Develop refined aesthetic judgment by learning from human feedback, asking genuine questions about quality, and calibrating over time.
Security Analysis
high confidenceThe skill is an instruction-only “taste” trainer that asks for human feedback and stores calibration data locally — its requirements and behavior match its description and there are no unexplained network/credential or install actions.
Name/description (developing aesthetic judgment from human feedback) matches the instructions: it asks questions, records corrections, extracts patterns, and updates calibration. It does not request unrelated credentials, binaries, or external services.
All runtime instructions are local and domain-specific: ask the user, record corrections, extract patterns, and read the included reference docs. The SKILL.md explicitly instructs creating a workspace under ~/taste/ and writing structured correction files — this is coherent with 'learning from feedback' but means the skill will write persistent data to the user's home directory.
No install spec or code files; instruction-only skill. Lowest install risk — nothing downloaded or executed beyond the platform's normal capability to run the skill's instructions and write files.
The skill requests no environment variables, credentials, or external config paths. The only resource it expects is the ability to create and manage files under ~/taste/, which is proportionate to its stated purpose.
The skill persists data under ~/taste/ (corrections, preferences, patterns, calibration). It does not declare always:true or ask to modify other skills or system-wide settings, but users should note that the skill will create and update files in their home directory over time.
Guidance
This skill is coherent and appears benign, but it will store persistent records of interactions in ~/taste/. Before installing: 1) Decide whether you’re comfortable with the agent writing human feedback and example content to your home directory; these files could include anything you type into the assistant, so avoid pasting secrets into taste interactions. 2) After installing, inspect ~/taste/ to see what is being stored and remove or relocate files you don’t want saved. 3) If you prefer, modify the storage path in the instructions to a directory you control (or a temporary workspace). 4) Because the skill will ask many pointed questions, be prepared for more frequent prompts during learning; if that’s undesirable, don’t enable autonomous invocation or limit use to explicit, user-invoked sessions.
Latest Release
v1.0.0
Initial release — Adaptive taste learning system with human calibration
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Published by @ivangdavila on ClawHub
