skill-lint
Related Servers
Alternatives to skill-lint
No user-submitted related servers found.
Related Servers
- AlicenseAqualityDmaintenanceStatic security linter for MCP servers. Scans tool definitions for vulnerabilities (path traversal, SQL injection, SSRF), scores description quality, and auto-rewrites descriptions for safer agent tool selection.210MIT
- AlicenseAqualityAmaintenanceSecurity scanner for third-party AI agent-skill files: SKILL.md manifests, hooks, and bundled scripts, exposed via an MCP tool.1149 npm1Apache 2.0

meok-agents-md-lint-mcpofficial
AlicenseNot gradedqualityCmaintenanceValidates AGENTS.md files against the cross-vendor coding-agent spec, detecting security smells and consistency issues.MIT- FlicenseNot gradedqualityBmaintenancePolicy-as-code gate for AI-SDLC, providing MCP tools to review prompts, diff tool manifests, vet MCP servers, and run evaluation suites for LLM agent repos.1-
- AlicenseNot gradedqualityBmaintenanceAudits AI agent skills for safety using static, semantic, adversarial, and supply-chain analysis, providing scores and risk flags. Can be run via CLI, CI, or as an MCP tool from Claude Code, Cursor, and Codex.2Apache 2.0
- AlicenseNot gradedqualityAmaintenancePerforms explainable, deterministic static analysis of MCP tool metadata to detect misleading instructions, concealed capabilities, and schema drift without executing tools.1MIT
TDQS
Scored across 2 tools
The two tools are cleanly separated by input target: lint_skills operates on SKILL.md files/directories, while lint_mcp_tools operates on MCP tool schema JSON. There is no realistic way to confuse the two, since each description names a distinct artifact and use case.
Both names follow an identical verb_noun pattern (lint_skills, lint_mcp_tools) with consistent snake_case and a shared 'lint_' prefix that signals the server's purpose. Fully predictable.
Two tools map directly to the server's two linting domains, so each earns its place and the surface is tightly scoped. It is slightly thin—there is no config, list, or fix operation—but not unreasonably so for a focused linter.
The linter covers both advertised domains and reports a broad range of issues (descriptions, naming, size, duplicates, similarity, token cost). Missing auto-fix or rule-configuration operations are minor gaps an agent can work around.