Models & MCPPlugin
dsh-purge
YuJunZhiXue
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
Structure check pending
deepseekdeepseek-harnessdsh-plugindsh-plugins
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Models & MCPSkill
prismrelay-mcp
Arnoldkevin/prismrelay-mcp
prismrelay-mcp is a tool for DeepSeek Harness. Vision-first local MCP that gives text-only Agents image understanding through Agnes AI (BYOK).
- Stars
- 1
- Forks
- 0
- Issues
- 0
- Update
- 78 days
REVIEW SCORECARD
Review Scorecard
7.5/10Average
License compliance9.0
Engineering quality5.4
Content completeness7.0
Repository scale7.0
Maintenance activity8.0
✓ No risk detected · Automated scan results are for reference only, not an official endorsement
PROJECT READMEREADMEExpandCollapse
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Open repositoryINSTALL REFERENCE
Install reference
npx @deepseek-ai/dsh plugin --profile web add github:Arnoldkevin/prismrelay-mcpThis command was extracted from an explicit README install reference and is display-only; the DSH host will not execute it automatically.
PROJECT TOPICS
Project topics
VALIDATION LADDER
Validation progress
01Store discoveryPassed
02ClassificationPassed
03Structure checkPending
04Sandbox validationPending
FAQ
Frequently Asked Questions
What is prismrelay-mcp used for?
Vision-first local MCP that gives text-only Agents image understanding through Agnes AI (BYOK).
How popular is prismrelay-mcp?
prismrelay-mcp has 1 stars and 0 forks on GitHub, last updated 2026-08-14.
What license does prismrelay-mcp use?
prismrelay-mcp is distributed under the MIT license.
Is prismrelay-mcp compatible with DeepSeek Harness?
prismrelay-mcp is listed in the DSH Universe directory as a tool for DeepSeek Harness. This plugin is listed in the DSH Universe directory and covered by its validation pipeline.
CLASSIFICATION EVIDENCE
Classification evidence
Project typeSkill
Feature categoryModels & MCP
Rule confidenceHigh
The system checks GitHub Topics against the site taxonomy and keyword rules. Current matches:agent-skills、computer-vision、image-understanding、mcp、model-context-protocol。
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