AC shopify-markets-localization-auditor
Audit Shopify international setup across Markets, languages, shipping coverage, storefront localization, international SEO basics, and category-fit expansion opportunities with a plain-language HTML report and approval-based fixes. Use when a merchant wants to review or improve Markets, language readiness, local buying experience, or international growth direction. Do not use for theme coding, feed work, ad strategy, or generic translation writing.
Audit Shopify international setup across Markets, languages, shipping coverage, storefront localization, international SEO basics, and category-fit expansion…
As a process C 57/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice
What is at stake
Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.
Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.
The skill asks for more than the task needs: broad tool access, credential environment variables, binaries. Every extra permission widens the damage from a mistake or a compromise.
Narrow allowed-tools and the variable list to the minimum; replace binaries with readable sources or scripts.
How to improve
- For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
- 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 · 1
✓ No critical or high findings
Medium and low: 1
-
medium Broad scope
meta-requests-env-secretSKILL.md:1Skill asks the runtime to inject credential env vars into its sandbox: SKILL_HUB_SHOPIFY_CLIENT_SECRET, SKILL_HUB_SHOPIFY_APP_AUTOMATION_TOKEN — verify each one is needed for the stated purposerequired_environment_variables: SKILL_HUB_SHOPIFY_CLIENT_SECRET, SKILL_HUB_SHOPIFY_APP_AUTOMATION_TOKEN
Files scanned: 1. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-long-hermesdescription is 452 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period) - note
frontmatter-keyunknown frontmatter key "slug" - note
frontmatter-keyunknown frontmatter key "displayName" - note
frontmatter-keyunknown frontmatter key "required_environment_variables"
Process rating: all ten parameters 57/100
- 0Result and completion. Does not say what the result is
- 0Progress reporting. Says nothing while it works
- 30Inputs and preconditions. Does not say what the process needs to start
- 30Running it twice. 2 mutating operations with no state check
- 50When it triggers. No condition that starts the skill
- 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
- 60Consistency. The Hermes dialect needs category and tags
- 100Steps. 67 steps
- 100Failures and branches. 1 branches, has a failure section
- 100Execution cost. Instruction body is 2021 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
- +3Output format is not stated: the model decides each time
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +3Description length 452: enough signal without eating the budget
- +4Structure: 11 headings
- +3Step-by-step instructions: 67 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (4 of 4)
- +3All 1 scripts are documented
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.