sealeap-amazon-ad-traffic-allocation
sealeap-amazon-ad-traffic-allocation is a Paid ads & campaigns skill for AI agents, published by xjli360 in the sealeap-amazon-skills repository on GitHub. Skillspace rates sealeap-amazon-ad-traffic-allocation D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Apply a simple Amazon Ads allocation model that separates discovery from exploitation, tests keyword and placement effects, and reallocates budget toward evidence-backed conversion pockets. Use when the user asks for a clear mental model for Amazon ads, how to find good traffic, how to compare placements, or how to reduce poor traffic. Draft only unless live changes are explicitly approved.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 112
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
- 100 / 100
- Maturity
- Basic: a single SKILL.md
- 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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