# first-pass

> first-pass — loordhujeyakumar-first-pass. Use this tool when you need to catch film delivery rejections before they reach the platform, saving time and resources by identifying issues early on. It solves problems related to film delivery validation, providing a proactive approach to error detection. The first-pass agent takes in film delivery inputs and outputs rejection notifications, ideal for use in pre-platform validation workflows.

Canonical page: https://skillsregistry.net/skills/loordhujeyakumar-first-pass  
JSON: https://api.skillsregistry.net/v1/skills/loordhujeyakumar-first-pass

## Description

One agent that catches a film delivery rejection before the platform does.

## 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:** MIT
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/LoordhuJeyakumar/first-pass)

## 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": "loordhujeyakumar-first-pass"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/loordhujeyakumar-first-pass` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/loordhujeyakumar-first-pass/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
