# hcifootprint

> hcifootprint — footprintjs-hcifootprint. Use this tool when you need to convert a web app's interaction surface into a structured graph that can be understood and planned by a Large Language Model (LLM). It solves the problem of integrating LLMs with web applications by providing a typed and traversable skill graph, enabling more efficient and automated interactions. The hcifootprint tool takes a web app's interface as input and outputs a graph that can be used for planning and automation, making it ideal for use cases where LLMs need to interact with web applications in a structured and meaningful way.

Canonical page: https://skillsregistry.net/skills/footprintjs-hcifootprint  
JSON: https://api.skillsregistry.net/v1/skills/footprintjs-hcifootprint

## Description

Turn a web app's interaction surface into a typed, traversable skill graph an LLM can plan over — the frontend sibling of footprintjs.

## Trust

- **Trust score (0–1):** 0.96
- **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/footprintjs/hcifootprint)

## 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": "footprintjs-hcifootprint"
    }
  }
}
```

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