# jevtrader

> jevtrader — zd87pl-jevtrader. Use this tool when you need to analyze and score SEC 8-K filings with AI-powered research, utilizing local LLMs or integrations like Jev or OpenAI to identify potential evidence. It solves problems related to financial research and due diligence by providing point-in-time scoring and labeling of results. The tool accepts SEC filings as input and outputs scored and labeled results, making it ideal for researchers and analysts who require accurate and reliable data analysis.

Canonical page: https://skillsregistry.net/skills/zd87pl-jevtrader  
JSON: https://api.skillsregistry.net/v1/skills/zd87pl-jevtrader

## Description

Local-first SEC 8-K research lab: score filings point-in-time with Jev, OpenAI or local LLMs, and label which results can count as evidence. Never places orders.

## 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:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/zd87pl/jevtrader)

## 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": "zd87pl-jevtrader"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/zd87pl-jevtrader` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/zd87pl-jevtrader/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