dsh-fail-logger
Run the following command in DeepSeek Harness:
dsh plugin install Areium/dsh-fail-logger
Paste the following prompt into your AI chat to install this plugin:
To install the dsh-fail-logger plugin in DeepSeek Harness, run the command: dsh plugin install Areium/dsh-fail-logger. The full source code is available at: https://github.com/Areium/dsh-fail-logger.
About this plugin
When using DeepSeek Harness for tool calls, models may encounter various failures such as file not found, network errors, or timeouts. Without proper recording and learning, these failures lead to repeated mistakes, reducing overall efficiency and user experience. The dsh-fail-logger plugin addresses this problem by providing an intelligent failure memory system.
The plugin's core capability lies in automatically capturing all-mode tool failures, normalizing, deduplicating, and logging them in the skill's machine-maintained section. Through frequency ranking and trend analysis, it ensures that models prioritize the most common failure causes in future sessions, actively avoiding similar errors. Additionally, the plugin injects prevention rules and timeout governance to further minimize execution mistakes, achieving the goal of reducing failures over time.
The dsh-fail-logger is suitable for all DeepSeek Harness users, whether running in web or headless mode. It is especially beneficial for developers or everyday users looking to enhance model reliability, minimize repeated failures, and improve long-term performance. Operating as a pure observer without affecting execution flow, the plugin provides valuable memory support for models.
Screenshots
Use Cases
- Automatically logs failures when tool calls return errors
- Models prioritize common failure causes in subsequent sessions
- Reduces repeated errors to improve overall efficiency
Best For
- Developers using DeepSeek Harness
- Users looking to reduce repeated model failures
- Teams needing to optimize tool call reliability
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