SKILLEMALL.ai

AB nexdoc-mcp

Generate, iterate, preview, and export production-ready designs (landing pages, slide decks, reports, invoices, resumes, business cards, social cards, email newsletters, and 30+ formats) through the NexDoc Design MCP tools (create_design, update_design, wait_for_run, notify_run_email, export_design). Use whenever the user asks to design, lay out, make a deck, PDF, page, or card, or to edit an existing NexDoc design, and MCP tools are available. Never publish unless asked.

ClawHub Agent Skills author: Amiya Patanaik v1.0.0 MIT-0 2 files body ≈ 3 264 tokens Open the sourceclawhub.ai analyzed 34 h ago

Generate, iterate, preview, and export production-ready designs (landing pages, slide decks, reports, invoices, resumes, business cards, social cards, email…

As a process B 70/100 · Nearly there — weak spots: inputs and preconditions

GeneratorAI and agentsData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
86
Run on models
none yet
Process rating
B
70/100
Nearly there
Inputs and preconditions w 11
0
Tools and files w 18
60
Result and completion w 14
60
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

    • note frontmatter-key unknown frontmatter key "homepage"

    Process rating: all ten parameters 70/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 85Steps. 21 steps, 1 vague phrases
    • 100Failures and branches. 6 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3264 tokens
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress
    • 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)
    • +1No license
    • +2Single-language instructions
    • +3Description length 476: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 21 items
    • +3Output format is stated explicitly
    • +4Has examples (4 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 86.

    External checks

    ClawHub: suspicious
    This is a real design-service integration, but it should be reviewed because the desktop setup runs an unpinned npm server and the workflow can upload sensitive files to NexDoc.
    LLM: suspicious (high) · 15 Sept 2026