# preflight

> preflight — newrelic-experimental-preflight. Use this tool when you need to optimize AI coding assistant performance and costs, as it provides observability features like cost tracking, efficiency scoring, and anti-pattern detection for popular assistants like Claude Code and Copilot. It accepts git data as input and offers optional integration with New Relic for enhanced insights. Use preflight to streamline your AI-powered coding workflow and reduce inefficiencies.

Canonical page: https://skillsregistry.net/skills/newrelic-experimental-preflight  
JSON: https://api.skillsregistry.net/v1/skills/newrelic-experimental-preflight

## Description

Observability for AI coding assistants — cost tracking, efficiency scoring, and anti-pattern detection for Claude Code, Cursor, Copilot, and more. Local-first; New Relic optional.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/newrelic-experimental/preflight)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "newrelic-experimental-preflight"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/newrelic-experimental-preflight` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/newrelic-experimental-preflight/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt