F
FelixFangX/FelixFangX
Felix Fang's GitHub profile, with daily GitHub activity and status maps for my agent tools
无 SECURITY.md
在 GitHub 查看 ↗链接已于 2026-11-12 核查 · HTTP 200 · 打开的是厂商自己的官网
安装与配置
客户端配置（取自该仓库的安装命令）
{
"mcpServers": {
"felixfangx-felixfangx": {
"command": "npx",
"args": ["-y", "lakeboard-converter"]
}
}
}解析自我们于 2026-10-26 抓取的该仓库 README；我们未执行过。
command/args 来自仓库写明的安装命令；不确定时请以该项目 README 为准。
VS Code（.vscode/mcp.json —— 键名是 servers）
{
"servers": {
"felixfangx-felixfangx": {
"command": "npx",
"args": ["-y", "lakeboard-converter"]
}
}
}VS Code 顶层键是 <code>servers</code>，其余与上面那份相同。
Claude Code（命令行）
claude mcp add --transport stdio felixfangx-felixfangx -- npx -y lakeboard-converter
Claude Code 不收 JSON 文件，用这条命令直接加。
配置项的键名以你的客户端为准：客户端与 CLI
- ★ 数取值
- 0 ★ · FelixFangX/FelixFangX · 取自该仓库的 GitHub 页面 · （2026-11-13 20:00:50 核对）
- 来源明细
- 从该仓库的 GitHub 页面直接读取 · 条目类型：开源项目
- 收录与活跃
- 收录于 2026-10-22 · 最近见到 2026-11-14 · 共见到 27 次 · 被 1 个来源列出
- 评分构成
- 综合分 103 · 1 个来源 · repo
- 安装
npx -y lakeboard-converter
常见问题（答案都来自我们的记录）
怎么安装？
该仓库给出的安装命令是
npx -y lakeboard-converter。我们的记录里它是仓库自己提供的；不保证在你的客户端上直接可用。它适合谁 / 用来做什么？
我们把它归在这些标签下: 开源项目。标签来自条目自身，不是我们强加的分类。
谁维护它、还在更新吗？
仓库
FelixFangX/FelixFangX；我们收录于 2026-10-22；最近见到 2026-11-14。这里没有"官方认证"或"质量评级"——我们只记录来源与时间。ledring.dev · my site · play LEDRING · X @ColeFangX
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
> Fast software, careful UI, open source, and an iced americano.
## Try it
I write code for humans and agents. Most of it is small and open source: a mind map converter, a research helper, and a game about reviewing what an AI builder does.
sh
npx -y lakeboard-converter mcp
ledring.dev · X @ColeFangX
## ▶ Flagship: LEDRING
Play LEDRING in your browser. You watch an AI builder make a web page and decide what gets through. The free built-in AI needs no key; the game is in English and Chinese (Simplified). Under the hood it is a toolkit that replays agent traces as branch trees and scores how far a run drifted from its instruction. Repo →
## The control room
My agents run the repetitive parts of work and life. I stay in the loop where judgment matters: what to build, how to test it, and whether it actually works.
| Agent layer | What it takes off my plate |
| research-thinking-ai | Turns a vague research interest into evidence-tiered directions · live |
| n8n-workflow-collection | Lark/Feishu bot messages → Bitable records and PRD drafts; social metrics tracking |
| tech-news-digest (private) | Papers, GitHub Trending and Stack Overflow, ranked to my interests every morning |
| lakeboard-converter | Yuque Lakeboard / XMind → Markdown that agents can read · live |
| dev-work-grok-bot-skill | A Grok Bot skill that sets up a careful developer assistant: repos, tracker, team chat, preview tests, with a secret/PII checker |
| ledring | Status lights for my agents: replays many runs as one branch tree with divergence %, and scores how far a run drifted from its instruction. Claude Code + OpenTelemetry GenAI traces |
## Live system map
Sense → think → act. Built daily from GitHub Actions runs and committed eval results only; failing runs show as failing. Agents: read llms.txt or status.json.
## Now building: Become Human
A personal memory layer for agents that is portable (plain files, any model), private (stays on your disk), and correctable (you can see and fix what it believes about you).
## Agent log
Pulled from my public GitHub activity by a daily Action. Real events only.
| date (UTC) | repo | latest commit |
| 2026-10-25 | dashtaste | docs(launch): refresh drafts for 0.0.7 cases and pack-file |
| 2026-10-23 | ledring | feat(play-strands): add GET / and /health discovery for api.ledring.dev |
| 2026-10-20 | research-thinking-ai | eval: run llm mode on Workers AI and publish results (#22) |
## Try it
I write code for humans and agents. Most of it is small and open source: a mind map converter, a research helper, and a game about reviewing what an AI builder does.
sh
npx -y lakeboard-converter mcp
ledring.dev · X @ColeFangX
## ▶ Flagship: LEDRING
Play LEDRING in your browser. You watch an AI builder make a web page and decide what gets through. The free built-in AI needs no key; the game is in English and Chinese (Simplified). Under the hood it is a toolkit that replays agent traces as branch trees and scores how far a run drifted from its instruction. Repo →
## The control room
My agents run the repetitive parts of work and life. I stay in the loop where judgment matters: what to build, how to test it, and whether it actually works.
| Agent layer | What it takes off my plate |
| research-thinking-ai | Turns a vague research interest into evidence-tiered directions · live |
| n8n-workflow-collection | Lark/Feishu bot messages → Bitable records and PRD drafts; social metrics tracking |
| tech-news-digest (private) | Papers, GitHub Trending and Stack Overflow, ranked to my interests every morning |
| lakeboard-converter | Yuque Lakeboard / XMind → Markdown that agents can read · live |
| dev-work-grok-bot-skill | A Grok Bot skill that sets up a careful developer assistant: repos, tracker, team chat, preview tests, with a secret/PII checker |
| ledring | Status lights for my agents: replays many runs as one branch tree with divergence %, and scores how far a run drifted from its instruction. Claude Code + OpenTelemetry GenAI traces |
## Live system map
Sense → think → act. Built daily from GitHub Actions runs and committed eval results only; failing runs show as failing. Agents: read llms.txt or status.json.
## Now building: Become Human
A personal memory layer for agents that is portable (plain files, any model), private (stays on your disk), and correctable (you can see and fix what it believes about you).
## Agent log
Pulled from my public GitHub activity by a daily Action. Real events only.
| date (UTC) | repo | latest commit |
| 2026-10-25 | dashtaste | docs(launch): refresh drafts for 0.0.7 cases and pack-file |
| 2026-10-23 | ledring | feat(play-strands): add GET / and /health discovery for api.ledring.dev |
| 2026-10-20 | research-thinking-ai | eval: run llm mode on Workers AI and publish results (#22) |
收录徽章（可选）
想把收录标记放进 README 就复制这行，可选，不影响收录。
[](https://anclum.com/zh/s/felixfangx-felixfangx/)
- 来源
- github · https://github.com/FelixFangX/FelixFangX
- 按领域浏览
- 开源项目
- 收录于
- 今天
- 安全策略
- 我们没在该仓库根目录找到
SECURITY.md（这不代表不安全）
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每个标签都能点进去看同类的全部条目。数字是当前库里的真实条数。