BF shopify-bulk-upload
Bulk upload products to Shopify stores. Read product data from Excel/CSV, automatically create products, images, variants, prices and inventory. Use cases: (1) Batch list new products (2) Migrate products from other platforms to Shopify (3) Batch update existing product information.
As a process F 56/100 · Will not run — References files that are not bundled: assets/products.xlsx, assets/products.csv, scripts/config.py
How to improve
- The text references files that are not there: add them or drop the references.
- 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: 5. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
frontmatter-yamlSKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: Bulk upload products to Shopify stores. Read product data from Exc… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value - warning
missing-refreference to a missing file: assets/products.xlsx - warning
missing-refreference to a missing file: assets/products.csv - warning
missing-refreference to a missing file: scripts/config.py
Process rating: all ten parameters 56/100
- 0Tools and files. 3 referenced file(s) missing: assets/products.xlsx, assets/products.csv, scripts/config.py
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 3 mutating operations with no state check
- 50Failures and branches. 0 branches, has a failure section
- 60Result and completion. Output format stated, no completion criterion
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 24 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 714 tokens
- 100Progress reporting. Reports progress
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)
- -226 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 283: enough signal without eating the budget
- +4Structure: 11 headings
- +3Step-by-step instructions: 24 items
- +3Output format is stated explicitly
- +4Has examples (4 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 70.