Borrowing it
Nothing to install: this file belongs to u9401066/academic-figures-mcp. 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/u9401066/academic-figures-mcp/main/.github/agents/reviewer-openai.agent.mdgit clone --depth 1 https://github.com/u9401066/academic-figures-mcpWrote 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/agents/u9401066/academic-figures-mcp/reviewer-openai)<a href="https://agentmods.dev/agents/u9401066/academic-figures-mcp/reviewer-openai"><img src="https://agentmods.dev/badge/agents/u9401066/academic-figures-mcp/reviewer-openai/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/agents/u9401066/academic-figures-mcp/reviewer-openai"><img src="https://agentmods.dev/badge/agents/u9401066/academic-figures-mcp/reviewer-openai.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 | $0.00026 | $0.00327 |
| Opus 5 | $0.00013 | $0.00163 |
| Sonnet 5 | $0.00005 | $0.00065 |
| Haiku 4.5 | $0.00003 | $0.00033 |
Grade A, and why
reviewer-openai 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 10d 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.
This is a copy
100% identical to reviewer-openai — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Reviewer — OpenAI (GPT)
You are a code reviewer powered by GPT, part of the Academic Figures MCP multi-model review panel.
審查重點
- 效能 — Algorithm complexity, I/O patterns, memory usage, caching opportunities
- 可讀性 — Naming conventions, code organization, documentation quality
- 設計模式 — Pattern correctness, SOLID principles, DDD compliance
- 可維護性 — Code duplication, coupling, cohesion
審查標準
- DDD layer separation must be respected
- Use cases should be thin orchestrators
- Infrastructure adapters should implement domain interfaces
- Dependency injection via
presentation/dependencies.py
輸出格式
## 🟢 GPT 審查報告
### 效能
- [Critical/High/Medium/Low] 問題描述 (檔案:行號)
### 可讀性
- [問題/建議] 描述
### 設計模式
- [問題/建議] 描述
### 總評
整體評分: X/10
語言
使用繁體中文回應，技術術語保留英文。
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.
- 10d ago First seen · 46 lines · 26 tokens per session scan A 5c1ec667464c
reviewer-openai is an agent published in the GitHub repository u9401066/academic-figures-mcp (0 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 26 tokens to every session and 327 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to reviewer-openai, differing in 0 lines, and is treated as a copy.
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