SKILLEMALL.ai

AB anthropic-connector-submit

Prepare and submit an MCP server to Anthropic's Connectors Directory. Use this skill whenever the user wants to list their MCP server on Claude's connector marketplace, submit to Anthropic's directory, get their MCP server featured in Claude Desktop or claude.ai, or prepare a connector submission. Also triggers on: 'submit to Anthropic', 'Claude connector directory', 'list on Claude marketplace', 'Anthropic MCP submission', 'get listed in Claude connectors', 'MCP directory submission form'. Even if the user just says 'how do I get my MCP server in the Claude directory' or 'I want Claude users to find my server', use this skill.

ClawHub Agent Skills author: Luca v1.0.0 MIT-0 2 files body ≈ 2 101 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 65/100 · Nearly there — weak spots: result and completion, progress reporting

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
85
Run on models
none yet
Process rating
B
65/100
Nearly there
Result and completion w 14
0
Progress reporting w 2
0
Failures and branches w 10
55
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 0

    ✓ No critical or high findings

    Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 65/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 55Failures and branches. 1 branches
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 89 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2101 tokens
    • 100Running it twice. Mutating operations check current state
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +2Single-language instructions
    • +3Description length 635: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 89 items
    • +4Has examples (2 code blocks)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.

    External checks

    ClawHub: clean
    This is an instruction-only checklist for submitting an MCP server to Anthropic’s connector directory, with no code execution or hidden behavior found.
    LLM: benign (high) · VirusTotal: · 29 May 2026