YuJunZhiXue/dsh-purge

DeepSeek Harness 破甲:让所有模型都能破甲,不同模型可换不同提示词;默认提示词面向国模「小码酱」。Jailbreak for every model — swap prompts per model. 求 Star 收藏 ⭐ 如要二开,请查看署名要求部分

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Summary Information

Updated 7 minutes ago
Added to GitGenius on October 2nd, 2026
Created on August 19th, 2026
Open Issues & Pull Requests: 8 (+1)
GitHub issues: Enabled
Number of forks: 510
Total Stargazers: 4,370 (+32)
Total Subscribers: 10 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 2.6 hours
Mean response time: 19.7 hours
90th percentile: 35.6 hours
Tracked items: 73

How this project is maintained

About 3% of issues opened in the past year have never received a reply. 92% of issues opened in the past year have since been closed. Three people close 90% of everything that gets resolved.

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Issue Activity (beta)

Open issues: 8
New in 7 days: 28
Closed in 7 days: 24
Avg open age: 5 days
Stale 30+ days: 0
Stale 90+ days: 0

Recent activity

Opened in 7 days: 23
Closed in 7 days: 20
Comments in 7 days: 19
Events in 7 days: 58

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Detailed Description

dsh-purge is a cybersecurity red-team plugin for DeepSeek Harness that enables controlled testing of model safety policies.

The tool addresses the problem that DeepSeek Harness applies multiple layers of filtering—rewriting prompts, enforcing approval gates, applying sandbox policies, and managing session migration—making it difficult to distinguish between model-level refusals and host-layer blocks. dsh-purge separates these layers on a local installation, allowing security researchers to evaluate which default policies may be overly restrictive and to test model behavior under controlled conditions. It works by patching the host installation with configurable prompts that can be swapped per model, with a default prompt targeting Chinese models.

This tool is designed for security researchers and red-team operators who need to assess the robustness of language model safety mechanisms. It suits projects involving controlled evaluation of model policies and identifying gaps in host-layer protections. The plugin requires DeepSeek Harness to already be installed locally and operates only on that installation. After installation, users must click Apply once, which triggers automatic host restart; subsequent chat sessions will include the injected prompts. The tool requires Node.js version 18 or higher, with version 22 or higher needed on Windows for certain import hook functionality.

The project maintains active development with regular updates and operates as an official plugin within the DeepSeek Harness ecosystem. The tool includes a built-in drill console for testing and provides clear documentation distinguishing its operation from blind prompt rewriting. Development focuses on compatibility with specific host versions, with the current release supporting DeepSeek Harness 0.2 only and explicitly not supporting earlier versions.