dsh-blackhead
Run the following command in DeepSeek Harness:
dsh plugin install uckkk/dsh-blackhead
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install uckkk/dsh-blackhead in the DeepSeek Harness terminal to install this plugin; the full source is available at https://github.com/uckkk/dsh-blackhead
About this plugin
Blackheads on your nose tend to pop out the moment after a photo, and you have tried half the aisle of cleansers without feeling like any of them was tailored to your skin. dsh-blackhead is a small, parameter-driven tool built exactly for that kind of everyday skincare micro-question—no full routine, just a quick, targeted answer.
Its core job is deliberately narrow: you pass in parameters such as skin type and blackhead shape, and it returns one clear, actionable suggestion covering whether to clean and how to do it. The whole implementation is pure Node with zero network dependency—no third-party SDKs, no runtime downloads, just a local function call that fires the moment you invoke it, light enough to disappear into your workflow. A gentle reminder: the output is a directional reference, not a medical diagnosis, and persistent skin issues should always be confirmed by a dermatologist.
Who is it for? If you enjoy turning small daily habits into little parameterized tools, or you simply want a fast, conversation-length answer instead of five tabs of SEO skincare articles, this plugin is a zero-ceremony companion. It will not replace your esthetician or your doctor; it just turns the inward what-now? hesitation into a quick query with a concise, practical reply.
Use Cases
- Assess nose blackheads before a photoshoot and get a same-day cleanup tip
- Pass in parameters during an oily-season flare-up for a targeted cleansing direction
- Call it up mid-conversation as a quick reference instead of scrolling threads
Best For
- Users who enjoy turning small skincare habits into parameterized tool calls
- Fast-paced users wanting instant answers without browsing threads
- Creators in fun-dressup scenarios adding a skincare beat to a character
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