SKILLEMALL.ai

AB rolling-suds-customer-quote-intake

Normalize messy Rolling Suds customer or salesperson inputs for exterior cleaning jobs into a clean intake summary, estimator-ready handoff, Workiz-friendly internal note, follow-up questions, and manual-review flags. Use when the input is a text message, pasted chat, call summary, address plus notes, photos plus notes, or any rough service request for house washing, driveways, patios, porches, sidewalks, decks, fences, or window cleaning.

ClawHub Agent Skills author: Michael D v0.1.10 MIT-0 5 files body ≈ 1 831 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 73/100 · Nearly there — weak spots: inputs and preconditions, running it twice, progress reporting

AnalyzerWriting and documentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
90
Run on models
none yet
Process rating
B
73/100
Nearly there
Progress reporting w 2
0
Inputs and preconditions w 11
30
Running it twice w 4
30
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: 5. 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 73/100

    • 0Progress reporting. Says nothing while it works
    • 30Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 1 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 60Result and completion. Output format stated, no completion criterion
    • 70Failures and branches. 11 branches
    • 100Tools and files. No external tools needed
    • 100Steps. 98 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1831 tokens
    • low 12 top-level sections: this looks like several domains in one skill

    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 443: enough signal without eating the budget
    • +4Structure: 18 headings
    • +3Step-by-step instructions: 98 items
    • +3Output format is stated explicitly
    • +4Has examples (5 code blocks)
    • +4Reference files are cited in the instructions (1 of 3)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.

    External checks

    ClawHub: clean
    This markdown-only skill formats customer quote intake into internal notes and handoffs, with no code execution or system access, though it may handle user-supplied customer details.
    LLM: benign (high) · VirusTotal: · 29 May 2026