SKILLEMALL.ai

BA tiktok-video-analyzer

Analyze a TikTok video at a lightweight, practical level using the information available: title, screenshots, visible structure, metrics, comments, and optional captions or transcript. Use when the user wants a fast breakdown of why a TikTok video may be working and what to adapt for ecommerce or creator strategy.

ClawHub Agent Skills author: LeroyCreates v1.0.0 MIT-0 3 files body ≈ 1 005 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process A 80/100 · Runs to the end — weak spots: consistency, progress reporting

AnalyzerMarketingMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
A
80/100
Runs to the end
Progress reporting w 2
0
Consistency w 8
40
Failures and branches w 10
55
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • 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

    • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: Analyze a TikTok video at a lightweight, practical level using the… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value

    Process rating: all ten parameters 80/100

    • 0Progress reporting. Says nothing while it works
    • 40Consistency. Frontmatter name (tiktok-video-analyzer) differs from the folder (creatop-tiktok-video-analyzer)
    • 55Failures and branches. 1 branches
    • 60Result and completion. Output format stated, no completion criterion
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 44 steps
    • 100When it triggers. States when to use and when not to
    • 100Execution cost. Instruction body is 1005 tokens
    • 100Running it twice. No mutating operations
    • low 10 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)
    • -41 reference files, but SKILL.md never points to them: the model will not open them
    • +1No license
    • +2Single-language instructions
    • +3Description length 315: enough signal without eating the budget
    • +4Structure: 11 headings
    • +3Step-by-step instructions: 44 items
    • +3Output format is stated explicitly
    • +4Has examples (0 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

    External checks

    ClawHub: clean
    This is a markdown-only TikTok content analysis skill that asks for user-provided video context and does not include code, credential access, persistence, or hidden system changes.
    LLM: benign (high) · VirusTotal: · 29 May 2026