# humanagentprotocol

> humanagentprotocol — spinualexandru-humanagentprotocol. Use this tool when you need to facilitate seamless collaboration between humans and autonomous AI agents, enabling efficient decision-making and error handling. The Human Agent Protocol (HAP) solves problems of latency, auditing, and agent blocking by structuring requests and timeouts, and accepts inputs such as decision requests and outputs auditable tickets. Use HAP in contexts where reliable human-AI interaction is crucial, such as in complex decision-making workflows or mission-critical applications.

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

## Description

A universal protocol for symbiotic collaboration between humans and autonomous AI agents.  HAP enables AI agents to request human decisions in a structured, auditable, and latency-safe manner. Agents never block — they create tickets with defined timeout behaviors, allowing graceful degradation or escalation.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** Apache-2.0
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/spinualexandru/humanagentprotocol)

## 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": "spinualexandru-humanagentprotocol"
    }
  }
}
```

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