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charrywhite/dsh-sticky-notes
dsh-sticky-notes is a tool for DeepSeek Harness. Sticky notes for DeepSeek Harness: draggable notes with text & image support, 9 skins, and AI-powered read/write. DeepSeek Harness sticky note plugin: draggable, text & image support, 9 skins, AI read/write.

REVIEW SCORECARD
✓ No risk detected · Automated scan results are for reference only, not an official endorsement
AI DEEP REVIEW
A polished, actively maintained sticky-notes plugin with strong docs and AI read/write, but no visible tests or CI.
README documents three install paths and a clean tool API, but no tests, CI config, or source structure are visible, so engineering rigor cannot be verified.
No download-and-execute or plaintext secrets appear, but the plugin registers model tools that read and write user notes and stores data in ~/.dsh/sticky-notes.json, so permissions are only partially described.
Solves a concrete, common need by adding draggable todo/image sticky notes with AI read/write directly inside the DeepSeek Harness web UI.
Changelog shows releases and fixes from 8/16 through 8/28 with a last update of 2026-08-18 and an accepted external PR, indicating active upkeep.
README covers install (three methods), usage tables, AI tool semantics, uninstall, environment requirements, and an FAQ, though the provided excerpt cuts off mid-question.
Generated by AI after reading the project README — a decision aid, not an endorsement. Neutral scores are given when information is limited.
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Open repositoryPROJECT TOPICS
VALIDATION LADDER
FAQ
Sticky notes for DeepSeek Harness: draggable notes with text & image support, 9 skins, and AI-powered read/write. DeepSeek Harness sticky note plugin: draggable, text & image support, 9 skins, AI read/write.
dsh-sticky-notes has 7 stars and 1 forks on GitHub, last updated 2026-08-18.
dsh-sticky-notes is distributed under the MIT license.
dsh-sticky-notes is listed in the DSH Universe directory as a tool for DeepSeek Harness. This plugin is listed in the DSH Universe directory and covered by its validation pipeline.
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