deep-review
Multi-dimensional code review. Use when the user asks to review, evaluate, or audit a PR, diff, branch, or pasted change — including informal review asks like "look at this change for problems" — via light mode: inline review against the dimension quick checklists. Not for explain-only questions about what a change does or why. Deep mode runs only on explicit invocation (/deep-review): independent dimension coverage, adversarial verification, and global duplicate consolidation before reporting.
Profile →npx skills add lobehub/lobehub --skill deep-review --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Deep Review Multi-dimensional code review built on independent subagents. Review breadth comes from parallel dimension coverage; precision comes from adversarial verification and global duplicate consolidation before findings reach the report. ## Core principles Every design choice below serves one of these. When unsure how to execute a step, come back here. 1. **Anti-hallucination** — reviewers that only see diff fragments invent bugs. Candidate findings are therefore falsified one by one by an **independent verify subagent** that reads full context and returns a three-way verdict (`confirmed` / `false_positive` / `need_more_context`). Three-way verdicts beat confidence percentages: calibrated-sounding scores are unreliable as hard filters. 2. **Anti self-approval** — an agent that just wrote the code is grading its own homework and will pass it. Review must run in **independent subagents** with a third-party reviewer stance. Never silently degrade deep mode to "the main agent reviews and then verifies its own findings". 3. **Rules over model** — review quality comes from fine-grained, executable dimension rules, not from a smarter model. Subagents run on balanced/fast model tie
- Core principles
- Two entry modes
- Dimensions
- Pruning table (deep mode)
- Extension packs
- Light mode procedure
- Deep mode procedure
- Keeping this skill sharp
What does the deep-review skill do?
Multi-dimensional code review. Use when the user asks to review, evaluate, or audit a PR, diff, branch, or pasted change — including informal review asks like "look at this change for problems" — via light mode: inline review against the dimension quick checklists. Not for explain-only questions about what a change does or why. Deep mode runs only on explicit invocation (/deep-review): independent dimension coverage, adversarial verification, and global duplicate consolidation before reporting.
How do I install it?
Run `npx skills add lobehub/lobehub --skill deep-review --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From lobehub/lobehub, a repository with 81,252 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.