# context

> context — eagle-logic-context. Use this tool when you need to analyze and understand the relationships between code components, such as call graphs and blast radius, to inform coding decisions and ensure cross-language compatibility. It solves problems like identifying breaking changes and maintaining port parity, providing a queryable code graph interface that takes in code repositories and outputs insightful graphs and metrics. Ideal for use in git-based development workflows, ctx streamlines coding agent operations without requiring a Language Server Protocol (LSP).

Canonical page: https://skillsregistry.net/skills/eagle-logic-context  
JSON: https://api.skillsregistry.net/v1/skills/eagle-logic-context

## Description

ctx — a queryable code graph for coding agents, across Rust, Python, TypeScript and Go. Call graphs, blast radius, breaking-change gates, port parity. One binary, no LSP, no index.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/Eagle-Logic/context)

## 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": "eagle-logic-context"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/eagle-logic-context` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/eagle-logic-context/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