SKILLEMALL.ai

AB meta-ads-open-cli

Meta Ads data analysis and reporting via meta-ads-open-cli. Use when the user wants to check Meta/Facebook/Instagram ad performance, pull campaign/ad set/ad stats, explore ad account structure, inspect creatives, analyze audiences, check pixel events, or retrieve lead form submissions. Triggers: "Meta Ads", "Facebook Ads", "Instagram Ads", "meta ad performance", "meta campaign stats", "meta ad spend", "meta insights", "meta pixel", "meta audience", "meta lead forms", "meta creatives", "Facebook ad account", "ad set performance", "meta breakdowns".

ClawHub Agent Skills author: Bin-Huang v1.0.0 MIT-0 2 files body ≈ 3 241 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

IntegrationMarketingtype 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. 6 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. 61 steps
    • 100Failures and branches. 2 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3241 tokens

    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 14 example trigger phrases
    • +3Description length 553: enough signal without eating the budget
    • +4Structure: 31 headings
    • +3Step-by-step instructions: 61 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: suspicious
    This Meta Ads reporting skill is coherent, but it relies on an unpinned external CLI with broad Meta OAuth access and can retrieve sensitive lead submissions without enough privacy guidance.
    LLM: suspicious (high) · VirusTotal: · 29 May 2026