1688-cli — not yet audited

by superjack2050 · Codex Skill · ★ 65

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

About 1688-cli

1688 CLI is an AI-agent-friendly command-line tool for 1688 sourcing, product research, supplier evaluation, procurement Inquire, and order management.helping dropshippers and Amazon sellers automate and streamline their sourcing workflow from 1688.

1688agentalibabaamazonautomationchinaclaude-codeclicodexcodex-skill

Quick Facts

Stars65
Forks19
LanguageTypeScript
CategoryCodex Skill
LicenseMIT
Quality Score59.698698443723/100
Open Issues2
Last Updated2026-08-27
Created2026-05-12
Platformsclaude-code, cli, codex, node
Est. Tokens~13k

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Frequently Asked Questions

What is 1688-cli?

1688-cli is 1688 CLI is an AI-agent-friendly command-line tool for 1688 sourcing, product research, supplier evaluation, procurement Inquire, and order management.helping dropshippers and Amazon sellers automate . It is categorized as a Codex Skill with 65 GitHub stars.

What programming language is 1688-cli written in?

1688-cli is primarily written in TypeScript. It covers topics such as 1688, agent, alibaba.

How do I install or use 1688-cli?

You can find installation instructions and usage details in the 1688-cli GitHub repository at github.com/superjack2050/1688-cli. The project has 65 stars and 19 forks, indicating an active community.

What license does 1688-cli use?

1688-cli is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to 1688-cli?

The top alternatives to 1688-cli on Agent Skills Hub include holysheep-cli, sudocode, html-anything. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

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:

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