# io.github.sgroy10/speclock

> Use this tool when you need to enforce constraints and rules in AI systems, solving problems related to consistency and compliance with predefined laws and regulations. It takes in CLAUDE.md and .cursorrules files as inputs and outputs enforced constraints, utilizing 51 MCP tools to ensure adherence to specified rules. Ideal for use cases requiring strict enforcement of AI constraints, such as in high-stakes decision-making or regulated industries.

Canonical page: https://skillsregistry.net/skills/io-github-sgroy10-speclock  
JSON: https://api.skillsregistry.net/v1/skills/io-github-sgroy10-speclock

## Description

AI Constraint Engine — enforces CLAUDE.md and .cursorrules as laws. 51 MCP tools.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** unverified

## Facts

- **Version:** 5.5.3
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-04-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.sgroy10%2Fspeclock)
- **Repository:** <https://github.com/sgroy10/speclock>

## 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-sgroy10-speclock"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-sgroy10-speclock` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-sgroy10-speclock/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