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pinpoint

Web Tools Updated 2026.09.14

Run the following command in DeepSeek Harness:

dsh plugin install 776138506/pinpoint

Paste the following prompt into your AI chat to install this plugin:

Run dsh plugin install 776138506/pinpoint in the DeepSeek Harness terminal to install this plugin; the full source is available at https://github.com/776138506/pinpoint

About this plugin

Debugging a web UI with an AI agent often stumbles on one simple question: which element are you actually pointing at? A vague description like the gray button, third row, second one from the left is hard to verify and wastes turns on back-and-forth clarification. Pinpoint exists to eliminate that friction.

The workflow is straightforward: press Alt+Shift+M on any page to enter mark mode, click the target element, and Pinpoint automatically captures a screenshot, CSS selector, text excerpt, and page coordinates. A comment popup lets you add context, and the moment you send it, the structured card lands directly in your dsh session. The agent receives precise, selector-level context instead of a fuzzy description, so it can pinpoint the issue in a single pass.

Under the hood the plugin has two pieces: a Chrome/Edge browser extension (MV3) that handles marking, commenting, and cross-tab staging, and a dsh plugin that renders the context card and injects the expected format into the conversation. It is built for developers who regularly collaborate with AI agents on front-end debugging, UI walkthroughs, or requirement review—anyone whose counterpart keeps needing to see exactly what you are pointing at. Pinpoint turns a vague you-know-that-thing into a precise, structured card every time.

Use Cases

  • Mark a web element with a comment so the agent pins down a UI issue in one shot
  • Replace vague verbal descriptions with a screenshot plus CSS selector during UI review
  • Inject a visual pointer directly into a dsh session during requirement review to cut back-and-forth

Best For

  • Developers who regularly debug front-end code with an AI agent
  • Engineers who spend time explaining element locations or styles to an agent
  • Technical practitioners who use the dsh workflow for collaborative development