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@flowrail/init

v0.1.8

Published

One-shot FlowRail installer for Claude Code (default) and OpenAI Codex (--agent codex). Wires hooks, MCP server config, and skills into your repo, then probes the FlowRail server with your API key.

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Maintainers

abhartiyaabhartiya

Keywords

Readme

@flowrail/init

One-shot installer that wires FlowRail — security review for AI coding agents — into a Claude Code project: PreToolUse hooks, MCP server config, and agent-facing skills.

# 1. Sign up and mint an API key at https://flowrail.ai/settings/keys
export FLOWRAIL_API_KEY=<your key>

# 2. Run the installer from the repo you want FlowRail to protect
cd ~/code/your-repo
npx @flowrail/init@latest

What it writes:

  • .claude/settings.json — PreToolUse hooks for Write/Edit/MultiEdit + Bash. Tracked. No credentials.
  • .mcp.json — Claude Code MCP wiring. Tracked. Carries a Bearer ${FLOWRAIL_API_KEY} env-reference, never the literal key.
  • .claude/skills/flowrail-*/SKILL.md — the agent-facing skills (design-review, verify, dep-check, review-app, lineage).
  • flowrail.yaml — project config placeholder for scanner orchestration and org defaults.
  • .gitignore — appends .flowrail/ so per-session runtime state (the active design review id) stays local.

The installer finishes by probing https://api.flowrail.ai/mcp with your key to confirm end-to-end auth before exiting. A 401 gets an actionable message; transport failures get a different one.

OpenAI Codex (experimental)

npx @flowrail/init@latest --agent codex

This installs and self-tests the exact @flowrail/hook release it pins, then writes:

  • .codex/hooks.json: four exact-pinned hooks.
  • .codex/config.toml: the MCP server; the bearer comes from FLOWRAIL_API_KEY.
  • .agents/skills/ and a FlowRail section in AGENTS.md.
  • scripts/check-flowrail-codex.mjs: the readiness check.

Nothing under .claude/ changes.

Codex runs the hooks only after you trust the project and approve the hooks in /hooks. Run node scripts/check-flowrail-codex.mjs until it reports readiness: active. Details: https://flowrail.ai/docs.

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