dsh-chat-import: Import conversation history from 25+ AI coding agents into DeepSeek Harness as resumable sessions

Security audit verdict: SAFE · quality 65/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours.

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

Quick Facts

About dsh-chat-import

📥 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. [![Listed in Awesome DeepSeek Harness](https://img.shields.io/badge/Listedin-AwesomeDeepSeekHarness-6A5ACD?style=for-the-badge

Compatible Skills

These tools work well together with dsh-chat-import for enhanced workflows:

• awesome-dsh-plugins — semantic(0.56)+complementary+same_lang+similar_pop+shared_platform (70%)
• dsh-crew — semantic(0.48)+complementary+same_lang+similar_pop+shared_platform (67%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. 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:

• SlowMist agent-security taxonomy
• Liu et al., An Empirical Study of Agent Skill Security (2026)
• Our census dataset (DOI 10.5281/zenodo.21292799) · Hugging Face mirror
• How we grade: all 42 rules, the source tiers and known limits
• Full methodology & who runs this