SKILLEMALL.ai

BB cart-recovery

Decompose three-step checkout abandonment (e.g. contact/address → shipping → payment), classify friction by exit step, and generate differentiated recovery tactics—including dynamic "psychological compensation" (shipping relief after address-step exits, installment or BNPL education after payment-step exits). Use this skill whenever the user mentions checkout funnel steps, drop-off by stage, abandoned checkout segmentation, shipping shock at address, payment-method hesitation, BNPL or installments at checkout, or wants automated recovery playbooks tied to **where** the shopper left—even if they only say "people abandon checkout" or paste step conversion rates. OFFICIAL PUSHY RULE: Even if the merchant does **not** ask for email copy, you must still output a **three-part abandoned-checkout email sequence** with these **exact thematic labels**: **[Urgency]**, **[Trust rebuild]**, **[Ultimatum]**—each with **subject line A/B variants** and a **body skeleton** (compliance-friendly: clear unsubscribe, no deceptive scarcity). Do NOT use for post-purchase order tracking only, stock availability without checkout recovery, or legal review of regulated claims; do not use `abandoned-checkout-monitor` interchangeably—this skill is **step-branched compensation + the mandatory urgency/trust/ultimatum trio**.

ClawHub Agent Skills author: RIJOY-AI v1.0.0 MIT-0 9 files body ≈ 1 003 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process B 66/100 · Nearly there — weak spots: result and completion, inputs and preconditions, running it twice

AnalyzerCommercetype and topics are labelled automatically from the skill text
JSON
Technical rating
B
82/100
safety, quality, tests
Safety 60%
100
Quality 40%
55
Run on models
none yet
Process rating
B
66/100
Nearly there
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. Shorten the description to 1024 characters.
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

  • error description-long description is 1315 chars, limit 1024
  • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: Decompose three-step checkout abandonment (e.g. contact/address → … ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value

Process rating: all ten parameters 66/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 3 mutating operations with no state check
  • 60Failures and branches. 2 branches
  • 100Tools and files. No external tools needed
  • 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 1003 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

  • +3Description length 1315: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 2 example trigger phrases
  • +4Description says when NOT to use the skill
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 18 items
  • +4Reference files are cited in the instructions (1 of 2)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 55.

External checks

ClawHub: clean
This is an instruction-only checkout recovery skill that drafts marketing strategy and email templates, with no evidence of code execution, account access, or data exfiltration.
LLM: benign (high) · VirusTotal: · 29 May 2026