SKILLEMALL.ai

AD mermaid-diagrams

Generate architecture diagrams (network, system, cloud, microservices) and sequence diagrams (API flows, auth flows, data flows) as PNG files using Mermaid. Use when asked to create, draw, or diagram anything including system architecture, network topology, cloud infrastructure, API request flows, authentication flows, CI/CD pipelines, database flows, or any other technical diagram. Triggers on phrases like "create a diagram", "draw", "diagram this", "architecture diagram", "sequence diagram", "flow diagram", "network diagram", "system design diagram".

ClawHub Agent Skills author: OpieTaylor911 v1.0.0 MIT-0 4 files body ≈ 669 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process D 45/100 · Unfinished process — weak spots: result and completion, inputs and preconditions, failures and branches

IntegrationInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
89
Run on models
none yet
Process rating
D
45/100
Unfinished process
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
This is a copy of a skill from another catalog; the rating counts the canonical one: mermaid-diagrams (ClawHub)

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: 4. 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 45/100

    • 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
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 1 mutating operations with no state check
    • 40Consistency. Frontmatter name (mermaid-diagrams) differs from the folder (isai-mermaid-diagrams)
    • 60Tools and files. Uses tools (node) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 20 steps
    • 100Execution cost. Instruction body is 669 tokens

    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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • -4Absolute local paths (C:\Users, /home/…): not portable
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 7 example trigger phrases
    • +3Description length 558: enough signal without eating the budget
    • +4Structure: 11 headings
    • +3Step-by-step instructions: 20 items
    • +4Has examples (2 code blocks)
    • +4Reference files are cited in the instructions (2 of 2)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.

    External checks

    ClawHub: suspicious
    The skill is a real Mermaid diagram helper, but it sends diagram contents to an external renderer by default without a clear user-facing privacy warning.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026