deep-review
deep-review is a Multi-agent review & consensus skill for AI agents, published by AnastasiyaW in the claude-code-config repository on GitHub. Skillspace rates deep-review D (63/100) and it passed the safety scan; the rating is based on static analysis only.
Parallel competency-based code review. Launches independent Agent reviewers per competency (security, performance, architecture, database, concurrency, error-handling, frontend, testing), each with a focused checklist and isolated context. Synthesizes findings into unified report with FIX/DEFER/ACCEPT triage. Use when: "deep review", "thorough review", "parallel review", "review by competency", "full code review", or for large diffs (200+ lines) where /review may be too shallow. Complements /review (pre-landing) — this is for deep dives. Do NOT use just to orient in an unfamiliar codebase or get a structural symbol overview; use repo-map for that (this audits a concrete diff for defects, it is not a navigation map).
- Grade
- D
- Quality
- 63 / 100
- Safety
- Passed
- GitHub stars
- 135
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
- 80 / 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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