技能详情(站内镜像,无评论)
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 · 185 · 0 current installs · 1 all-time installs
⭐ 0
安装量(当前) 1
🛡 VirusTotal :良性 · OpenClaw :可疑
Package:adarshvmore/meta-ads-collector
安全扫描(ClawHub)
- VirusTotal :良性
- OpenClaw :可疑
OpenClaw 评估
The skill's purpose (querying Meta's Ad Library) is coherent, but the SKILL.md expects sensitive Meta credentials and local code files that are not declared in the registry — these mismatches warrant caution before installing.
目的
Name and description match the instructions: the skill queries the Meta/Facebook Ad Library to produce ad counts, formats, types, durations, and optional spend estimates — that's consistent with the declared purpose.
说明范围
The runtime instructions assume environment variables (META_ACCESS_TOKEN, META_APP_ID, META_APP_SECRET) and local modules (metaAdsService.ts, src/types/audit.types.ts) that are not present in the registry or package. SKILL.md directs the agent to call the external Meta Graph API (expected) but also references application internals and logging behavior that won't exist for an instruction-only skill as published.
安装机制
No install spec and no code files — lowest-risk distribution model — but also means the SKILL.md is purely a specification/instruction and depends on external implementation that isn't bundled.
证书
The instructions require sensitive credentials (META_ACCESS_TOKEN, META_APP_ID, META_APP_SECRET) yet the registry lists no required environment variables or primary credential. This is a mismatch: the skill needs secrets to function but does not declare them, so users may be surprised or the agent may attempt to prompt for or mishandle secrets.
持久
The skill is not always-enabled and does not request elevated platform privileges. Autonomous invocation is allowed (default) but that alone is expected and not a new concern here.
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」。简介:Scans Meta Ad Library API to count active ads, identify ad formats and types, t…。
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/SKILL.md
(来源:yingzhi8.cn 技能库)
SKILL.md
# 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.