Individual skill
ads-server-side-tracking
Audit server-side paid-media measurement including server-side tag management, platform conversion APIs, event taxonomy, browser/server deduplication, consent, hashing, data quality, observability, and privacy. Use for server-side tracking, sGTM, server-side tagging, Meta CAPI, TikTok Events API, event_id, deduplication, pixel debugging, first-party measurement, or conversion data loss.
skills/ads-server-side-tracking/SKILL.md
Source commit fc3908e786c318776df89a3a098333da377364be
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 10,912
- Repository last updated
- Nov 1, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- claude-code Repository topic
- claude-code-skill Repository topic
- ai-marketing Repository topic
- ai Repository topic
- marketing-automation Repository topic
- open-source Repository topic
- agent-skills Repository topic
- google-ads Repository topic
- meta-ads Repository topic
- paid-advertising Repository topic
- data Derived category
- security Derived category
- testing Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
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# Server-Side Tracking Audit
1. Map collection, consent, transport, transformation, destination, storage, and
observability components.
2. Compare browser and server event taxonomy, parameters, IDs, timestamps, values,
currency, user data, and consent state.
3. Verify deduplication, replay handling, retries, latency, diagnostics, and test
events without exposing personal data.
4. Inspect hashing and minimization before transmission; hashing does not make
unnecessary data collection acceptable.
5. Reconcile destination diagnostics with source logs and business conversions.
6. Return schema-valid findings, failure modes, owner, priority, and verification
steps. Do not change production tracking from an audit.
