1688-cli: AI-agent-friendly command-line tool for 1688 sourcing, product research, supplier evaluation, procurement

by superjack2050 · Codex Skill · ★ 65

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

How to install 1688-cli

npm i -g 1688-cli

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 60/100

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.

1688agentalibabaamazonautomationchinaclaude-codeclicodexcodex-skill

Quick Facts

Stars65
Forks19
LanguageTypeScript
CategoryCodex Skill
LicenseMIT
Quality Score60/100
Open Issues2
Last Updated2026-08-27
Created2026-05-12
Platformsclaude-code, cli, codex, node
Est. Tokens~13k

About 1688-cli

1688 CLI: AI Agents Friendly Alibaba 1688.com Product Search & Supplier Scraper CLI English | 简体中文 Command-line tool for Alibaba 1688.com wholesale: product search, supplier company search, supplier scraper/research, image search, supplier inquiry, cart, checkout, order tracking, and seller chat. Outputs JSON when piped (for Codex / Claude Code / other AI agents) and pretty TTY text for humans.

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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:

View on GitHub → Browse Codex Skill tools