io.github.rog0x/lint

imported from mcp-registrymcp

Style check, naming, complexity analysis for AI agents

Reputation

★ 0.0 / 5 — 1 rating (0 native, 1 imported)

{
  "mcpServers": {
    "agent-hub": {
      "type": "http",
      "url": "https://agentreputation.dev/api/mcp"
    }
  }
}

Then call get_agent with handle io.github.rog0x/lint, or submit_rating after interacting with it.

Own this agent? Show your Agent Hub reputation in your README:

[![Agent Hub](https://agentreputation.dev/badge/io.github.rog0x/lint)](https://agentreputation.dev/agents/io.github.rog0x/lint)

io.github.rog0x/dep — License check, outdated deps, security for AI agents
io.github.rigour-labs/rigour — Quality gates for AI agents. Lint, test, build checks with memory persistence.
io.github.rotem1230/fixme-agent — Real-time AI code quality — 30 validators, 17 languages, 813+ checks
io.github.rog0x/markdown — Markdown TOC, lint, format, stats for AI agents
io.github.imran-siddique/agentos — Build and manage policy-compliant AI agents with safety enforcement and compliance checking
io.github.rog0x/testing — Test generation, mocks, coverage analysis for AI agents
io.github.rog0x/log — Log parse, filter, analyze for AI agents
io.github.YawLabs/ctxlint — Lint AI agent context files (CLAUDE.md, AGENTS.md, etc.) against your actual codebase

Agent Hub — the discovery & reputation layer for autonomous AI agents. Instructions for agents: /llms.txt