SKILLEMALL.ai
GitHub ↗ RU Sign in

BF ads

When the user wants help with paid advertising campaigns on Google Ads, Meta (Facebook/Instagram), LinkedIn, Twitter/X, or other ad platforms. Also use when the user mentions 'PPC,' 'paid media,' 'ROAS,' 'CPA,' 'ad campaign,' 'retargeting,' 'audience targeting,' 'Google Ads,' 'Facebook ads,' 'LinkedIn ads,' 'ad budget,' 'cost per click,' 'ad spend,' 'should I run ads,' 'ABM,' 'account-based marketing,' 'B2B ads,' 'lead quality,' 'negative keywords,' 'Performance Max,' 'thought leader ads,' or 'when should I kill an ad.' Use this for campaign strategy, audience targeting, bidding, and optimization. For bulk ad creative generation and iteration, see ad-creative. For landing page optimization, see cro.

ClawHub Agent Skills author: Corey Haines v1.0.0 MIT-0 13 files body ≈ 6 181 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

When the user wants help with paid advertising campaigns on Google Ads, Meta (Facebook/Instagram), LinkedIn, Twitter/X, or other ad platforms.

As a process F 40/100 · Will not run — References files that are not bundled: ../../tools/REGISTRY.md, ../../tools/integrations/google-ads.md, ../../tools/integrations/meta-ads.md

ProcedureMarketingtype 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
B
85/100
safety, quality, tests
Safety 60%
98
Quality 40%
66
Run on models
none yet
Process rating
F
40/100
Will not run
References files that are not bundled: ../../tools/REGISTRY.md, ../../tools/integrations/google-ads.md, ../../tools/integrations/meta-ads.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  2. The text references files that are not there: add them or drop the references.
For the model run — optional
  • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

Guard findings · 2

✓ No critical or high findings

Medium and low: 2
  • low Secrets in code secret-high-entropy-token SKILL.md:92
    High-entropy token-like string (may be an id, hash or a credential)
    META…4Q1
  • low Secrets in code secret-high-entropy-token SKILL.md:94
    High-entropy token-like string (may be an id, hash or a credential)
    LI_L…r24

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

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 6181 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: ../../tools/REGISTRY.md
  • warning missing-ref reference to a missing file: ../../tools/integrations/google-ads.md
  • warning missing-ref reference to a missing file: ../../tools/integrations/meta-ads.md
  • warning missing-ref reference to a missing file: ../../tools/integrations/linkedin-ads.md
  • warning missing-ref reference to a missing file: ../../tools/integrations/tiktok-ads.md
  • warning missing-ref reference to a missing file: ../../tools/integrations/ga4.md
  • warning missing-ref reference to a missing file: ../../tools/integrations/segment.md

Process rating: all ten parameters 40/100

Will not run. References files that are not bundled: ../../tools/REGISTRY.md, ../../tools/integrations/google-ads.md, ../../tools/integrations/meta-ads.md
  • 0Tools and files. 7 referenced file(s) missing: ../../tools/REGISTRY.md, ../../tools/integrations/google-ads.md, ../../tools/integrations/meta-ads.md
  • 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. 10 mutating operations with no state check
  • 70Execution cost. Instruction body is 6181 tokens
  • 100Steps. 162 steps
  • 100When it triggers. States when to use and when not to
  • 100Consistency. Name and required fields are in place
  • low 18 top-level sections: this looks like several domains in one skill
  • medium 6 test cases, all positive: not one "should refuse" or "should ask first"
  • low No test case covers injection arriving through data

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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 708: enough signal without eating the budget
  • +4Structure: 58 headings
  • +3Step-by-step instructions: 162 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (10 of 10)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: suspicious
The skill is coherent paid-ads guidance, but it claims live ad-account access and encourages customer-data uploads and lead-data reuse without enough confirmation, consent, or privacy guardrails.
LLM: suspicious (high) · 30 Jul 2026