# Second Opinion (Gemini)

> Use this tool when you need to review and analyze complex code issues with AI-powered insights, solving problems such as debugging, optimization, and security vulnerability identification. It takes in code snippets and query inputs, providing detailed or brief analysis outputs with cost estimates and token tracking. Ideal for use in software development, testing, and maintenance contexts where a reliable second opinion on coding challenges is required.

Canonical page: https://skillsregistry.net/skills/cooneycw-second-opinion  
JSON: https://api.skillsregistry.net/v1/skills/cooneycw-second-opinion

## Description

Second Opinion is a code review and analysis tool that provides AI-powered second opinions on challenging coding issues using Google Gemini models. It features streaming responses with automatic fallback between Gemini models, context caching for cost reduction, multi-turn session management with budget controls, and agentic capabilities through web search and URL fetching tools with SSRF protection. The server includes secret scanning, structured prompting with XML delimiters to prevent injection, and supports both brief and detailed analysis modes with cost estimation and token tracking.

## Trust

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

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-05-03

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/cooneycw-second-opinion)
- **Repository:** <https://github.com/cooneycw/claude-power-pack/tree/HEAD/mcp-second-opinion>

## 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": "cooneycw-second-opinion"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/cooneycw-second-opinion` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/cooneycw-second-opinion/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