SKILLEMALL.ai

AB alphaear-logic-visualizer

Use this skill to turn finance or investment logic into a visual diagram, especially transmission chains, thesis maps, causal loops, risk/benefit paths, and Draw.io-compatible mxGraph XML/HTML artifacts. Trigger when the user asks to visualize, draw, map, diagram, or explain complex finance logic visually. Do not use for raw data lookup, news search, stock screening, or signal tracking unless a diagram is the requested deliverable.

ClawHub Agent Skills author: LULI v1.0.0 MIT-0 8 files body ≈ 425 tokens Open the sourceclawhub.ai analyzed 2 d ago

Use this skill to turn finance or investment logic into a visual diagram, especially transmission chains, thesis maps, causal loops, risk/benefit paths, and…

As a process B 74/100 · Nearly there — weak spots: running it twice, progress reporting

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
88
Run on models
none yet
Process rating
B
74/100
Nearly there
Progress reporting w 2
0
Running it twice w 4
30
Failures and branches w 10
50
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • 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: 6. 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 74/100

    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 1 mutating operations with no state check
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (node) that frontmatter does not declare
    • 60Result and completion. Output format stated, no completion criterion
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 18 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 425 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

    • +5Description has no quoted example phrases that should trigger the skill
    • +4No input/output examples
    • -31 of 3 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 435: enough signal without eating the budget
    • +4Structure: 6 headings
    • +3Step-by-step instructions: 18 items
    • +3Output format is stated explicitly
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: suspicious
    The skill is a coherent finance-diagram helper, but it writes HTML files to arbitrary paths and those files load a third-party Draw.io viewer script when opened.
    LLM: suspicious (high) · VirusTotal: · 27 Jul 2026