CC-Meta (Prompt Evaluator)
CC-Meta (Claude Code Metaprompter) provides AI-powered prompt evaluation capabilities through an MCP server that analyzes prompts for clarity, specificity, and effectiveness using OpenAI or Anthropic models. Built with TypeScript and the Vercel AI SDK, it offers two core tools: a ping function for connection testing and an evaluate function that provides detailed feedback including numerical scores, strengths analysis, improvement suggestions, and rewrite recommendations. The implementation supports multiple AI models (OpenAI's o3, Anthropic's Claude Opus-4 and Sonnet-4) with flexible API key configuration, includes a convenient slash command interface (/meta), and features customizable evaluation criteria stored in a separate prompt template file, making it ideal for developers who want to iterate on their Claude Code prompts without leaving their terminal workflow.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- ai-ml
- Source
- PulseMCP
- Repository
- github.com/areznik23/cc-meta
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve CC-Meta (Prompt Evaluator) from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.