x-skills: 自动收集素材,确认选题,并创作x推文,最后并发布到草稿箱的Claude Skills

by kangarooking · Claude Skill · ★ 331

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

Security audit verdict: SAFE · quality 61/100

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. 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.

Quick Facts

Stars331
Forks51
LanguagePython
CategoryClaude Skill
LicenseApache-2.0
Quality Score61/100
Open Issues3
Last Updated2026-02-21
Created2026-01-20
Platformsclaude-code, python
Est. Tokens~5k

About x-skills

X-Skills English | 简体中文 一套用于 X (Twitter) 内容创作自动化的 Claude Skills,帮助你高效收集素材、筛选选题、创作爆款推文并发布到草稿箱。 ✨ 功能特性 核心亮点 智能推荐算法:借鉴 X For You 推荐算法,引入多源候选、加权评分、多样性控制 A/B 变体 + Critic:默认生成两个版本并自检打分,低于阈值自动重写一次 意图驱动路由:根据目标动作(收藏/转发/讨论)自动选择最佳创作模式 反馈闭环:支持正/负样本库(liked/rejected topics)+ 事件日志(JSONL) 相似度过滤:基于字符 n-gram 的轻量相似度算法,避免重复低质选题 状态持久化:Python 脚本管理状态文件,支持 hooks 自动收集反馈 🚀 快速开始 安装 Skills 将 skill 文件夹复制到 Claude skills 目录:...

Compatible Skills

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  • awesome-claude-skills — semantic(0.35)+complementary+same_lang+similar_pop+shared_platform (57%)
  • skyll — semantic(0.30)+complementary+same_lang+similar_pop+shared_platform (55%)
  • claude-reflect-system — semantic(0.29)+complementary+same_lang+similar_pop+shared_platform (55%)

x-skills alternative? Top 4 similar tools

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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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