Moltline SKILL.md Lint

Lint a SKILL.md for frontmatter, structure, secrets and size.

CommunityOnlineNo sign-inGlobalFreeRead-only

What it can do

  • Lint Skill: Lint one SKILL.md file the way marketplaces and agents parse it. FREE. Checks YAML frontmatter presence and required fields (name, description), description quality, body structure (proced
  • Packaging Check: Validate a zip layout plan for a skill marketplace before packaging. FREE. Checks SKILL.md placement rules and flags junk files. Typical input {"file_paths": ["my-skill/SKILL.md", "my
  • Regex Test: Test a regular expression against sample strings. FREE. Typical input {"pattern": "v(\\d+)", "samples": ["v12", "beta"]} returns {"pattern": ..., "results": [{"sample": "v12", "match": tru

What data it sees

Do you need an account

No: the server works without sign-in

Lint a SKILL.md for frontmatter, structure, secrets and size. All 6 tools free.

Part of Moltline Studio: 22 hosted MCP servers, 160 tools, 110 of them free — no account, no API key, no signup. Independently audited — MCPize Verified A.

Direct endpoint: https://mcp.moltlinestudio.com/skillmd-lint

How to connect

How to connect Moltline SKILL.md Lint to Claude

The server address to paste into Claude settings:

https://skillmd-lint--techdpr.run.tools

  1. Open Claude (claude.ai or the desktop app).
  2. Go to Settings → Connectors.
  3. Click Add custom connector.
  4. Paste the server address copied below into Remote MCP server URL and click Add.
  5. In a chat, click + → Connectors and switch the new connector on.

Custom connectors are available on Free, Pro, Max, Team and Enterprise plans (Free is limited to one). On Team and Enterprise an organization Owner adds the connector first under Organization settings → Connectors.

Authorization

After you click Add, a sign-in window for the service opens. Sign in with your own account and approve access. Claude never sees your password.

How to connect Moltline SKILL.md Lint to ChatGPT

The server address to paste into ChatGPT settings:

https://skillmd-lint--techdpr.run.tools

  1. Open ChatGPT in a browser (chatgpt.com). A Plus, Pro, Business, Enterprise or Edu plan is required.
  2. Turn on developer mode once: Settings → Apps → Advanced settings → Developer mode.
  3. Open Settings → Connectors and click Create.
  4. Fill in the form: Name (anything), Description (one line about what the service does), MCP server URL (copy it below).
  5. Under Authentication choose OAuth if the service requires sign-in, otherwise None. Click Create.
  6. In a new chat open + → Apps/Connectors and enable the connector.

OpenAI has renamed this section before (Connectors → Apps/Plugins). If the label differs, search settings for "developer mode". On Business/Enterprise workspaces an admin must allow custom connectors first.

Authorization

On first use ChatGPT opens the service's sign-in window. Sign in and approve access.

How to connect Moltline SKILL.md Lint to Cursor

The server address to paste into Cursor settings:

https://skillmd-lint--techdpr.run.tools

Fastest: click Open in Cursor below and confirm the prompt.

Manually:

  1. In Cursor open Settings → Cursor Settings → MCP and click Add new global MCP server.
  2. Paste the JSON copied below into ~/.cursor/mcp.json (per project: .cursor/mcp.json in the repo root).
  3. Save the file. The server appears in the MCP list; authorize it there if asked.

Authorization

If the service needs sign-in, an authorize button appears next to the server in the MCP list.

Server tool list (6)

Raw names from tools/list. Only developers need these.

lint_skillLint one SKILL.md file the way marketplaces and agents parse it. FREE. Checks YAML frontmatter presence and required fields (name, description), description quality, body structure (procedure steps, rules, degradation), secret/credential leakage, injection-style phrasing, and size budget. Typical input {"content": "<full SKILL.md text>"} returns {"verdict": "pass" | "pass-with-warnings" | "fail", "errors": ["..."], "warnings": ["..."], "stats": {"body_words": N, "has_frontmatter": bool}}. Use on the full text of one SKILL.md. Not for the surrounding archive layout (packaging_check). Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "content is empty — pass the full SKILL.md text including frontmatter"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
packaging_checkValidate a zip layout plan for a skill marketplace before packaging. FREE. Checks SKILL.md placement rules and flags junk files. Typical input {"file_paths": ["my-skill/SKILL.md", "my-skill/examples.md"], "marketplace": "agensi"} returns {"verdict": "pass" | "fail", "issues": ["..."], "skill_files_found": ["my-skill/SKILL.md"]}. Use on a planned file layout, before zipping. Not for the content of a skill file (lint_skill). Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "file_paths is empty — list every file that will be inside the zip"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
regex_testTest a regular expression against sample strings. FREE. Typical input {"pattern": "v(\\d+)", "samples": ["v12", "beta"]} returns {"pattern": ..., "results": [{"sample": "v12", "match": true, "matched_text": "v12", "groups": ["12"]}, {"sample": "beta", "match": false, ...}], "match_count": 1}. Use to confirm a pattern matches what you expect before shipping it. Not for validating JSON (json_validate). Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "invalid regex: <value>"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
json_validateValidate JSON text and summarize its structure. FREE. Typical input {"text": "{\"a\": [1, 2]}"} returns {"valid": true, "structure": {"a": ["array[2]", "int"]}}; invalid JSON returns {"valid": false, "error": "<parser message>", "line": N, "column": N} instead. Use when JSON may be malformed or its shape is unknown. Reports structure, not conformance to a schema. Not for testing a pattern (regex_test). Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "text is empty — pass the JSON document as a raw string"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
diff_textsProduce a unified diff between two texts. FREE. Useful for comparing two SKILL.md versions. Typical input {"a": "<old text>", "b": "<new text>"} returns {"changed_lines": N, "diff": "--- \n+++ \n@@ ... @@\n-old line\n+new line"}; identical inputs return {"changed_lines": 0, "diff": "(identical)"}. The diff is capped at 400 lines. Use to show exactly what changed between two versions of a text. Not for judging the risk of a code change - the codereview server's review_diff does that. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "each text must be at most 500000 characters"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.
cron_explainExplain a 5-field cron expression in plain English and flag mistakes. FREE. Typical input {"expression": "0 9 * * 1-5"} returns {"expression": "0 9 * * 1-5", "meaning": "at minute 0; at hour 9; every day of month; every month; day of week 1-5", "issues": ["none"]}; out-of-range fields are listed in "issues". Use to read a schedule back in plain English before trusting it. Assumes 5-field cron; not for 6-field or seconds-precision variants. Errors: on invalid, missing, or malformed input this tool never raises a protocol error — it returns {"error": "<what is wrong and how to fix it>"} (for example {"error": "expected 5 fields, got <value>"}). Every call is read-only and idempotent, so after correcting the input it is always safe to retry.