AB discovering-tiktok-shop-sellers-by-niche
Discovers TikTok Shop sellers and product listings in a specific niche using apidojo's TikTok scraper on Apify. Triggers when the user asks to: find TikTok Shop sellers in a product category, discover what products are selling on TikTok Shop, identify top-selling items in a niche on TikTok, find competitors selling on TikTok Shop, research TikTok Shop product opportunities, discover trending products with affiliate links on TikTok, or build a database of TikTok Shop merchants. Returns seller handle, product name, price, estimated sales signals, and niche category. Ideal for e-commerce sellers, product researchers, affiliate marketers, and TikTok Shop entrants.
Discovers TikTok Shop sellers and product listings in a specific niche using apidojo's TikTok scraper on Apify.
As a process B 78/100 · Nearly there — weak spots: 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 · 3
✓ No critical or high findings
Medium and low: 3
-
low Exfiltration
exfil-secret-in-urlskill-card.md:41Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)- [Apify TikTok scraper REST endpoint](https://api.apify.com/v2/acts/apidojo~tiktok-scraper/runs?token=…)
placeholder -
low Exfiltration
exfil-secret-in-urlSKILL.md:92Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)curl -X POST "https://api.apify.com/v2/acts/apidojo~tiktok-scraper/runs?token=…" -H "Content-Type: application/json" -d '{placeholder -
low Exfiltration
net-credential-useSKILL.md:92Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)curl -X POST "https://api.apify.com/v2/acts/apidojo~tiktok-scraper/runs?token=…" -H "Content-Type: application/json" -d '{vendor-host
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 78/100
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 1 mutating operations with no state check
- 50Failures and branches. 0 branches, has a failure section
- 60Result and completion. Output format stated, no completion criterion
- 70When it triggers. States when to use, but not when not to
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Tools and files. No external tools needed
- 100Steps. 6 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1248 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
- +4Description does not say when NOT to use the skill (false activations)
- +2Single-language instructions
- +3Description length 668: enough signal without eating the budget
- +4Structure: 10 headings
- +3Step-by-step instructions: 6 items
- +3Output format is stated explicitly
- +4Has examples (8 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.