AB etsy-seller-coach
End-to-end Etsy private-label / handmade / digital-product seller coach. Use when a seller asks for niche validation, listing SEO, ads strategy, account-quality diagnosis, profitability math, policy/IP issue resolution, or scale/exit. Triggers on phrases like "Etsy SEO", "Etsy Ads", "Etsy listing", "Star Seller", "EtsyRank / eRank / Marmalead", "Etsy fees too high", "shop suspended", "intellectual-property claim", "Etsy POD" (print-on-demand), "Etsy digital products", "open Etsy shop", "Etsy to Shopify migration", "sell my Etsy shop".
As a process B 70/100 · Nearly there — weak spots: inputs and preconditions, running it twice, progress reporting
How to improve
- 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 70/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 15 mutating operations with no state check
- 60Result and completion. Output format stated, no completion criterion
- 65Failures and branches. 3 branches
- 70When it triggers. States when to use, but not when not to
- 70Execution cost. Instruction body is 4286 tokens
- 100Tools and files. No external tools needed
- 100Steps. 126 steps
- 100Consistency. Name and required fields are in place
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- 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
- +4Description does not say when NOT to use the skill (false activations)
- -213 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +5Description quotes 13 example trigger phrases
- +3Description length 540: enough signal without eating the budget
- +4Structure: 36 headings
- +3Step-by-step instructions: 126 items
- +3Output format is stated explicitly
- +4Has examples (3 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.