# agnt-lock

> Use this tool when you need to prevent AI agents from overwriting each other's work, solving collaboration and data integrity issues in multi-agent environments. It provides file locking and coordination capabilities via MCP tools, taking input from agent requests and outputting locked or unlocked file status. Ideal for use in shared workspace scenarios where multiple agents are accessing and modifying files simultaneously.

Canonical page: https://skillsregistry.net/skills/codewithriza-agnt-lock  
JSON: https://api.skillsregistry.net/v1/skills/codewithriza-agnt-lock

## Description

Prevents AI agents from overwriting each other's work by providing file locking and coordination via MCP tools.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/wtarse2sma)
- **Repository:** <https://github.com/codewithriza/AGNT-LOCK>

## 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": "codewithriza-agnt-lock"
    }
  }
}
```

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