# agent-check

> agent-check — com-basenull-agent-check. Use this tool when you need to monitor and manage AI agent processes, such as starting and completing runs, and submitting evidence for specific tasks. It solves problems related to process tracking, task management, and evidence collection for AI agents. The tool accepts inputs like task assignments and run status, and outputs process monitoring data and task completion reports.

Canonical page: https://skillsregistry.net/skills/com-basenull-agent-check  
JSON: https://api.skillsregistry.net/v1/skills/com-basenull-agent-check

## Description

Process monitoring for AI agents: start runs, submit per-task evidence, complete runs.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-03

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.basenull%2Fagent-check)

## Use it

MCP endpoint published by the skill: `https://agent-check.basenull.com/api/mcp/{token}`

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": "com-basenull-agent-check"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-basenull-agent-check` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-basenull-agent-check/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