AB bigcommerce-content-optimizer
Autonomous BigCommerce product content optimizer. Bulk-update, rewrite, optimize, or generate product titles and descriptions on a BigCommerce store. Triggers on "optimize my BigCommerce products", "rewrite product descriptions", "update product content", "improve my store listings", "bulk update BigCommerce", or when BigCommerce API credentials (store hash, API token) are provided for content work. Handles the full lifecycle: fetching products page-by-page, generating improved content, updating the store, and tracking progress — all autonomously without stopping.
As a process B 67/100 · Nearly there — weak spots: result and completion, consistency
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: 3. 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 67/100
- 0Result and completion. Does not say what the result is
- 40Consistency. Frontmatter name (bigcommerce-content-optimizer) differs from the folder (viq-bc-optimiser)
- 60Tools and files. Uses tools (web) that frontmatter does not declare
- 70When it triggers. States when to use, but not when not to
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 13 steps
- 100Failures and branches. 3 branches, has a failure section
- 100Execution cost. Instruction body is 923 tokens
- 100Running it twice. Mutating operations check current state
- 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
- +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
- +5Description quotes 5 example trigger phrases
- +3Description length 570: enough signal without eating the budget
- +4Structure: 13 headings
- +3Step-by-step instructions: 13 items
- +4Has examples (7 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 92.