AB amazon-ads-open-cli
Amazon Ads data retrieval and reporting via amazon-ads-open-cli. Use when the user wants to check Amazon ad performance, pull Sponsored Products/Brands/Display stats, explore campaign structure, inspect DSP orders, manage audiences, or generate async performance reports. Triggers: "Amazon Ads", "Sponsored Products", "Sponsored Brands", "Sponsored Display", "Amazon DSP", "Amazon ad performance", "Amazon campaign stats", "Amazon ad spend", "Amazon PPC", "Amazon keywords", "Amazon targets", "Amazon audiences", "Amazon brand safety", "Amazon ad report".
As a process B 66/100 · 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 66/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 1 mutating operations with no state check
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 70When it triggers. States when to use, but not when not to
- 70Execution cost. Instruction body is 4063 tokens
- 100Steps. 110 steps
- 100Failures and branches. 3 branches, has a failure section
- 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 The response is described with custom markup (18 tags): a typed call is more reliable
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)
- +1No license
- +2Single-language instructions
- +5Description quotes 14 example trigger phrases
- +3Description length 555: enough signal without eating the budget
- +4Structure: 39 headings
- +3Step-by-step instructions: 110 items
- +3Output format is stated explicitly
- +4Has examples (27 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 92.