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BD adcp-advertising

Automate advertising campaigns with AI. Create ads, buy media, manage ad budgets, discover ad inventory, run display ads, video ads, CTV campaigns, and optimize ad performance. Perfect for marketing automation, programmatic advertising, media buying, ad management, campaign optimization, creative management, and performance tracking. Launch Facebook ads, Google ads, display advertising, video marketing, and multi-channel campaigns using natural language. Supports ad targeting, audience segmentation, ROI tracking, and automated bidding.

LeoYeAI/openclaw-master-skills Agent Skills author: LeoYeAI MIT 9 files body ≈ 3 782 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Automate advertising campaigns with AI.

As a process D 44/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

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
87/100
safety, quality, tests
Safety 60%
90
Quality 40%
82
Run on models
none yet
Process rating
D
44/100
Unfinished process
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

The same skill appears in 1 more place: openclaw-master-skills

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Secrets in code medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The files contain someone else's key or token. If it is live, your agent will call third-party services under a stranger's identity; if it was revoked, the skill's scripts simply fail. Such a key often arrives with the author's whole workspace, personal data included.

For the author

The key is visible to everyone who downloaded the skill and has likely been copied by catalog-scanning bots already. Revoke it now, check bills and access logs, then reissue.

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 · 6

    ✓ No critical or high findings

    Medium and low: 6
    • medium Secrets in code secret-labelled-token PROTOCOLS.md:393
      Labelled token / key literal (vendor format unknown — verify it is not a live credential)
      const authToken = '1v8t…6IQ';
    • low Secrets in code secret-high-entropy-token PROTOCOLS.md:393
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      const authToken = '1v8t…6IQ';
      quoted
    • low Secrets in code secret-high-entropy-token QUICKREF.md:214
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      - Token: `1v8t…6IQ`
      detector
    • low Secrets in code secret-high-entropy-token README.md:240
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      - **Auth Token**: `1v8t…6IQ`
      detector
    • low Secrets in code secret-high-entropy-token README.md:265
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      "token": "1v8t…6IQ"
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:414
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      **Auth Token**: `1v8t…6IQ`
      detector

    Files scanned: 9. 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 "homepage"
    • note frontmatter-key unknown frontmatter key "repository"
    • note frontmatter-key unknown frontmatter key "subcategory"
    • note frontmatter-key unknown frontmatter key "type"
    • note frontmatter-key unknown frontmatter key "keywords"

    Process rating: all ten parameters 44/100

    • 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
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 9 mutating operations with no state check
    • 40Consistency. Frontmatter name (adcp-advertising) differs from the folder (adcp-advertising-1-0-1)
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 100Steps. 76 steps
    • 100Execution cost. Instruction body is 3782 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 13 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

    • +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
    • +2Single-language instructions
    • +3Description length 541: enough signal without eating the budget
    • +4Structure: 39 headings
    • +3Step-by-step instructions: 76 items
    • +4Has examples (27 code blocks)
    • +1License stated

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