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 Jaxon1216 · Codex Skill · ★ 74
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is interview-analyzer-skill safe to install? View the security audit →
interview-analyzer-skill English 把你的项目经历，变成可复述、可追问、可上场的面试战斗手册。 把真实项目快速整理成两份可直接用于面试准备的文档（输出到目标项目根目录）： ：重点亮点、代码阅读路径、学习顺序与必备知识点 ：简历可用摘要 + 面试题口播（第一人称 STAR） 效果演示 下面这张合并图展示了触发输入与面经输出示例： 输出文件 快速开始（更详细） 当前是 clone + install.sh（不是 ）。 安装前要分清的两件事 Skill 装在哪： 会把本仓库整份拷贝到编辑器约定的目录（例如 Cursor 的 或某项目下的 ）。只有这样，Agent 才能在对话里加载这份规则。 导学 / 面经写在哪：取决于你在 IDE 里打开的是哪个文件夹。在业务项目根目录打开工作区并触发 skill 后，导学-
| Stars | 74 |
| Forks | 2 |
| Language | Python |
| Category | Codex Skill |
| Quality Score | 64.0126810502136/100 |
| Last Updated | 2026-08-30 |
| Created | 2026-04-21 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~15k |
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interview-analyzer-skill is Generate project-based guidance and interview Q&A docs with STAR speaking scripts. 基于真实项目生成导学与面经（含第一人称 STAR 法则口播答案）. It is categorized as a Codex Skill with 74 GitHub stars.
interview-analyzer-skill is primarily written in Python. It covers topics such as agent-skill, career, claudecode.
You can find installation instructions and usage details in the interview-analyzer-skill GitHub repository at github.com/Jaxon1216/interview-analyzer-skill. The project has 74 stars and 2 forks, indicating an active community.
The top alternatives to interview-analyzer-skill on Agent Skills Hub include agent-skills, aiwg, creative-director-skill. 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: