deepseek-cli: DeepSeek CLI, a command-line AI coding assistant that leverages the powerful DeepSeek Coder models

by holasoymalva · Agent Tool · ★ 296

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

How to install deepseek-cli

npm install -g run-deepseek-cli

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

Security audit verdict: SAFE · quality 60/100

Flagged: sudo usage. 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.

artificial-intelligenceclaudeclaude-aiclaude-codecursorcursor-aideep-learningdeep-neural-networksdeepseekdeepseek-ai

Quick Facts

Stars296
Forks53
LanguageTypeScript
CategoryAgent Tool
LicenseMIT
Quality Score60/100
Open Issues22
Last Updated2026-07-23
Created2025-06-25
Platformsclaude-code, cli, gemini, node
Est. Tokens~2k

About deepseek-cli

DeepSeek CLI This repository contains the DeepSeek CLI, a command-line AI coding assistant that leverages the powerful DeepSeek Coder models to accelerate your development workflows and enhance your coding experience. With the DeepSeek CLI you can: Code Completion & Generation: Get intelligent code suggestions and generate complete functions across 100+ programming languages.

Compatible Skills

These tools work well together with deepseek-cli for enhanced workflows:

  • deepseek-mcp-server — semantic(0.51)+complementary+rare_topics+same_lang+similar_pop+shared_platform (77%)
  • carboncode — semantic(0.39)+complementary+same_lang+similar_pop+shared_platform (64%)
  • deepseek-pp — semantic(0.22)+complementary+rare_topics+same_lang+similar_pop+shared_platform (62%)
  • MCP-SuperAssistant — semantic(0.33)+complementary+same_lang+similar_pop+shared_platform (61%)
  • talkio — semantic(0.28)+complementary+same_lang+similar_pop+shared_platform (60%)

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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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