SKILLEMALL.ai

BC linkedin-ads-account-settings-and-structure-audit

Use for "audit my LinkedIn Ads settings", "is my LinkedIn account set up right", "I inherited this LinkedIn Ads account, what's wrong with it", "should LinkedIn audience expansion be on", "are my LinkedIn campaigns competing with each other", "is my LinkedIn cost cap too low", "should I consolidate my LinkedIn campaigns", or "new client LinkedIn account review" — even when the user never says "settings". Covers objectives, bid strategies, Audience Network, audience expansion, overlapping campaigns and creative rotation, each priced in the spend flowing through it. LinkedIn Ads only.

coupler-io/skills Agent Skills author: coupler-io 1 file body ≈ 3 381 tokens Open the sourcegithub.com↗ analyzed 7 d ago

Use for "audit my LinkedIn Ads settings", "is my LinkedIn account set up right", "I inherited this LinkedIn Ads account, what's wrong with it", "should…

As a process C 57/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

AnalyzerMarketingtype and topics are labelled automatically from the skill text
JSON
Technical rating
B
93/100
safety, quality, tests
Safety 60%
99
Quality 40%
85
Run on models
none yet
Process rating
C
57/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
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 · 1

    ✓ No critical or high findings

    Medium and low: 1

    ✓ Guard found no suspicious behaviour. 1 matches are attack strings quoted in this security skill's own documentation.

    Files scanned: 1. 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 57/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 1 mutating operations with no state check
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 18 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3381 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 12 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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 9 example trigger phrases
    • +3Description length 589: enough signal without eating the budget
    • +4Structure: 14 headings
    • +3Step-by-step instructions: 18 items

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.