No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by NocodeMrLi · Claude Skill · ★ 73
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is mini-program-engineering-skill-suite safe to install? View the security audit →
小程序开发工程技能套件 中文 · 繁體中文 · English · 日本語 · ไทย · <a href="./README.i
| Stars | 73 |
| Forks | 5 |
| Language | Python |
| Category | Claude Skill |
| License | MIT |
| Quality Score | 61.7816280848498/100 |
| Open Issues | 1 |
| Last Updated | 2026-09-19 |
| Created | 2026-08-13 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~16k |
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mini-program-engineering-skill-suite is Mini Program Engineering Skill Suite is an Agent Skill suite for evidence‑first mini‑program development. It helps agents bring WeChat or other mini‑program projects from vague intent to reliable engi. It is categorized as a Claude Skill with 73 GitHub stars.
mini-program-engineering-skill-suite is primarily written in Python. It covers topics such as agent-skills, ai-agents, alipay.
You can find installation instructions and usage details in the mini-program-engineering-skill-suite GitHub repository at github.com/NocodeMrLi/mini-program-engineering-skill-suite. The project has 73 stars and 5 forks, indicating an active community.
mini-program-engineering-skill-suite is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to mini-program-engineering-skill-suite on Agent Skills Hub include claudepro-directory, bitbucket-cli, repo-forensics. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.
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: