SKILLEMALL.ai

AF one-number-explains-video-gen

Create vertical data-stat hooks: hero number, ramping counter or graph, closing meaning line, timed English captions (WeryAI). Use for dataviz Shorts, macro explainers, or ticker TikToks. Use when the user wants one metric to explain a trend. SEO: one number explains video; data hook video.

ClawHub Agent Skills author: parallel world v1.0.0 MIT-0 5 files body ≈ 1 511 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 59/100 · Will not run — References files that are not bundled: url

GeneratorMedia and videoMarketingtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
81
Run on models
none yet
Process rating
F
59/100
Will not run
References files that are not bundled: url
Tools and files w 18
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: url

Process rating: all ten parameters 59/100

Will not run. References files that are not bundled: url
  • 0Tools and files. 1 referenced file(s) missing: url
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 1 mutating operations with no state check
  • 40Result and completion. Does not say what the result is
  • 55Failures and branches. 1 branches
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 85Steps. 26 steps, 1 vague phrases
  • 100When it triggers. States when to use and when not to
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1511 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 13 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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 291: enough signal without eating the budget
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 26 items
  • +4Has examples (0 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

External checks

ClawHub: clean
This is a disclosed WeryAI video-generation skill whose API key, network use, paid generation, and optional local image upload are documented and aligned with creating short data-stat videos.
LLM: benign (high) · VirusTotal: · 29 May 2026