# io.github.khalomsky/syke

> Use this tool when you need to analyze the impact of AI code changes on dependencies and builds. It generates dependency graphs, detects potential cascades, and provides build gates to ensure stable AI agent deployments. Ideal for use cases where AI code modifications could have far-reaching effects on system stability and performance.

Canonical page: https://skillsregistry.net/skills/io-github-khalomsky-syke  
JSON: https://api.skillsregistry.net/v1/skills/io-github-khalomsky-syke

## Description

AI code impact analysis — dependency graphs, cascade detection, and build gates for AI agents

## Trust

- **Trust score (0–1):** 0.77
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.2.1
- **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.khalomsky%2Fsyke)
- **Repository:** <https://github.com/khalomsky/syke>

## 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-khalomsky-syke"
    }
  }
}
```

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