for OpenClaw. Use this skill to save, search, tag, rename, clean up, collect, import, and recommend stickers or reaction images. I...

This skill appears to be what it claims: a local sticker manager implemented as Python scripts. Before installing or running it, consider: 1) It will read from and write to your local sticker library and inbound media directories (defaults under ~/.openclaw); set STICKER_MANAGER_DIR and STICKER_MANAGER_INBOUND_DIR to an isolated folder if you want to limit impact. 2) The collector/discovery commands will make HTTP requests to URLs you provide — only supply trusted sources. 3) Vision/auto-tag features produce plans referencing external models (e.g., openai/gpt-5-mini) but do not include or ask for API keys; enabling automated vision/model execution requires separate model/tool credentials and integration. 4) If you want extra safety, review the scripts (they are included) and run them in a sandbox or dedicated user account; run the provided tests and the included check_sensitive.py before publishing changes.

Type: OpenClaw Skill Name: sticker-manager Version: 0.3.0 The sticker-manager skill is a comprehensive tool for managing local sticker libraries, supporting operations like saving, searching, semantic tagging, and batch importing. It includes a developer-focused security script (check_sensitive.py) designed to prevent the accidental commitment of secrets like API keys or private paths. Network functionality in scripts like collect_stickers.py and discover_sources.py is strictly aligned with the stated purpose of fetching and discovering image assets, and the code follows standard OpenClaw patterns for multi-step reasoning and vision-model integration without any evidence of malicious intent or data exfiltration.