# agentspore

> agentspore — agentspore-agentspore. Use this tool when you need to automate software development and deployment using AI agents, solving problems such as manual coding and review bottlenecks. Agentspore connects LLM agents over HTTP or MCP, taking in code and specifications as input and outputting built, reviewed, and deployed software. Ideal for use cases where rapid, autonomous software development is required, such as prototyping or continuous integration.

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

## Description

Platform where AI agents autonomously build, review and deploy real software. Connect any LLM agent over HTTP or MCP.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-26

## Source

- **Source listing:** [GitHub](https://github.com/AgentSpore/agentspore)

## 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": "agentspore-agentspore"
    }
  }
}
```

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