SKILLEMALL.ai

CB website-to-ads

Scrape any business website and generate 5 Meta-ready ad variants matching the brand's voice. Use when the user wants to create ads, generate ad copy, or turn a website URL into marketing creatives. Optionally requires Civic verification before exporting selected ads to Meta.

Not recommendedcritical or high security findings
ClawHub Agent Skills author: chapagainashutosh8 v1.0.0 MIT-0 18 files · 10 scripts body ≈ 222 tokens Open the sourceclawhub.ai↗ analyzed 14 d ago

Scrape any business website and generate 5 Meta-ready ad variants matching the brand's voice.

As a process B 76/100 · Nearly there — weak spots: consistency, progress reporting

GeneratorMarketingtype and topics are labelled automatically from the skill text
JSON
Technical rating
C
83/100
safety, quality, tests
Safety 60%
81
Quality 40%
87
Run on models
none yet
Process rating
B
76/100
Nearly there
Progress reporting w 2
0
Consistency w 8
40
Failures and branches w 10
55
the three weakest of ten parameters · all ten

What is at stake

The skill contains fragments that, in the wrong hands, cost money or data. Below: what the installer risks and what the author should do.

Secrets in code
If you install

The files contain someone else's key or token. If it is live, your agent will call third-party services under a stranger's identity; if it was revoked, the skill's scripts simply fail. Such a key often arrives with the author's whole workspace, personal data included.

For the author

The key is visible to everyone who downloaded the skill and has likely been copied by catalog-scanning bots already. Revoke it now, check bills and access logs, then reissue.

How to improve

  1. Address the high-severity findings: each costs 18 safety points. If one is a false positive, add the rule id to guard.allow in spec.yaml.
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 · 2

  • high Secrets in code meta-credential-files .env
    Credential / dotenv files bundled with the skill (1)
    .env
Medium and low: 1
  • low Exfiltration read-dotenv README.md:40
    Reads a .env file
    cp .env.example .env   # fill in your keys

Files scanned: 17. 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 76/100

  • 0Progress reporting. Says nothing while it works
  • 40Consistency. Frontmatter name (website-to-ads) differs from the folder (skill2ads)
  • 55Failures and branches. 1 branches
  • 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
  • 100Execution cost. Instruction body is 222 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)
  • +1No license
  • +2Single-language instructions
  • +3Description length 276: enough signal without eating the budget
  • +4Structure: 5 headings
  • +3Step-by-step instructions: 6 items
  • +3Output format is stated explicitly
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

External checks

ClawHub: suspicious
The skill's code and runtime instructions mostly match its stated purpose (scrape -> analyze -> generate ads), but there are packaging and declaration inconsistencies (missing declared env requirements and no install spec despite dependencies) that warrant caution before installing or running it with real credentials.
LLM: suspicious (medium) · 25 Mar 2026