# humanstandards

> humanstandards — aklodhi98-humanstandards. Use this tool when you need to ensure user-centered design and accessibility in your projects, as it provides human factors research-based standards and code examples to solve usability and compliance issues. It offers an MCP server for AI-assisted validation, taking input from design specifications and outputting validation results. Ideal for use in development contexts where accessibility and user experience are crucial.

Canonical page: https://skillsregistry.net/skills/aklodhi98-humanstandards  
JSON: https://api.skillsregistry.net/v1/skills/aklodhi98-humanstandards

## Description

Human factors research translated into design standards, code examples, and an MCP server for AI-assisted validation.

## Trust

- **Trust score (0–1):** 0.58
- **Verification tier:** scanned
- **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/aklodhi98/humanstandards)

## 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": "aklodhi98-humanstandards"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aklodhi98-humanstandards` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aklodhi98-humanstandards/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