BF tiktok-shop-search
Extract product search results from TikTok Shop by keyword and country region — returns product id, title, price, currency, seller, shop, rating, review count, sold count, images, SKU variants, brand, and product URL. Use when user mentions TikTok Shop, tiktok shop scraper, tiktok shop search, tiktokshop, shop.tiktok.com, tiktok e-commerce, tiktok marketplace, tiktok products, tiktok shop keyword search, tiktok shop product data, tiktok shop competitor research, tiktok shop trending items, tiktok social commerce, tiktok shop listing, tiktok shop pricing, tiktok shop seller data, tiktok shop reviews count, tiktok shop sold count, scrape tiktok shop, extract tiktok shop products, tiktok shop by country, tiktok shop us, tiktok shop uk, tiktok shop by keyword. Also applies to social commerce market research, dropshipping product discovery, tiktok product trend spotting, seller performance monitoring on tiktok, price and discount tracking across the tiktok shop catalog, and building tiktok shop product datasets from a list of search queries.
Extract product search results from TikTok Shop by keyword and country region — returns product id, title, price, currency, seller, shop, rating, review…
As a process F 54/100 · Will not run — References files that are not bundled: scripts/*.py
How to improve
- Shorten the description to 1024 characters.
- 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: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- error
description-longdescription is 1052 chars, limit 1024 - warning
missing-refreference to a missing file: scripts/*.py
Process rating: all ten parameters 54/100
- 0Tools and files. 1 referenced file(s) missing: scripts/*.py
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 2 mutating operations with no state check
- 40Result and completion. Does not say what the result is
- 70Inputs and preconditions. Inputs and preconditions are listed
- 85Steps. 21 steps, 2 vague phrases
- 100Failures and branches. 2 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2845 tokens
- low 11 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
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 1052: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Structure: 14 headings
- +3Step-by-step instructions: 21 items
- +4Has examples (1 code blocks)
- +3All 1 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 53.