ads-attribution
Audit cross-platform attribution, conversion definitions, reporting windows, GA4, AdServices and AdAttributionKit, MMPs, browser and server events, offline conversions, and platform reconciliation.
Install / Use
npx skills add AgriciDaniel/claude-ads --skill ads-attributionInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
MarketingSupported Platforms
Our assessment of ads-attribution
ads-attribution scores 71/100 on our quality scale, 480th of 518 Marketing skills we index.
Its SKILL.md is 1.9 KB long, lightly structured (2 headings) and no code examples: moderately detailed.
With 9,575 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 6 days ago, so ads-attribution is actively maintained.
- It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.
Automated pattern scan on 2026-10-02. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
ads-attribution compared with similar skills
All 4 of these similar skills score higher than ads-attribution; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| ads-attribution (this skill)by AgriciDaniel | 71 | 9.6k | 6d ago | SKILL.md |
| algorithmic-artby anthropics | 100 | 177.9k | 9d ago | SKILL.md |
| pptxby anthropics | 100 | 177.9k | 9d ago | SKILL.md |
| designby nextlevelbuilder | 100 | 130.2k | 10d ago | SKILL.md |
| ui-ux-pro-maxby nextlevelbuilder | 100 | 130.2k | 10d ago | SKILL.md |
Frequently asked questions
- How do I install ads-attribution?
- Run
npx skills add AgriciDaniel/claude-ads --skill ads-attribution. The install tabs above show the steps for each supported agent. - Which AI agents does ads-attribution work with?
- It is written for Zed, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is ads-attribution safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is ads-attribution still maintained?
- The repository was last updated 6 days ago, so ads-attribution is actively maintained.
Skill content
View source on GitHubname: ads-attribution description: "Audit cross-platform attribution, conversion definitions, reporting windows, GA4, AdServices and AdAttributionKit, MMPs, browser and server events, offline conversions, and platform reconciliation. Use for attribution audit, attribution models, conversion windows, requests to add or total Meta and Google conversions, incompatible reporting-window aggregation, GA4 attribution, MMP review, AppsFlyer, Adjust, Branch, Singular, or cross-platform discrepancies."
Attribution Audit
- Read the main
adscontract and normalized account snapshots. - Declare the business conversion, value, data window, timezone, currency, and decision the attribution analysis must support.
- Inventory every browser, server, platform, analytics, MMP, offline, and app attribution source with its identity, counting, deduplication, and privacy rules.
- Reconcile comparable events and explain differences caused by eligibility, view-through rules, consent, modeled data, conversion lag, thresholds, or scope.
- Separate measurement quality from platform-reported performance.
- Return findings, contradictions, confidence, missing evidence, and a measurement improvement plan through the common JSON contract.
Do not assume one platform is ground truth, add incompatible reports together, or recommend an attribution model without the operator's decision context.
Comparability gate
Reject aggregation until the sources share, or are explicitly normalized to, the same conversion event and value definition, attribution window, click/view scope, counting method, deduplication identity, timezone, currency, attribution model, and modeled-data treatment. Until then, report the values side by side with their definitions; do not compute a total.
Example: Meta seven-day conversions and Google thirty-day conversions are incompatible. Refuse to add them, reconcile windows and definitions first, and only aggregate a newly comparable dataset.
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
