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Collects active Meta ads for a brand, reporting total ads, formats, ad types, longest-running ad duration, and estimated spend if available.

综合技能

作者:Adarsh More @AdarshVMore

许可证:MIT-0

MIT-0 ·免费使用、修改和重新分发。无需归因。

版本:v1.0.0

统计:⭐ 0 · 157 · 1 current installs · 1 all-time installs

0

安装量(当前) 1

🛡 VirusTotal :良性 · OpenClaw :可疑

Package:adarshvmore/meta-ads-collector-adarsh

安全扫描(ClawHub)

  • VirusTotal :良性
  • OpenClaw :可疑

OpenClaw 评估

The skill's described behavior (querying Meta's Ad Library) is coherent, but the SKILL.md explicitly requires Meta credentials and environment variables that are not declared in the registry metadata — a configuration mismatch that should be resolved before trusting or installing the skill.

目的

The name and description match the implementation notes: the skill queries the Meta Ad Library API and computes ad metrics. Requesting a Meta access token and app credentials is appropriate for that purpose. However, the registry metadata lists no required environment variables or primary credential while the SKILL.md explicitly requires META_ACCESS_TOKEN, META_APP_ID, and META_APP_SECRET — an inconsistency between declared requirements and th…

说明范围

The runtime instructions are focused on the Ad Library API and metric calculation (formats, counts, durations, optional spend). They reference process.env variables and other project files (e.g., metaAdsService.ts, src/types/audit.types.ts) and instruct logging errors with Winston. The instructions do not ask for unrelated system files or other service credentials, but they do require reading secret env vars (Meta credentials). Because the reg…

安装机制

This is an instruction-only skill with no install spec and no code files. That minimizes install-time risk (nothing is downloaded or written by an installer).

证书

The env vars named in SKILL.md (META_ACCESS_TOKEN, META_APP_ID, META_APP_SECRET) are appropriate and proportionate for querying Meta's Ad Library. However, the skill registry metadata claims 'Required env vars: none' and 'Primary credential: none'. The absence of declared env requirements in the registry is misleading and increases risk because users may not realize they must supply sensitive credentials. No unrelated secrets are requested, bu…

持久

The skill does not request always: true, does not include an install script, and does not appear to alter other skills or system-wide settings. It relies on runtime environment variables only and does not request elevated persistence.

安装(复制给龙虾 AI)

将下方整段复制到龙虾中文库对话中,由龙虾按 SKILL.md 完成安装。

请把本段交给龙虾中文库(龙虾 AI)执行:为本机安装 OpenClaw 技能「Meta Ads Collector Adarsh」。简介:Collects active Meta ads for a brand, reporting total ads, formats, ad types, l…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装:https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/adarshvmore/meta-ads-collector-adarsh/SKILL.md
(来源:yingzhi8.cn 技能库)

SKILL.md

打开原始 SKILL.md(GitHub raw)

# Meta Ads Collector Skill

## Purpose
Scans the Meta Ad Library API to find active advertisements for a given brand. Extracts the number of active ads, ad formats used, ad types, and the longest-running ad duration. This collector feeds into the Marketing Audit Pipeline to populate the Paid Ads Strategy section of the final report.

## Input Schema
```typescript
// Function signature
collectMetaAds(brandName: string, domain?: string): Promise<MetaAdsData>

// brandName: The brand name to search for in the Ad Library (e.g. "Gymshark")
// domain: Optional domain to refine search (e.g. "gymshark.com"). Used to filter
// results and improve relevance when the brand name is ambiguous.
```

## Output Schema
```typescript
interface MetaAdsData {
 activeAds: number; // Total count of currently active ads
 formatsUsed: string[]; // e.g. ["image", "video", "carousel"]
 longestRunningAdDays: number; // Days the longest-running active ad has been live
 adTypes: string[]; // e.g. ["POLITICAL_AND_ISSUE_ADS", "HOUSING_ADS", "OTHER"]
 estimatedSpend?: string; // e.g. "$10,000 - $50,000" (if available from API)
 error?: string; // Present only when collector fails
}
```

## API Dependencies
- **API Name:** Meta Ad Library API
- **Endpoint:** `https://graph.facebook.com/v19.0/ads_archive`
- **Auth:** `META_ACCESS_TOKEN` environment variable (requires a Facebook App with Ad Library API access)
- **Additional env vars:** `META_APP_ID`, `META_APP_SECRET` (used for token generation if needed)
- **Cost estimate:** Free (no per-request charge)
- **Rate limits:** Subject to Meta's standard Graph API rate limits (~200 calls/hour)

