tracking-leak-detector
Skill4 starsChanged 6 months agoMITView on GitHub
Detect gaps between expected and actual conversion tracking across ad platforms (Meta, Google, LinkedIn, TikTok, Reddit) and CRMs. Surfaces blind spots in pixel/CAPI/Enhanced Conversions that silently erode ROAS measurement.
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The file
We split this skill into the rules it gives an agent
4 rules. About 0 are common, 1 is distinctive, and 3 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈1
Distinctive · estimate
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 124
Call detect_tracking_leaks with days=30
- Distinctive: line 127
If view-through blind spot detected, explain that LinkedIn VTCs may be uncounted
- Very specific: line 133
Call attribution_health_check first for overall status
- Very specific: line 134
Call detect_tracking_leaks for active issues
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Tracking Leak Detector
Detects gaps between expected and actual conversion tracking across all ad platforms and CRMs. Surfaces blind spots that silently erode ROAS measurement.
When to Use This Skill
- User asks "why are my conversions low?" or "is my tracking working?"
- ROAS numbers seem unexpectedly low or inconsistent
- A platform is spending money but showing 0 conversions
- CRM shows more/fewer conversions than ad platforms report
- Conversions suddenly dropped on a platform
- User wants to audit their tracking setup before scaling spend
- User mentions "tracking leaks" or "attribution gaps"
Agent Tools
This skill provides two agent tools:
detect_tracking_leaks
Analyzes the last N days of data to find:
| Leak Type | What It Detects |
zero_conversion_spend | Platforms spending money but reporting 0 conversions |
crm_ad_mismatch | CRM conversion count differs significantly from ad platform totals |
conversion_drop | Sudden drop (>70%) in conversions vs prior period |
utm_missing | CRM contacts from paid sources without UTM campaign data |
view_through_blind_spot | Platforms (Meta, LinkedIn, TikTok) with no impression tracking |
Each leak includes a severity (critical/warning/info), description, estimated impact, and specific recommendation.
attribution_health_check
Comprehensive check of the full attribution pipeline:
| Check | What It Validates |
| CRM Connections | HubSpot, Attio, Salesforce token status and data freshness |
| Ad Platform Data | Data freshness for all connected platforms |
| Conversion Events | Whether conversion events are being recorded |
| View-Through Tracking | Whether impression/view events exist for VTC attribution |
| UTM Coverage | Percentage of CRM contacts with campaign attribution |
How Leaks Are Detected
1. Zero-Conversion Spend (Critical)
IF platform.spend > $100 AND platform.conversions == 0
THEN → Likely broken pixel or misconfigured conversion action2. CRM-to-Ad Mismatch (Warning)
IF crm_conversions / ad_conversions > 1.5
THEN → Ads are under-reporting (UTM tracking gaps)
IF crm_conversions / ad_conversions < 0.5
THEN → Ads are over-counting (double-counting or CRM sync broken)3. Conversion Drop (Critical)
IF current_period_conversions / prior_period_conversions < 0.3
THEN → 70%+ drop suggests broken tracking, not performance decline4. UTM Missing (Warning)
IF contacts_from_paid_without_utm / total_contacts > 0.2
THEN → 20%+ of paid contacts have no campaign attribution5. View-Through Blind Spot (Info)
IF platform IN (Meta, LinkedIn, TikTok, Pinterest)
AND impression_events == 0
THEN → View-through conversions are not being capturedSupported CRMs
| CRM | Revenue Source | Status |
| HubSpot | Deal amounts from crm_events (deal_won) | Active |
| Attio | Deal/record values synced via API | Active |
| Salesforce | Opportunity amounts | Active |
Supported Ad Platforms
| Platform | Conversion Tracking | View-Through |
| Google Ads | Click-through | N/A (handled by Google) |
| LinkedIn Ads | Click-through + VTC | Supported |
| Meta Ads | Click-through + VTC | Supported |
| Microsoft Ads | Click-through | N/A |
| Reddit Ads | Click-through | Planned |
| X Ads | Click-through | Planned |
| TikTok Ads | Click-through + VTC | Supported |
| Amazon Ads | Click-through + VTC | Supported |
| StackAdapt | Click-through + VTC | Supported |
| The Trade Desk | Click-through + VTC | Supported |
Example Usage
User: "My ROAS seems way too low on LinkedIn. Is something wrong with tracking?"
Agent should:
- Call
detect_tracking_leakswith days=30 - Call
attribution_health_check - Report any leaks found, focusing on LinkedIn
- If view-through blind spot detected, explain that LinkedIn VTCs may be uncounted
- Provide specific remediation steps
User: "Run a tracking audit before I increase spend"
Agent should:
- Call
attribution_health_checkfirst for overall status - Call
detect_tracking_leaksfor active issues - Present a summary table of all findings
- Prioritize critical issues that should be fixed before scaling
Related Skills
conversion-tracking— Setup and verification of conversion pixels11-ad-platform-data— Pulling performance data from platformsbudget-optimizer— Budget allocation (depends on accurate attribution)
Last Updated: March 2026
About this skill
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