rustdsh: Fast Rust launcher for DeepSeek Harness, with clear Claude Code/Codex migration, model setup and lightweight

by jimoto-no-llm · MCP Server · ★ 91

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install rustdsh

git clone https://github.com/sahenjp/rustdsh.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 72/100

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. Full audit →

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.

ai-agentsclaude-codeclicodexcommand-linecross-platformdashboarddeepseekdeveloper-toolsdsh

Quick Facts

Stars91
Forks10
LanguageJavaScript
CategoryMCP Server
LicenseMIT
Quality Score72/100
Open Issues2
Last Updated2026-10-23
Created2026-10-04
Platformsclaude-code, cli, codex, mcp, node
Est. Tokens~17k

About rustdsh

rdsh — a fast, safe Rust launcher for 日本語版 is a drop-in fast path for dsh (the DeepSeek Harness CLI). Instead of a full rewrite, it ports only the hot paths to Rust and delegates conversation and model execution to the original binary. The Linux benchmark measured 98x faster startup and 1/23rd peak RSS.

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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:

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