SKILLS & AGENTS/Skill 与 Agent·MCP-SERVER
atomicstrata/llm-wiki-compiler
The knowledge compiler.
怎么装:Install: npm install -g llm-wiki-compiler
02 / 现在的位置02 / Why now
首次发现FIRST SEEN
03 OCT 202603 OCT 2026
增长GROWTH
+0.1%+0.1%
2.2k → 2.2k stars · 3 个快照2.2k → 2.2k stars · 3 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
$ Node 用户的安装方式。The install route for Node users.
$ README 里给出的安装方式。The installation method given in the README.
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
未知Unknown
静态扫描STATIC SCAN
在 README、SKILL.md 和依赖清单中没有匹配到已知风险模式。No known risk patterns matched in the README, SKILL.md or dependency list.这不等于安全that does not mean it is safe,只能说明文档里没写。 — only that the docs do not mention it.
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.
依赖:Dependencies:@atomicstrata/llmwiki-core, @atomicstrata/llmwiki-local-workflows, @anthropic-ai/claude-agent-sdk, @anthropic-ai/sdk, @modelcontextprotocol/sdk, @mozilla/readability, ajv, canonicalize, chokidar, commander, dotenv, js-yaml
{
"agents": [
{
"agent": "claude-code",
"evidence": "readme: …| | Claude Agent SDK | Local Claude Code login, `LLMWIKI_PROVIDER=clau…"
},
{
"agent": "codex",
"evidence": "readme: …Claude Agent SDK local login, OpenAI Codex CLI local login, OpenAI-compa…"
},
{
"agent": "copilot",
"evidence": "readme: …I-compatible servers, Ollama, GitHub Copilot, Atlas Cloud, OrcaRouter, and…"
}
],
"apiKey": "-g llm-wiki-compiler export ANTHROPIC_API_KEY=sk-... # or choose another provider: #",
"docker": null,
"taxonomy": {
"scores": {
"design": 1,
"ai-tools": 6,
"dev-tools": 4,
"indie-web": 0,
"skill-agent": 12,
"productivity": 3
},
"primary": "skill-agent",
"secondary": "mcp-server"
},
"localRuntime": "n, OpenAI-compatible servers, Ollama, GitHub Copilot, Atlas Cloud, OrcaRoute",
"skillMdTotal": 1,
"skillMdErrors": [],
"treeTruncated": false,
"categoryScores": {
"data": 6,
"agent": 0,
"media": 0,
"design": 1,
"browser": 0,
"devtool": 1,
"security": 0,
"marketing": 0,
"productivity": 3
},
"classification": [
{
"signal": "1 SKILL.md with name + description",
"weight": 0.95
},
{
"signal": "package.json depends on @modelcontextprotocol/sdk + MCP framing",
"weight": 0.8
},
{
"signal": "skills/ directory with 1 markdown files",
"weight": 0.75
},
{
"signal": "README describes a Claude / Agent Skill",
"weight": 0.7
},
{
"signal": "MCP topic + README",
"weight": 0.6
},
{
"signal": "description mentions AI",
"weight": 0.2
}
],
"scannedSources": [
"readme",
"skills/llmwiki/SKILL.md"
],
"skillMdFetched": 1
}