SKILLEMALL.ai

AB treatment-plan-presentation

Present a dental treatment plan the patient actually understands and accepts — sequenced by clinical priority, costed with their coverage applied, and explained in the order that answers what-is-wrong before what-it-costs. Use when asked to present a treatment plan, improve case acceptance, explain treatment to a patient, or handle a patient who says they want to think about it. Produces the phased plan, the plain-language explanation per phase, the cost and coverage breakdown, the consequences-of-delay framing, and responses to the four common objections. Clinical decisions remain the treating clinician's; this shapes the conversation, not the diagnosis.

mohitagw15856/pm-claude-skills Agent Skills author: mohitagw15856 MIT 2 files body ≈ 1 550 tokens Open the sourcegithub.com analyzed 2 d ago

Present a dental treatment plan the patient actually understands and accepts — sequenced by clinical priority, costed with their coverage applied, and…

As a process B 78/100 · Nearly there — weak spots: when it triggers, running it twice, progress reporting

AnalyzerSoftware developmentCustomer supporttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
91
Run on models
none yet
Process rating
B
78/100
Nearly there
Progress reporting w 2
0
When it triggers w 12
20
Running it twice w 4
30
the three weakest of ten parameters · all ten

The same skill appears in 2 more places: pm-claude-skills, pm-claude-skills

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

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 78/100

    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 1 mutating operations with no state check
    • 55Failures and branches. 1 branches
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 39 steps
    • 100Result and completion. Output format and completion criterion are stated
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1550 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
    • +4Description does not say when NOT to use the skill (false activations)
    • +1No license
    • +2Single-language instructions
    • +3Description length 663: enough signal without eating the budget
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 39 items
    • +3Output format is stated explicitly
    • +4Has examples (0 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.