SKILLS & AGENTS/Skill 与 Agent·COLLECTION
kid-sid/claude-spellbook
A curated collection of skills, prompts, and workflows that extend Claude's capabilities — your personal grimoire for AI-powered development.
怎么装:Install: cp -r skills/security ~/.claude/skills/
02 / 现在的位置02 / Why now
首次发现FIRST SEEN
03 OCT 202603 OCT 2026
增长GROWTH
+0.0%+0.0%
189 → 189 stars · 2 个快照189 → 189 stars · 2 snapshots
状态STATUS
持续活跃Active
03 / 它能帮你做什么03 / What it helps you do
04 / 安装04 / Install
$ README 里给出的安装方式。The installation method given in the README.
$ Python 用户的完整版安装,包含命令行工具。The full install for Python users, including the command-line tool.
两种装法选一个即可 —— 上面那条给命令行用户,下面那条给写代码的用户。Pick one of the two — the first is for command-line users, the second for people writing code.
05 / 限制与风险05 / Limits and risk
风险不是警告,是可信度的一部分。以下结论只基于文档静态扫描,我们不会执行项目里的任何代码。Risk here is evidence, not an alarm. These findings come from static scanning of the docs; we never execute a project’s code.
限制LIMITS
需检查Needs review
静态扫描STATIC SCAN
01控制浏览器Controls a browserreadme
| `solution-testing` | Writing E2E or BDD tests with Playwright/Gherkin |
02控制浏览器Controls a browserskills/accessibility/skill.md
# Playwright + axe-core
03读取 API KeyReads an API keyskills/ai-engineer/skill.md
os.environ["LANGCHAIN_API_KEY"] = "your-key"
04读取 API KeyReads an API keyskills/auth/skill.md
const secret = new TextEncoder().encode(process.env.JWT_SECRET);
05执行 Shell 命令Runs shell commandsskills/claude-code/skill.md
Hooks run shell commands automatically in response to Claude Code events.
06执行 Shell 命令Runs shell commandsskills/security/skill.md
subprocess.run(f"convert {filename}", shell=True)这里只做静态扫描:读 README、SKILL.md 和依赖清单,不执行代码。没有命中不代表安全。This is static scanning only: we read the README, SKILL.md and dependency list, and never execute code. No findings does not mean safe.
{
"agents": [
{
"agent": "claude-code",
"evidence": "tree: .claude/"
},
{
"agent": "vscode",
"evidence": "skills/azure/skill.md: …anaged Identity → Azure CLI → VS Code → Interactive browser. The sa…"
}
],
"apiKey": "MBED_PROVIDER=openai # export OPENAI_API_KEY=sk-... # Optional: local CPU vector se",
"docker": null,
"taxonomy": {
"scores": {
"design": 0,
"ai-tools": 0,
"dev-tools": 2,
"indie-web": 0,
"skill-agent": 1,
"productivity": 0
},
"primary": "skill-agent",
"secondary": "collection"
},
"localRuntime": "ntex-ui/` — Next.js frontend (runs locally) Agents are built with the `agentex-sd",
"skillMdTotal": 65,
"skillMdErrors": [],
"treeTruncated": false,
"categoryScores": {
"data": 0,
"agent": 1,
"media": 0,
"design": 1,
"browser": 0,
"devtool": 2,
"security": 1,
"marketing": 0,
"productivity": 0
},
"classification": [
{
"signal": "60 SKILL.md with name + description",
"weight": 0.95
},
{
"signal": "skills/ directory with 67 markdown files",
"weight": 0.75
},
{
"signal": "README describes a Claude / Agent Skill",
"weight": 0.7
},
{
"signal": "description mentions AI",
"weight": 0.2
}
],
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"skillMdFetched": 60
}