SKILLEMALL.ai

AB x-ads-cli

X Ads data analysis and reporting via x-ads-cli. Use when the user wants to check X/Twitter ad performance, pull campaign/line item/promoted tweet stats, explore ad account structure, inspect media creatives, analyze targeting criteria, check conversion events, or estimate reach. Triggers: "X Ads", "Twitter Ads", "X ad performance", "X campaign stats", "X ad spend", "X analytics", "X targeting", "X audience", "X creatives", "Twitter ad account", "line item performance", "X billing", "promoted tweets".

ClawHub Agent Skills author: Bin-Huang v1.0.0 MIT-0 2 files body ≈ 2 844 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 68/100 · Nearly there — weak spots: inputs and preconditions, running it twice, progress reporting

IntegrationMarketingData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
97/100
safety, quality, tests
Safety 60%
100
Quality 40%
92
Run on models
none yet
Process rating
B
68/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
Running it twice w 4
30
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: 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 68/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 7 mutating operations with no state check
    • 60Tools and files. Uses tools (bash) 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
    • 100Steps. 69 steps
    • 100Failures and branches. 2 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2844 tokens
    • low The response is described with custom markup (13 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

    • +4Description does not say when NOT to use the skill (false activations)
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 12 example trigger phrases
    • +3Description length 506: enough signal without eating the budget
    • +4Structure: 29 headings
    • +3Step-by-step instructions: 69 items
    • +3Output format is stated explicitly
    • +4Has examples (16 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 92.

    External checks

    ClawHub: clean
    This is a coherent read-only helper for X Ads reporting, but it can display sensitive ad account, billing, audience, and payment-method information.
    LLM: benign (high) · VirusTotal: · 29 May 2026