## Implementation Pattern

### Data Flow
1. Receive `brandName` and optional `domain` from the pipeline
2. Call `metaAdsService.getMetaAds(brandName, domain)` which queries the Ad Library API
3. Process the returned ads array to extract metrics
4. Map processed data to the `MetaAdsData` interface

### API Query Parameters
```typescript
{
 access_token: process.env.META_ACCESS_TOKEN,
 search_terms: brandName,
 ad_reached_countries: "['US']", // Default to US; can be expanded
 ad_active_status: "ACTIVE", // Only fetch currently active ads
 ad_type: "ALL", // Include all ad types
 fields: "id,ad_creation_time,ad_creative_bodies,ad_creative_link_captions,ad_creative_link_titles,ad_delivery_start_time,ad_snapshot_url,page_name",
 limit: 100 // Max results per page
}
```

### Metrics Calculation

**Active Ads Count:**
- Count the total number of ads returned from the API response

**Formats Detection:**
- Analyze `ad_snapshot_url` or creative fields to classify format
- Categories: `"image"`, `"video"`, `"carousel"`, `"dynamic"`, `"collection"`
- Deduplicate into a unique list

**Longest Running Ad:**
```typescript
const now = new Date();
const longestRunningAdDays = Math.max(
 ...ads.map(ad => {
 const startDate = new Date(ad.ad_delivery_start_time);
 return Math.floor((now.getTime() - startDate.getTime()) / (1000 * 60 * 60 * 24));
 })
);
```

**Ad Types:**
- Extract unique `ad_type` values from the response
- Common types: `"POLITICAL_AND_ISSUE_ADS"`, `"HOUSING_ADS"`, `"CREDIT_ADS"`, `"EMPLOYMENT_ADS"`, general/uncategorized

**Estimated Spend:**
- Only available for political/issue ads (Meta requirement)
- For other ad types, this field will be `undefined`
- If available, format as a range string: `"$10,000 - $50,000"`

### Domain Filtering
When `domain` is provided:
- Filter results to only include ads where the creative body, link caption, or link title references the domain
- This improves accuracy for brands with common names

## Error Handling
- Entire function wrapped in `try/catch`
- On failure, return `EMPTY_META_ADS_DATA` with `error` field set:
 ```typescript
 return { ...EMPTY_META_ADS_DATA, error: 'Meta Ads data unavailable: <reason>' };
 ```
- Never throw -- always return a valid `MetaAdsData` object
- Log errors with Winston logger including brandName and error details:
 ```typescript
 logger.error('Meta Ads collector failed', { brandName, domain, err });
 ```
- Common failure scenarios:
 - Access token invalid, expired, or lacking Ad Library permissions
 - Brand name returns zero results (not necessarily an error -- return zeroed data without error flag)
 - Rate limit exceeded (Meta Graph API throttling)
 - Network timeout

## Example Usage
```typescript
import { collectMetaAds } from '../collectors/metaAdsCollector';

// Successful collection
const data = await collectMetaAds('Gymshark', 'gymshark.com');
// Returns:
// {
// activeAds: 47,
// formatsUsed: ["image", "video", "carousel"],
// longestRunningAdDays: 182,
// adTypes: ["OTHER"],
// estimatedSpend: undefined,
// }

// No ads found (not an error)
const noAds = await collectMetaAds('TinyLocalShop');
// Returns:
// {
// activeAds: 0,
// formatsUsed: [],
// longestRunningAdDays: 0,
// adTypes: [],
// }

// Failed collection (graceful degradation)
const failedData = await collectMetaAds('Gymshark');
// Returns:
// {
// activeAds: 0,
// formatsUsed: [],
// longestRunningAdDays: 0,
// adTypes: [],
// error: "Meta Ads data unavailable: Access token expired"
// }
```

## Notes
- The collector depends on `metaAdsService.ts` for the actual API communication. The collector handles only data aggregation and metric calculation.
- Meta Ad Library API requires a Facebook App registered with Ad Library access. The app must be reviewed and approved by Meta for production use.
- The API only returns publicly available ad data. Spend data is only available for political/issue ads as mandated by Meta's transparency policies.
- Zero active ads is a valid result (small or new brands may not run Meta ads) and should be returned without an error flag.
- The `EMPTY_META_ADS_DATA` constant is defined in `src/types/audit.types.ts` and should be imported for fallback returns.
- This collector must never block the pipeline. Even a complete failure returns valid typed data with an error flag.
- Pagination: the Meta API returns a maximum of 100 results per page. For brands with many ads, pagination via the `after` cursor may be needed. For audit purposes, the first page (100 ads) is sufficient.