Introduction¶
In the DeepSeek Harness plugin ecosystem, having a model directly generate a beautifully formatted HTML page consumes a large number of tokens and makes style control difficult. This plugin breaks this process down: the model is responsible only for content, while the CLI is responsible for layout.
Through a pipeline of “Markdown draft + CLI processing,” it reduces the number of tokens the model needs to write to 1/8 of the original, while generating an HTML page with a clear structure that can be viewed offline.
What It Is¶
This is a workflow plugin maintained by QingYunA. It transforms complex Q&A tasks into single-page HTML output, aiming to replace the inefficient approach of traditional “terminal text walls” or directly generating HTML.
Core Features¶
- One-page output: Combines complex topics (such as architecture diagrams and comparative analysis) into a single readable HTML page.
- Lighter model workload: The model only needs to write a Markdown draft, without dealing with HTML tags, CSS styles, or SVG coordinate paths.
- Automatic CLI layout: The built-in CLI handles template rendering, automatic SVG layout, and final HTML generation.
- Offline-friendly: Generates a single file with no external dependencies.
- Always-on mode: Once enabled, all conclusions are automatically accompanied by a page, not just complex questions.
Installation and Enablement¶
Before installation, make sure the environment has Node.js 20 or higher installed. The plugin itself already bundles the CLI, so there is no need to run npm install.
DeepSeek Harness plugin installation:
Run the following command in the terminal (web is the default profile):
dsh plugin --profile web add github:QingYunA/answer-me-with-html
Generic installation command:
npx -y skills add QingYunA/answer-me-with-html -g -y -a <your agent name>
After installation, it is recommended to enable Always-on mode.
Typical Usage¶
The usage is the same as asking a normal question. The plugin decides whether to generate a page based on the complexity of the question.
Applicable examples:
* Explaining TCP three-way handshake
* Explaining the module organization structure of the current repository
* Comparing Redis or Memcached
* Analyzing issues in a piece of text
* Explaining the origins of Kubernetes
* Planning a cache change scheme
Use Cases and Notes¶
- Use cases: Suitable for complex questions that require flowcharts, architecture diagrams, comparison tables, or multi-step logic. The model automatically decides when to generate a page, and you can also force it by requesting “explain it in HTML”.
- Note: For simple one-line questions, the plugin usually returns a simple one-line answer and does not generate a page.
- License: MIT License.
Conclusion¶
By separating content writing from layout rendering, this plugin significantly reduces token consumption and improves answer readability. It supports multiple agent environments, including Claude Code, Codex, Cursor, OpenCode, Pi, and DeepSeek Harness.
