BC tiktok-ads-placement-location-and-device-breakdown
Use for "is Pangle wasting my money", "should I turn off automatic placement", "how is Search Feed doing", "which countries are working on TikTok", "is iOS or Android converting", "what time of day should I be running", or "where is my budget actually going" — even when the user never says "placement". Covers where and when the ads are shown, and what each of those is worth. TikTok Ads only.
Use for "is Pangle wasting my money", "should I turn off automatic placement", "how is Search Feed doing", "which countries are working on TikTok", "is iOS or…
As a process C 63/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches
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: 1. 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 63/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 100Tools and files. No external tools needed
- 100Steps. 26 steps
- 100When it triggers. States when to use and when not to
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3416 tokens
- 100Running it twice. Mutating operations check current state
- 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)
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +5Description quotes 8 example trigger phrases
- +3Description length 394: enough signal without eating the budget
- +4Structure: 13 headings
- +3Step-by-step instructions: 26 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.