db-access-analysis
db-access-analysis is a Backend performance & caching skill for AI agents, published by mazrean in the isucrud repository on GitHub. Skillspace rates db-access-analysis D (60/100) and it passed the safety scan; the rating is based on static analysis only.
Goプロジェクト内でDBアクセス(CRUD)が発生している関数・テーブルをisucrudで解析し、コーディングエージェントが「どの関数からどのテーブルにINSERT/UPDATE/DELETE/SELECTが行われるか」を把握するためのスキル。キャッシュ対象の判断、N+1の特定、DBアクセスを伴う関数の影響範囲調査、リファクタリング前のCRUD確認などに使用する。Go (database/sql, sqlx 等) で書かれたプロジェクトが対象。
- Grade
- D
- Quality
- 60 / 100
- Safety
- Passed
- GitHub stars
- 41
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
- 86 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- MIT
- Adoption
- Adopted by 0 other repositories, in 0 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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