# IAM-Agent

> IAM-Agent — rohankhollamkar-iam-agent. Use this tool when you need to establish accountability and transparency in AI agent interactions, solving problems of identity, authorization, and responsibility in complex AI workflows. The IAM-Agent provides a cryptographically secure way to track and verify the actions of AI agents, ensuring that every hop in a workflow can be traced back to an accountable human. It is particularly useful when multiple AI agents and tools are involved in a process, such as invoking other agents or triggering payments.

Canonical page: https://skillsregistry.net/skills/rohankhollamkar-iam-agent  
JSON: https://api.skillsregistry.net/v1/skills/rohankhollamkar-iam-agent

## Description

Nobody knows who an AI agent is, what it's allowed to do, or who's responsible when it does something wrong. This is arguably the single most urgent unsolved infrastructure problem in AI right now. When Agent A invokes Agent B, which calls a tool, which triggers a payment — every hop must be cryptographically provable back to an accountable human.

## Trust

- **Trust score (0–1):** 0.84
- **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/RohanKhollamkar/IAM-Agent)

## 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": "rohankhollamkar-iam-agent"
    }
  }
}
```

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