effect-monitoring
effect-monitoring is a Marketing analytics & attribution skill for AI agents, published by aAAaqwq in the AGI-Super-Team repository on GitHub. Skillspace rates effect-monitoring D (62/100) and it passed the safety scan; the rating is based on static analysis only.
Use when monitoring Xiaohongshu marketing campaign performance, tracking promotion effectiveness, analyzing advertising ROI, measuring influencer collaboration results, evaluating activity success rates, or optimizing marketing spend allocation
- Grade
- D
- Quality
- 62 / 100
- Safety
- Passed
- GitHub stars
- 75
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.
Our review
- Architecture
- 89 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 2 other repositories, in 2 collections
Not checked 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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