sealeap-amazon-acos-diagnostics

sealeap-amazon-acos-diagnostics is a Paid ads & campaigns skill for AI agents, published by xjli360 in the sealeap-amazon-skills repository on GitHub. Skillspace rates sealeap-amazon-acos-diagnostics C (71/100) and it passed the safety scan; the rating is based on static analysis only.

Diagnose Amazon Ads ACOS with reconciled CTR, CPC, CVR, AOV, ROAS, TACOS, placement, search-term, benchmark, attribution, and contribution-margin evidence, then produce a single-variable optimization experiment. Use for ACOS 高低判断, 广告亏损, CTR/CVR/CPC 异常, 盈亏平衡 ACOS, 广告报告诊断, Benchmark 基准, placement 浪费, 搜索词不精准, Listing 转化问题, 广告利润优化, or converting the authorized Amazon Ads metrics course into an account-specific plan. Default to read-only diagnosis and draft; never change live campaigns without explicit human approval.

Grade
C
Quality
71 / 100
Safety
Passed
GitHub stars
95

Unproven: rated by static analysis only, not yet compared head-to-head.

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

View source on GitHubxjli360/sealeap-amazon-skills

Our review

Architecture
94 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
Not declared. Check the repository before reusing it.

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • Not judged on the rubric yet (not a contender in its category)
  • 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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