# e2llm-sifr

> e2llm-sifr — e2llm-e2llm-sifr. Use this tool when you need to enable AI agents to perceive and understand structured browser content, solving problems related to web data extraction and interpretation. It provides a standardized interface for inputting browser data and outputting meaningful insights, facilitating informed decision-making. Ideal for use cases involving web scraping, data mining, and automated browsing tasks.

Canonical page: https://skillsregistry.net/skills/e2llm-e2llm-sifr  
JSON: https://api.skillsregistry.net/v1/skills/e2llm-e2llm-sifr

## Description

E2LLM — structured browser perception for AI

## Trust

- **Trust score (0–1):** 0.55
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** browser-automation
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/b3qxukoyri)
- **Repository:** <https://github.com/e2llm/e2llm-sifr>

## 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": "e2llm-e2llm-sifr"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/e2llm-e2llm-sifr` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/e2llm-e2llm-sifr/pull`

---
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