# gnosis

> gnosis — shcv-it-gnosis. Use this tool when you need to extract and preserve web content with verifiable provenance for knowledge bases, as it scrapes and crawls websites to produce clean Markdown output with byte-level SHA-256 hashes and WARC archival. It solves problems of data integrity and reproducibility for large language models (LLMs) and retrieval-augmented generation (RAG) systems. It takes website URLs as input and outputs Markdown files with provenance metadata, suitable for integration with git version control.

Canonical page: https://skillsregistry.net/skills/shcv-it-gnosis  
JSON: https://api.skillsregistry.net/v1/skills/shcv-it-gnosis

## Description

Web scraper & crawler → clean Markdown with byte-level SHA-256 provenance + WARC archival for LLM/RAG knowledge bases

## Trust

- **Trust score (0–1):** 0.76
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## 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/SHCV-it/gnosis)

## 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": "shcv-it-gnosis"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/shcv-it-gnosis` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/shcv-it-gnosis/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