# sightglass

> sightglass — davidgeorgehope-sightglass. Use this tool when you need to monitor and manage dependencies in your project, solving issues of bloated or unnecessary imports that can slow down development and increase security risks. The Sightglass tool takes in project code and dependency lists as input and outputs optimized dependency configurations. Use it when adding new dependencies or noticing performance declines to streamline your project's dependencies.

Canonical page: https://skillsregistry.net/skills/davidgeorgehope-sightglass  
JSON: https://api.skillsregistry.net/v1/skills/davidgeorgehope-sightglass

## Description

Your AI coding agent just added 47 dependencies to your project.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** scanned
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-09-28

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/davidgeorgehope-sightglass)

## 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": "davidgeorgehope-sightglass"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/davidgeorgehope-sightglass` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/davidgeorgehope-sightglass/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