No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by Nwflower · Codex Skill · ★ 189
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is dsh-chat-import safe to install? View the security audit →
📥 DSH Chat Import Import 15+ external agent conversation histories into DeepSeek Harness as full-fidelity, resumable sessions — and export / sync back to Claude Code, Codex, Kimi, or a portable interchange bundle. [ server
One macOS app for Claude Code, Codex, and every agent runtime you use — scheduled runs, global hotkey launcher
The open standard for omnipresent AI. Claude Code, OpenCode, Gemini CLI, Shell, Chrome, DeepSeek Harness. Mode
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Deepseek Harness、Openclaw知识图谱记忆插件。2026年4月受邀发布在清华大学讨论会。Knowledge Graph + Memory;Knowledge Graph Context Engine
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dsh-chat-import is Import conversation history from 25+ AI coding agents into DeepSeek Harness as resumable sessions — tool calls, reasoning and results kept intact, with reverse export and sync. | 把 25+ AI 编程 Agent 的聊天. It is categorized as a Codex Skill with 189 GitHub stars.
dsh-chat-import is primarily written in JavaScript. It covers topics such as agent, ai-agents, automation.
You can find installation instructions and usage details in the dsh-chat-import GitHub repository at github.com/Nwflower/dsh-chat-import. The project has 189 stars and 24 forks, indicating an active community.
dsh-chat-import is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to dsh-chat-import on Agent Skills Hub include Overture, cetus, opencues. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. It is a first-layer scan, not a manual audit — we say so rather than overstate it.
The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.
Sources & who's responsible: