dsh-trace-insight
Run the following command in DeepSeek Harness:
dsh plugin install Liu-Bot24/dsh-trace-insight
Paste the following prompt into your AI chat to install this plugin:
Run dsh plugin install Liu-Bot24/dsh-trace-insight to install the DSH Trace Insight plugin, with the repository address at https://github.com/Liu-Bot24/dsh-trace-insight.
About this plugin
When building complex Agent workflows in DeepSeek Harness (DSH), developers often struggle with the challenge of hidden hundreds of steps within long conversations. Amidst massive trace data, it is difficult to intuitively grasp the Agent's decision-making logic or precisely pinpoint whether failures stem from model judgment errors, tool invocation issues, or environmental configuration problems.
Trace Insight is designed specifically to address this pain point. As a read-only review plugin for DSH, it transforms dense raw events into a clear analysis timeline. By using local rule analysis, it automatically identifies critical nodes such as tool failures, non-progressive loops, and path guessing. Furthermore, it utilizes a standalone model to deeply analyze the root causes and risks behind decisions without interfering with the main model's operation.
This plugin is ideal for developers and researchers who need a deep understanding of Agent behavior. Whether you are optimizing an Agent's execution strategy or seeking concrete original evidence for complex tasks, Trace Insight provides powerful assistance. It helps you clarify the Agent's "thought path," making every review targeted and effective.
Screenshots
Use Cases
- Optimize complex Agent workflow strategies
- Locate errors or failure reasons during Agent execution
- Deeply analyze Agent decision-making processes and thinking paths
Best For
- Agent developers using DeepSeek Harness
- Engineers responsible for debugging and optimizing workflows
- Researchers needing to review Agent behavior
Related Plugins
A method pack that makes AI coding agents plan against your real baseline, prove completion with fresh evidence, and reduce reworks and unsafe changes.
Turns the DeepSeek Harness session into a captain that builds a durable sub-agent team, splits goals into dependency-aware tasks, and coordinates work via direct messages and a live Web UI.
Gives coding agents design judgment, letting Claude Code, Cursor, and 70+ agents generate and iterate high-quality UI, presentations, and graphics right from the terminal.
Run the Pi ecosystem's plugins on DeepSeek Harness, unmodified, via a compatibility layer that implements Pi's public extension ABI on DSH's native services.


