بنقرة واحدة
autoreview
Run structured code/security review for local, branch, or commit diffs with explicit RED-safe routing.
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
القائمة
Run structured code/security review for local, branch, or commit diffs with explicit RED-safe routing.
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
Improve, audit, simplify, rewrite, or migrate prompts, tool descriptions, agent instructions, and prompt stacks for GPT-5.6 Sol or the GPT-5.6 family. Use for outcome-first prompt design, autonomy boundaries, tool routing, PTC, grounding, verbosity, reasoning effort, and prompt evals.
Apply a deep, design-minded engineering workflow for complex work that needs careful planning, iteration, and simplification.
Use when preparing or running a Claude CLI agentic engineering review through claude -p for repository audits, architecture analysis, system design, security review, large refactors, specs, RFCs, or evidence-grounded long-form engineering analysis.
Use when preparing or running a ZCode GLM-5.2 agentic builder workflow through zcode --prompt for fast implementation, iterative code generation, focused fixes, and validation on an existing repository.
Apply adversarial opposite-analysis to plans, specs, architecture, code changes, and claims. Use when the user asks for adversarial review, opposing analysis, contrarian review, red-team reasoning, or Z.ai and MiniMax cross-checks through the Ralph MCP router.
Review and adjudicate Bugbot, Cursor, Seer, and similar automated PR feedback with local evidence before accepting, fixing, or dismissing findings.
| name | autoreview |
| description | Run structured code/security review for local, branch, or commit diffs with explicit RED-safe routing. |
Use this repo-local skill for AI-assisted code review when the reviewed content is safe for the selected reviewer engine.
Canonical implementation for review lives at skills/autoreview/ in this repo.
Run it from the target repository:
python3 skills/autoreview/scripts/autoreview.py --mode auto --dry-run
python3 skills/autoreview/scripts/autoreview.py --mode local --review-pass 1 --review-total 10
python3 skills/autoreview/scripts/autoreview.py --mode branch --base origin/main --review-pass 1 --review-total 10
python3 skills/autoreview/scripts/autoreview.py --mode branch --base origin/main --review-pass 10 --review-total 10
python3 skills/autoreview/scripts/autoreview.py --mode commit --commit HEAD --review-pass 1 --review-total 10
Defaults are Ralph-safe: web search, git fetch, and untracked files are all
opt-in, and sensitive content blocks reviewer execution before any engine call.
Execution is also bounded: choose a pass budget from 1 to 10, run each pass at
most once with --review-pass N --review-total M, stop early on a clean pass,
and stop at pass M even if residual findings remain. Do not commit one finding
at a time or run autoreview until clean.
Keep this local until review passes; promote globally only after explicit user
approval.