Borrowing it
Nothing to install: this file belongs to dengxu11111/dual-ai-paper-coach. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/dengxu11111/dual-ai-paper-coach/main/.codex/prompts/review.mdgit clone --depth 1 https://github.com/dengxu11111/dual-ai-paper-coachWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/dengxu11111/dual-ai-paper-coach/review)<a href="https://agentmods.dev/commands/dengxu11111/dual-ai-paper-coach/review"><img src="https://agentmods.dev/badge/commands/dengxu11111/dual-ai-paper-coach/review/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/dengxu11111/dual-ai-paper-coach/review"><img src="https://agentmods.dev/badge/commands/dengxu11111/dual-ai-paper-coach/review.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00000 | $0.00818 |
| Opus 5 | $0.00000 | $0.00409 |
| Sonnet 5 | $0.00000 | $0.00164 |
| Haiku 4.5 | $0.00000 | $0.00082 |
Grade A, and why
review scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Codex 审稿模板(备用)
这份是直接在 Codex CLI 里跑的 prompt 模板。 正常流程是 Claude Code 通过
/codex-review自动调用;如果你想绕过 Claude 直接让 Codex 审,可以手动用这份 prompt。输出语言策略:审稿报告强制英文(与论文一致 + /iterate 命令依赖固定的 英文措辞模式做替换)。中文说明只用于人类阅读流程,不影响 AI 输出。
用法(手动 REPL)
⚠️ 务必在项目根目录(含
AGENTS.md的目录)启动codex,不要 cd 进my-paper/——否则路径会错。
# 在项目根目录(不是 my-paper/)执行
codex
进入 Codex REPL 后粘贴:
读以下文件并按照 reviewer_system.md 的格式产出结构化审稿报告:
AGENTS.md—— 你的工作守则prompts/reviewer_system.md—— 审稿系统准则prompts/review_paper.md—— 任务模板({manuscript} 替换为 draft.md 的内容)my-paper/draft.md—— 当前论文my-paper/data/analysis_results.json(如果存在)——数字核验来源
输出:
- 审稿报告写到
my-paper/review_round_<N>.md(N 是新的轮次号,看 my-paper/review_round_*.md 已存在的最大 N+1) - 不要修改任何其他文件
- 不要去看 prompts/writer_system.md(那会污染你的独立性判断)
- 如果
analysis_results.json存在,逐条核对论文里的定量数字;对不上或找不到的数字写成 Critical Issue - 如果
analysis_results.json不存在,明确写 "numerical verification was unavailable"
按 reviewer_system.md 的格式输出 Score / Summary / Critical / Important / Minor / Wording / Verdict。
用法(一次性 exec)
在项目根目录跑。
codex exec --skip-git-repo-check --sandbox workspace-write \
-c 'model_reasoning_effort="xhigh"' \
"Read AGENTS.md, prompts/reviewer_system.md, prompts/review_paper.md, my-paper/draft.md, and if present my-paper/data/analysis_results.json. The {manuscript} placeholder in review_paper.md should be replaced with draft.md content. If analysis_results.json is present, verify every quantitative manuscript claim against it and flag any mismatch or unverifiable number as a Critical Issue. If it is absent, state that numerical verification was unavailable. Produce a structured peer review per reviewer_system.md format. Write to my-paper/review_round_<N>.md. Do not modify other files."
关键参数(缺一就会卡):
--skip-git-repo-check— 避免 Codex 卡 git repo 检查--sandbox workspace-write— 必须,默认沙盒只读 Codex 写不进 review_round_N.md-c 'model_reasoning_effort="xhigh"'— 审稿要 xhigh,默认 medium 漏问题
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 64 lines · 0 tokens per session scan A 2e415a5c8e24
review is a command published in the GitHub repository dengxu11111/dual-ai-paper-coach (12 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 818 tokens. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.