F
FelixFangX/FelixFangX
Felix Fang's GitHub profile, with daily GitHub activity and status maps for my agent tools
no SECURITY.md
View on GitHub ↗Link checked 2026-11-12 · HTTP 200 · opens the vendor's own site
Install & config
Client config (built from the install command this repo gives)
{
"mcpServers": {
"felixfangx-felixfangx": {
"command": "npx",
"args": ["-y", "lakeboard-converter"]
}
}
}Parsed from the README we fetched on 2026-10-26; we have not executed it.
command/args come from the install command the repository states. When it is ambiguous, the project README wins.
VS Code (.vscode/mcp.json - the key is servers)
{
"servers": {
"felixfangx-felixfangx": {
"command": "npx",
"args": ["-y", "lakeboard-converter"]
}
}
}Same server, but VS Code keeps it under <code>servers</code>.
Claude Code (command line)
claude mcp add --transport stdio felixfangx-felixfangx -- npx -y lakeboard-converter
Claude Code does not read a config file; add the server with this command.
Key names differ by client: Clients & CLI
- Star count
- 0 ★ · FelixFangX/FelixFangX · read from the repository page · (checked 2026-11-13 20:00:50)
- Source
- read directly from its GitHub page · type: open-source project
- Harvest history
- first seen 2026-10-22 · last seen 2026-11-14 · seen 27× · listed by 1 sources
- Score
- score 103 · 1 sources · repo
- Install
npx -y lakeboard-converter
FAQ (answers come from our records)
How do I install it?
The repository provides this install command:
npx -y lakeboard-converter. It comes from the repository itself; we cannot guarantee it runs as-is in your client.Who is it for?
We filed it under these tags: 开源项目. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository
FelixFangX/FelixFangX；first catalogued 2026-10-22；last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.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) |
Listed badge (optional)
Copy this line into the README if you want the listing mark. Optional, and it does not affect being listed.
[](https://anclum.com/en/s/felixfangx-felixfangx/)
- Source
- github · https://github.com/FelixFangX/FelixFangX
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