SKILLEMALL.ai

AC mermaid-maker

Generate, validate, render, and export Mermaid diagrams (.mmd) — flowchart, sequence, class, ER, state, gantt, git graph, mindmap, C4, pie, journey. Three backends — beautiful-mermaid scripts for themed SVG/ASCII (15 themes) and batch, mmdc for PNG/SVG/PDF, and Kroki API for no-install PNG/SVG. USE THIS SKILL when the user mentions diagram, flowchart, sequence diagram, class diagram, ER diagram, state machine, architecture, visualize, git graph, render/beautify a mermaid diagram, apply a theme, ASCII diagram, batch diagrams, 画图, 架构图, 流程图, 时序图. PROACTIVELY USE when explaining ANY system with 3+ components, API flows, authentication sequences, class hierarchies, database schemas, or state machines. Text-based syntax with fully automatic layout.

ClawHub Agent Skills author: John Do v1.0.0 MIT-0 18 files body ≈ 2 108 tokens Open the sourceclawhub.ai analyzed 14 h ago

Generate, validate, render, and export Mermaid diagrams (.mmd) — flowchart, sequence, class, ER, state, gantt, git graph, mindmap, C4, pie, journey. Three…

As a process C 58/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

AnalyzerSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
98/100
safety, quality, tests
Safety 60%
100
Quality 40%
94
Run on models
none yet
Process rating
C
58/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
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: 18. 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 58/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 60Tools and files. Uses tools (bash, web, node) that frontmatter does not declare
    • 100Steps. 16 steps
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2108 tokens
    • 100Running it twice. Mutating operations check current state
    • 100Progress reporting. Reports progress
    • low 10 top-level sections: this looks like several domains in one skill
    • high The skill tells the model to perform an irreversible action with no human approval

    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
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 752: enough signal without eating the budget
    • +4Structure: 14 headings
    • +3Step-by-step instructions: 16 items
    • +4Has examples (4 code blocks)
    • +4Reference files are cited in the instructions (6 of 6)
    • +3All 3 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 94.

    External checks

    ClawHub: suspicious
    This diagram skill is not overtly malicious, but it should be reviewed because it can automatically run npm and can send diagram contents to an external Kroki service without a clear consent gate.
    LLM: suspicious (high) · VirusTotal: · 8 Jun 2026