بنقرة واحدة
aireview
Professional Codex-native multi-agent code review with confidence scoring
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
القائمة
Professional Codex-native multi-agent code review with confidence scoring
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
AI-native code annotation protocol that encodes intent, risk, dependencies, constraints, and test expectations in machine-parseable comments.
架构规划专家 - 使用 Codex 本地上下文、仓库证据和只读 child agent 进行大型系统架构设计与规划。
Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.
Imported from everything-codex command checkpoint
Universal coding standards, best practices, and patterns for TypeScript, JavaScript, React, and Node.js development.
Use when the user explicitly asks for Conductor, wants track/spec/plan/review artifacts on disk, or needs long-lived project context management. Prefer start-dev for small or one-off tasks. If Conductor is not configured in the project, start with setup.
| name | aireview |
| description | Professional Codex-native multi-agent code review with confidence scoring |
| version | 0.2.0 |
| source | fork |
| checksum | 68532b697123ed831fda4f0e70cd4b5f28ff091bc22eb082b0afa9c95f0a6f67 |
| updated_at | "2026-05-29T03:50:00.000Z" |
| intent | code-review |
| layer | quality |
aireview is the advanced review layer. Use normal code-review for fast baseline findings, then escalate to aireview when the diff is large, sensitive, cross-cutting, security-relevant, or release-blocking.
All review output should be in Chinese unless the user asks otherwise.
Codex supports read-only child agents. Delegate with spawn_agent, collect with wait_agent, and clean up with close_agent.
spawn_agent -> wait_agent -> close_agent
No external model CLI is required. Deep mode is implemented with Codex child agents.
aireview --diff
aireview --diff --staged
aireview HEAD~1..HEAD
aireview origin/feature-branch
aireview origin/feature-branch --quick
aireview origin/feature-branch --deep
aireview --pr 123
Use for small diffs. Main Codex performs a focused review:
Use for ordinary PRs. Dispatch read-only perspectives:
| Perspective | Agent | Focus |
|---|---|---|
| Context explorer | explorer | Changed files, local conventions, execution path |
| Owner reviewer | reviewer | Correctness, security, regressions, missing tests |
| Docs verifier | docs-researcher | API/version claims and external behavior when needed |
Use for large or high-risk changes. Run multiple focused review passes:
explorer: trace architecture and integration impactreviewer: lead with concrete bugs and risksdocs-researcher: verify version-sensitive claimsRun:
git status --short
git diff --stat
git diff
git diff --staged
For branch reviews:
git fetch --all --prune
git diff --stat main...<branch>
git diff main...<branch>
Read applicable repo instructions and changed files before judging.
Example prompts:
spawn_agent(agent_type="explorer", message="
Read-only. Trace the changed execution paths and cite files/symbols.
Focus on architecture impact, coupling, and hidden integration points.
")
spawn_agent(agent_type="reviewer", message="
Read-only. Review like an owner.
Lead with correctness, security, regressions, and missing tests.
Return only concrete findings with file/line references when possible.
")
spawn_agent(agent_type="docs-researcher", message="
Read-only. Verify any framework/API/version-sensitive claims against primary docs
or local package/config versions. Cite sources.
")
For each finding:
Filter out findings below 80 confidence unless the risk is severe and clearly labeled uncertain.
Lead with findings:
## Findings
1. [P1] Title
- File: `path:line`
- Evidence: ...
- Impact: ...
- Fix: ...
- Confidence: 90
## Open Questions
## Test Gaps
## Summary
If child agents are unavailable, produce the same review in one response using:
[EXPLORER]
[REVIEWER]
[DOCS]
[SYNTHESIS]