Ads URL Parser
v1.0.0Parse product and landing URLs into an executable ads brief for Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, Shopify Ads, and...
Security Scan
OpenClaw
Benign
high confidencePurpose & Capability
Name, description, input/output contracts, and decision rules align: the skill's purpose is to parse URLs and produce ad launch briefs, and it does not request unexpected binaries, env vars, or installs.
Instruction Scope
SKILL.md stays within the ad-briefing scope (validate URL, extract offer/CTA, map KPIs, emit JSON). It implicitly requires fetching/parsing the provided URL (network access and HTML parsing), but it does not instruct reading unrelated system files, environment variables, or sending data to third-party endpoints beyond the user-supplied URL. Recommend confirming how your agent will fetch/handle remote content (follow redirects, execute JS, sanitize scripts) before using with sensitive links.
Install Mechanism
No install spec or code files; instruction-only skills have low install risk since nothing is written to disk or fetched during install.
Credentials
No credentials, env vars, or config paths are required. The declared inputs (URL, business_goal, market_scope) are proportionate to the stated functionality.
Persistence & Privilege
always is false and the skill does not request persistent system-level privileges or modify other skills' configuration. Autonomous invocation is allowed by default but not combined with other red flags.
Assessment
This skill appears internally consistent and safe to review, but keep these practical cautions in mind: 1) The agent will need to fetch whatever URL you provide — do not submit private/internal URLs, URLs containing tokens, or pages with sensitive data you don't want transmitted. 2) Parsing remote pages can expose the agent to malicious or obfuscated content (scripts, trackers); verify how your agent fetches and sanitizes HTML. 3) The skill does not request ad platform credentials; if you later ask the agent to perform account-level actions it may prompt for them — provide credentials only to trusted, intended integrations. If you need higher assurance, ask the skill owner for a description of the fetch/sanitization behavior or run it in an environment that mediates outbound web requests.Like a lobster shell, security has layers — review code before you run it.
latest
Ads URL Parser
Purpose
Core mission:
- URL parsing, intent extraction, launch brief generation
This skill is specialized for advertising workflows and should output actionable plans rather than generic advice.
When To Trigger
Use this skill when the user asks for:
- ad execution guidance tied to business outcomes
- growth decisions involving revenue, roas, cpa, or budget efficiency
- platform-level actions for: Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, Shopify Ads, DSP/programmatic
- this specific capability: URL parsing, intent extraction, launch brief generation
High-signal keywords:
- ads, advertising, campaign, growth, revenue, profit
- roas, cpa, roi, budget, bidding, traffic, conversion, funnel
- meta, googleads, tiktokads, youtubeads, amazonads, shopifyads, dsp
Input Contract
Required:
- url: product, service, or landing page URL
- business_goal: sales, leads, traffic, or awareness
- market_scope: country or language market
Optional:
- target_audience_hint
- offer_and_pricing
- launch_timeline
- current_kpi_baseline
Output Contract
- Intake Summary
- Parsed Offer and Value Proposition
- Audience and Funnel Hypothesis
- Channel Recommendation with rationale
- Launch Hand-off JSON payload
Workflow
- Validate URL and infer page type.
- Extract offer, CTA, and conversion surface.
- Map user intent to KPI priorities.
- Draft initial funnel and channel hypothesis.
- Emit structured launch brief.
Decision Rules
- If URL is not reachable, request alternate URL and continue with available text.
- If checkout is present, prioritize conversion objective and remarketing.
- If product narrative is unclear, ask one focused clarification question.
Platform Notes
Primary scope:
- Meta (Facebook/Instagram), Google Ads, TikTok Ads, YouTube Ads, Amazon Ads, Shopify Ads, DSP/programmatic
Platform behavior guidance:
- Keep recommendations channel-aware; do not collapse all channels into one generic plan.
- For Meta and TikTok Ads, prioritize creative testing cadence.
- For Google Ads and Amazon Ads, prioritize demand-capture and query/listing intent.
- For DSP/programmatic, prioritize audience control and frequency governance.
Constraints And Guardrails
- Never fabricate metrics or policy outcomes.
- Separate observed facts from assumptions.
- Use measurable language for each proposed action.
- Include at least one rollback or stop-loss condition when spend risk exists.
Failure Handling And Escalation
- If critical inputs are missing, ask for only the minimum required fields.
- If platform constraints conflict, show trade-offs and a safe default.
- If confidence is low, mark it explicitly and provide a validation checklist.
- If high-risk issues appear (policy, billing, tracking breakage), escalate with a structured handoff payload.
Code Examples
Parse Output Example
{
"objective": "sales",
"primary_kpi": "roas",
"recommended_channels": ["Meta", "TikTok Ads"],
"core_offer": "Starter bundle with free shipping"
}
Launch Payload Example
objective: sales
budget_plan: test-then-scale
tracking_required: [ViewContent, AddToCart, Purchase]
Examples
Example 1: Shopify product page intake
Input:
- URL: product page with direct checkout
- Goal: improve roas
Output focus:
- offer extraction
- funnel assumptions
- first channel recommendation
Example 2: SaaS lead landing page intake
Input:
- URL: demo request page
- Goal: lower cpa for qualified leads
Output focus:
- lead funnel map
- conversion event definition
- channel split hypothesis
Example 3: Amazon listing intake
Input:
- URL: marketplace product listing
- Goal: grow revenue while preserving margin
Output focus:
- listing intent clues
- ads objective mapping
- launch handoff payload
Quality Checklist
- Required sections are complete and non-empty
- Trigger keywords include at least 3 registry terms
- Input and output contracts are operationally testable
- Workflow and decision rules are capability-specific
- Platform references are explicit and concrete
- At least 3 practical examples are included
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