AC ecommerce-automation
Automate e-commerce operations: price monitoring, inventory tracking, order management, competitor analysis, and stock alerts. Save 20+ hours per week for online sellers. Supports Shopify, WooCommerce, Amazon, eBay integrations.
As a process C 54/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency
IntegrationShopifyWordPressInfrastructuretype and topics are labelled automatically from the skill text
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
- note
frontmatter-keyunknown frontmatter key "homepage"
Process rating: all ten parameters 54/100
- 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
- 40Consistency. Frontmatter name (ecommerce-automation) differs from the folder (clawd-ecommerce-automation)
- 50When it triggers. No condition that starts the skill
- 50Failures and branches. 0 branches, has a failure section
- 100Tools and files. No external tools needed
- 100Steps. 41 steps
- 100Execution cost. Instruction body is 2347 tokens
- low 11 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)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +3Description length 228: enough signal without eating the budget
- +4Structure: 32 headings
- +3Step-by-step instructions: 41 items
- +4Has examples (15 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.
External checks
ClawHub: suspicious
The skill appears purpose-aligned for ecommerce automation, but it may affect live store data without enough visible guardrails.
LLM: suspicious (medium) · VirusTotal: · 29 May 2026