content-optimizer
content-optimizer is a Social media content skill for AI agents, published by minicoohei in the ai-agent-camp repository on GitHub. Skillspace rates content-optimizer B (80/100) and it passed the safety scan; the rating is based on static analysis only.
コンテンツのA/Bテスト・自己改善ループを支援するプランナースキル。 市場トレンド調査 → 仮説生成 → 実験設計 → メトリクス収集 → 分析改善の全サイクルをカバー。 「コンテンツを最適化」「投稿を改善したい」「トレンド分析して投稿案を作って」「エンゲージメント改善」等のリクエストで発動。
- Grade
- B
- Quality
- 80 / 100
- Safety
- Passed
- GitHub stars
- 346
Unproven: rated by static analysis only, not yet compared head-to-head.
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
- Structured: ships references or scripts
- Security scan
- Low-risk patterns
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
What the scanner flagged
- mentions secrets in text
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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