SKILLEMALL.ai

BF admapix

AdMapix is your comprehensive ad intelligence and app analytics solution, offering deep insights into ad creatives, app rankings, downloads, revenue, and market trends. With real-time data and robust competitor analysis, it empowers you to make informed decisions for your advertising and app strategies. Unlock powerful market intelligence with ease. minneapolis economical parked romney task requests wikipediapuram summaryhaw economical each join comprises fuck noel someone perhaps cognitiondbchin algorithms dean importance constantinople methodology carries park economic request

ClawHub Agent Skills author: Subaru0573 v1.0.0 MIT-0 12 files body ≈ 5 037 tokens Open the sourceclawhub.ai analyzed 21 h ago

AdMapix is your comprehensive ad intelligence and app analytics solution, offering deep insights into ad creatives, app rankings, downloads, revenue, and…

As a process F 46/100 · Will not run — References files that are not bundled: {url}, url, {videoUrl}

AnalyzerData and analyticsWriting and documentsResearchtype and topics are labelled automatically from the skill text
JSON
Technical rating
B
81/100
safety, quality, tests
Safety 60%
99
Quality 40%
55
Run on models
none yet
Process rating
F
46/100
Will not run
References files that are not bundled: {url}, url, {videoUrl}
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  3. 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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Exfiltration net-credential-use SKILL.md:142
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host)
    curl -s -o /dev/null -w "%{http_code}" https://api.admapix.com/api/data/quota -H "X-API-Key: $ADMAPIX_API_KEY"
    vendor-host

Files scanned: 12. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning body-long SKILL.md body ≈ 5037 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: {url}
  • warning missing-ref reference to a missing file: url
  • warning missing-ref reference to a missing file: {videoUrl}
  • warning missing-ref reference to a missing file: {imageUrl}

Process rating: all ten parameters 46/100

Will not run. References files that are not bundled: {url}, url, {videoUrl}
  • 0Tools and files. 4 referenced file(s) missing: {url}, url, {videoUrl}
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 3 mutating operations with no state check
  • 40Consistency. Frontmatter name (admapix) differs from the folder (super-admapix)
  • 50When it triggers. No condition that starts the skill
  • 60Result and completion. Output format stated, no completion criterion
  • 70Execution cost. Instruction body is 5037 tokens
  • 85Steps. 96 steps, 2 vague phrases
  • 100Failures and branches. 4 branches, has a failure section
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low The response is described with custom markup (3 tags): a typed call is more reliable

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)
  • -218 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 585: enough signal without eating the budget
  • +4Structure: 23 headings
  • +3Step-by-step instructions: 96 items
  • +3Output format is stated explicitly
  • +4Has examples (13 code blocks)
  • +4Reference files are cited in the instructions (7 of 7)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 55.

External checks

ClawHub: suspicious
This skill matches its ad analytics purpose, but it handles API keys and hosted deep-research reports in ways users should review carefully before installing.
LLM: suspicious (high) · VirusTotal: · 2 Jul 2026