SKILLEMALL.ai
GitHub ↗ RU Sign in

AB adkit

AI agent for managing Google Ads and Meta (Facebook & Instagram) Ads. Create and publish campaigns, ad sets/groups, and ads; manage drafts; upload images and video; research keywords and audiences; browse the ad library; and generate ads with AI. Works through the AdKit CLI or MCP. Load when the user wants to execute ad operations or is ready to publish a campaign. Not for strategy, copywriting, creative advice, or learning about ads.

ClawHub Agent Skills author: Nico v0.2.3 MIT-0 4 files body ≈ 355 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

AI agent for managing Google Ads and Meta (Facebook & Instagram) Ads.

As a process B 69/100 · Nearly there — weak spots: result and completion, inputs and preconditions, progress reporting

IntegrationMarketingAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
82
Run on models
none yet
Process rating
B
69/100
Nearly there
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
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 · 0

    ✓ No critical or high findings

    Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "displayName"
    • note frontmatter-key unknown frontmatter key "triggers"

    Process rating: all ten parameters 69/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 55Failures and branches. 1 branches
    • 100Tools and files. No external tools needed
    • 100Steps. 6 steps
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 355 tokens
    • 100Running it twice. Mutating operations check current state

    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
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 438: enough signal without eating the budget
    • +4Structure: 4 headings
    • +3Step-by-step instructions: 6 items

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.

    External checks

    ClawHub: suspicious
    This ad-management skill is mostly transparent and purpose-aligned, but it grants live advertising and raw platform mutation authority with broad activation cues that users should review carefully before installing.
    LLM: suspicious (medium) · 9 Jun 2026