ads-audit
AgriciDaniel/claude-ads / skills/ads-audit
audits your paid ad accounts with evidence , which improves: spots waste, risks and optimization leads
Details
- judge’s score
- 6/10
- place
- outside the packs
- publisher
- AgriciDaniel
- status
- new
- pinned commit
- fc3908e on GitHub (new tab)
- skill’s last commit
- Oct 7, 2026
- repo stars
- 10,209
- main type
- Other
Judgement
Precise triggering and testable completeness rules. But the skill relies on a contract, schemas and a control registry that are absent, and the multi-agent pipeline is heavy and little anchored in verifiable practices.
reservations
- Annexes missing: the 'ads' operational contract, audit-worker-result v1 schema, control registry, capability manifests and benchmarks are not provided, so the skill is not executable as is.
- Very broad scope (12 platforms, 4 cross-cutting workers) for a single SKILL.md; the real value depends on external files that cannot be verified.
- Much procedure and formatting rules, few concrete commands or examples for a given platform.
- HTML and PDF outputs are optional and without precision on tooling.
- Triggering
- 2/2
- Added value
- 1/2
- Precision
- 1/2
- Scope
- 1/2
- Quality
- 1/2
Alerts
2 alerts, by category
Data
- medium risk
Reads authenticated ad accounts and client lists: the skill does not specify how credentials are handled or how personal data is minimized.
Instruction
- medium risk
Mutations proposed on real accounts are planned, but the 'mutation gate' that validates them is not defined in the skill.
Original description
Run a source-grounded paid-advertising audit for one or more of Google, Meta, YouTube, LinkedIn, TikTok, Microsoft, Apple, Amazon, Reddit, Pinterest, Snapchat, and X. Use for full ad checks, account health reviews, paid-media diagnostics, partial audits after authentication or worker failure, missin…
added on Oct 18, 2026 · license MIT