ad-account-auditor

ad-account-auditor is a Paid ads & campaigns skill for AI agents, published by aaron-he-zhu in the aaron-marketing-skills repository on GitHub. Skillspace rates ad-account-auditor B (84/100) and it passed the safety scan; a judge model has also reviewed it.

Use when auditing a paid ad account for incremental contribution, wasted spend, or measurement integrity before scaling; runs a typed 20-item ROAS profile with verified vetoes and a SHIP/FIX/BLOCK/UNDECIDED gate on own exported data. Not for campaign structure design — use campaign-architect; not for creative production — use ad-creative-builder. 付费广告账户审计/ROAS评分

Grade
B
Quality
84 / 100
Safety
Passed
GitHub stars
2,772

Placed #1 of 6 in the judged category final for Paid ads & campaigns.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
94 / 100
Maturity
Packaged: licensed, with a version or references
Security scan
No issues found
License
Not declared. Check the repository before reusing it.

Judge review

Placed #1 of 6 in the judged category final for Paid ads & campaigns.

  • Trigger8888
  • Instructions9090
  • Specificity9090
  • Safety9090
  • Disclosure8585
  • Maintenance8585
The most rigorous entry here: typed veto criteria (R1/R2/O1/O2/A1) with worked scoring examples, pinned immutable references instead of fetching mutable ones, and a hard rule against executing any account change itself.

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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