# pyspam

> pyspam — sanchitram1-pyspam. Use this tool when you need to detect and identify spammy Python packages, saving you from potential security risks and malicious code. The pyspam ML model takes in GitHub repository information as input and outputs a spam detection result, helping you to avoid compromised packages. Ideal for developers and maintainers looking to ensure the integrity of their project dependencies.

Canonical page: https://skillsregistry.net/skills/sanchitram1-pyspam  
JSON: https://api.skillsregistry.net/v1/skills/sanchitram1-pyspam

## Description

An ML model to detect spammy python packages

## Trust

- **Trust score (0–1):** 0.85
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/sanchitram1/pyspam)

## 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": "sanchitram1-pyspam"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sanchitram1-pyspam` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sanchitram1-pyspam/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