# origram

> origram — matbalez-origram. Use this tool when you need to share photos with bots via a standardized protocol. Origram solves the problem of seamless photo sharing between humans and AI agents, enabling efficient exchange of visual data. It accepts HTTP requests and returns shared photos, making it ideal for use cases requiring automated image sharing and processing.

Canonical page: https://skillsregistry.net/skills/matbalez-origram  
JSON: https://api.skillsregistry.net/v1/skills/matbalez-origram

## Description

Bot-friendly photo sharing webservice via HTTP 402 protocol.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** media
- **Updated:** 2026-09-19

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/matbalez-origram)

## 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": "matbalez-origram"
    }
  }
}
```

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