# lenses

> lenses — storybloq-lenses. Use this tool when you need to streamline code review processes and identify potential issues in your codebase, such as security vulnerabilities, performance bottlenecks, and test quality problems. It takes in Git code repositories as input and outputs structured verdicts across multiple categories, including security, performance, and clean code. Ideal for use in collaborative development environments where thorough and efficient code review is crucial.

Canonical page: https://skillsregistry.net/skills/storybloq-lenses  
JSON: https://api.skillsregistry.net/v1/skills/storybloq-lenses

## Description

Multi-lens code review MCP server for Claude Code. 8 specialized reviewers run in parallel and return structured verdicts (security, performance, test quality, clean code, and more).

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/Storybloq/lenses)

## 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": "storybloq-lenses"
    }
  }
}
```

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