AB analyzing-tiktok-hashtag-performance
Analyzes TikTok hashtag performance, reach, and trending content using apidojo's TikTok scraper on Apify. Triggers when the user asks to: analyze a TikTok hashtag, find trending hashtags on TikTok in a niche, see which hashtags perform best for a content type, compare hashtag reach and total view counts on TikTok, identify viral content under a hashtag, research TikTok hashtag strategy for a campaign, find which hashtags a competitor uses most, or determine the best hashtags to use for a TikTok post. Returns hashtag name, total views, top video stats, top creators, and engagement benchmarks. Ideal for social media managers, content strategists, and TikTok growth consultants.
Analyzes TikTok hashtag performance, reach, and trending content using apidojo's TikTok scraper on Apify.
As a process B 78/100 · Nearly there — weak spots: 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 · 1
✓ No critical or high findings
Medium and low: 1
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low Exfiltration
exfil-secret-in-urlSKILL.md:99Credential passed in a URL query string (normal for some APIs — verify the host is the intended service) (placeholder value)"https://api.apify.com/v2/acts/apidojo~tiktok-scraper/runs?token=…" \
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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
- 60Tools and files. Uses tools (web) 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
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 10 steps
- 100Failures and branches. 1 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1405 tokens
- 100Running it twice. No mutating operations
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 683: enough signal without eating the budget
- +4Structure: 11 headings
- +3Step-by-step instructions: 10 items
- +3Output format is stated explicitly
- +4Has examples (6 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.