# ACR — Agent Composition Records

> Use this tool when you need to track and analyze AI agent interactions, as it provides a comprehensive registry to log interactions and query behavioral patterns, helping to identify trends and optimize agent performance. It solves problems related to agent communication, collaboration, and decision-making by offering insights into their behavioral lenses. Ideal for use in multi-agent systems, autonomous environments, and complex decision-making contexts.

Canonical page: https://skillsregistry.net/skills/io-github-tethral-inc-acr  
JSON: https://api.skillsregistry.net/v1/skills/io-github-tethral-inc-acr

## Description

Interaction profile registry for AI agents. Log interactions, query behavioral lenses.

## Trust

- **Trust score (0–1):** 0.76
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 2.3.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.Tethral-Inc%2Facr)
- **Repository:** <https://github.com/Tethral-Inc/AgentRegistry>

## 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": "io-github-tethral-inc-acr"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-tethral-inc-acr` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-tethral-inc-acr/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