teamnebula-ai/tmn-fdekit

Team Nebula's forward-deployed engineering kit: staff-level skills, guard hooks and zero-token tracing for…

Before you install: no copy-paste command · license MIT · link reachable

First step: npx -y github:teamnebula-ai/tmn-fdekit install # finds the agents on this machine

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": {
    "teamnebula-ai-tmn-fdekit": {
      "command": "npx",
      "args": ["-y", "github"]
    }
  }
}

Parsed from the README we fetched on 2026-11-09; 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": {
    "teamnebula-ai-tmn-fdekit": {
      "command": "npx",
      "args": ["-y", "github"]
    }
  }
}

Same server, but VS Code keeps it under <code>servers</code>.

Claude Code (command line)

claude mcp add --transport stdio teamnebula-ai-tmn-fdekit -- npx -y github

Claude Code does not read a config file; add the server with this command.

Key names differ by client: Clients & CLI

Star count: 0 ★ · teamnebula-ai/tmn-fdekit · read from the GitHub search API · (checked 2026-11-13 20:00:50)
Source: read directly from its GitHub page · type: open-source project
Harvest history: first seen 2026-11-10 · last seen 2026-11-14 · seen 5× · listed by 1 sources
Score: score 103 · 1 sources · repo
Install: npx -y github

FAQ (answers come from our records)

How do I install it?

The repository provides this install command: npx -y github. 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: Agent 技能. The tags come from the entry itself, not a taxonomy we imposed.

Who maintains it?

repository teamnebula-ai/tmn-fdekit；first catalogued 2026-11-10；last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.

# tmn-fdekit

以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →

Staff-level engineering discipline for coding agents, from Team Nebula.
Agents don't usually fail by writing bad code. They fail by saying something
untrue with confidence: "tests pass", "merged", "reviewed". They also approve
their own work, post ten comments where one would do, and call a diff-only
read a review. This plugin makes the good habits the easy path, and makes the
amateur ones impossible.
Skills hold the judgement: how to review adversarially, prove a change
works, ship a small honest PR, answer review, debug from evidence, harden,
write for people, and design UI that doesn't look generated.
Hooks and scripts hold every rule that is a yes/no on data, so no model
has to remember it and no prompt can talk its way past it.
Tracing records everything the agent did at zero model-token cost, and
can send Claude Code's own telemetry to Langfuse, Phoenix or any
OpenTelemetry backend.
> Use at your own judgement. Agents with these skills push code, post
> reviews and send messages. You're responsible for what they do. Read
> DISCLAIMER.md first.
## Install (for people)
You need git, python3 3.10+ and, for the installer, node 18+. gh is
needed for the GitHub checks, and docker only for compose projects.
Claude Code gets everything: skills, review agents and every hook.
bash
claude plugin marketplace add teamnebula-ai/tmn-fdekit
claude plugin install tmn-fdekit@tmn-fdekit
Restart Claude Code, then type /tmn-fdekit: to see the skills. To update
later: claude plugin marketplace update tmn-fdekit && claude plugin update tmn-fdekit@tmn-fdekit.
Codex, Cursor, Gemini CLI, Copilot, Windsurf/Devin, OpenCode or Amp:
bash
npx -y github:teamnebula-ai/tmn-fdekit install # finds the agents on this machine
npx -y github:teamnebula-ai/tmn-fdekit install --target codex,cursor --project # into this repo only
npx -y github:teamnebula-ai/tmn-fdekit hooks --target codex # Codex runs the guard hooks too
Claude.ai or Claude Desktop: run npx -y github:teamnebula-ai/tmn-fdekit zip,
then upload each zip in Customize › Skills.
Check it worked: npx -y github:teamnebula-ai/tmn-fdekit doctor lists the
tools it found and where the skills are installed.
Then fit it to your team: ask your agent to "set up the kit". See
Make it yours. After that, ask for real work ("review PR
#12", "make docs for this repo") and it picks the matching skill.
To pin a version, add the tag: github:teamnebula-ai/tmn-fdekit#v0.6.1. To
remove it: npx -y github:teamnebula-ai/tmn-fdekit uninstall (and
hooks --remove), which only deletes what it installed.
## Install (for agents)
Agents: follow INSTALL.md. It works the same in Claude Code,
Codex, Antigravity, Cursor, OpenCode, Gemini CLI, Copilot, Windsurf/Devin, Amp
and any agent that reads ~/.agents/skills: check the tools, pick the target,
install, confirm with doctor, then offer tmn-setup. You can also point an
agent at this repo and say "install this kit"; AGENTS.md, .claude/CLAUDE.md,
GEMINI.md and llms.txt all send it to the same steps.
Once installed, load tmn-staff-bar at the start of real engineering work.
It sets the ground rules, the run mode and the team rules the other skills
follow.
| Doc | Covers |
| Getting started | install to first receipt in ten minutes |

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Source: github · https://github.com/teamnebula-ai/tmn-fdekit
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