SKILLEMALL.ai

AC saas-pricing-auditor

Audit a SaaS pricing page and return a scorecard, specific rewrites, and an A/B test priority queue. Diagnoses tier psychology (3-tier vs 4-tier, where the anchor sits), price points (charm vs round, currency formatting, decoy effect), feature-gating logic (the right and wrong reasons to gate a feature), the freemium-vs-trial decision, value-metric selection (per-seat, per-usage, hybrid, outcome-based), expansion-revenue mechanisms (overages, add-ons, tier upgrades, seat sprawl), monthly/annual toggle defaults, comparison-table clarity, and social-proof placement. Outputs a 1-10 score per dimension with specific rewrites and a ranked test backlog. Use when asked to review a pricing page, redesign tiers, raise prices, fix poor conversion, choose a value metric, decide between freemium and trial, or prep for a pricing repackage.

ClawHub Agent Skills author: charlie-morrison v1.0.0 MIT-0 2 files body ≈ 3 762 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 62/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, running it twice

AnalyzerData and analyticsCommerceInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
C
62/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
0
When it triggers w 12
20
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: 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 62/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 4 mutating operations with no state check
    • 55Failures and branches. 1 branches
    • 60Result and completion. Output format stated, no completion criterion
    • 85Steps. 104 steps, 1 vague phrases
    • 100Tools and files. No external tools needed
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3762 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 14 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)
    • +3Description length 838: 120–800 characters recommended
    • +1No license
    • +2Single-language instructions
    • +4Structure: 38 headings
    • +3Step-by-step instructions: 104 items
    • +3Output format is stated explicitly
    • +4Has examples (1 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

    External checks

    ClawHub: clean
    This is an instruction-only SaaS pricing audit skill with no code, install steps, credentials, persistence, or system-changing behavior.
    LLM: benign (high) · VirusTotal: · 29 May 2026