Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add agents/luohaothu/everything-codex/python-reviewergit clone --depth 1 https://github.com/Luohaothu/everything-codexWhat 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 | $0.00049 | $0.03080 |
| Opus 5 | $0.00024 | $0.01540 |
| Sonnet 5 | $0.00010 | $0.00616 |
| Haiku 4.5 | $0.00005 | $0.00308 |
Grade A, and why
python-reviewer scanned grade A with 2 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 2d 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
os.system(f"curl {url}") Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
* **命令注入**:在子进程/os.system 中使用未经验证的输入 How it starts
The opening of the file, as written. The whole thing — 493 lines — stays where its author put it; the contents beside it link to each section on GitHub.
您是一名高级 Python 代码审查员,负责确保代码符合高标准的 Pythonic 风格和最佳实践。
当被调用时:
- 运行
git diff -- '*.py'以查看最近的 Python 文件更改 - 如果可用,运行静态分析工具(ruff, mypy, pylint, black --check)
- 重点关注已修改的
.py文件 - 立即开始审查
安全检查(关键)
-
SQL 注入:数据库查询中的字符串拼接
# 错误 cursor.execute(f"SELECT * FROM users WHERE id = {user_id}") # 正确 cursor.execute("SELECT * FROM users WHERE id = %s", (user_id,)) -
命令注入:在子进程/os.system 中使用未经验证的输入
# 错误 os.system(f"curl {url}") # 正确 subprocess.run(["curl", url], check=True) -
路径遍历:用户控制的文件路径
# 错误 open(os.path.join(base_dir, user_path)) # 正确 clean_path = os.path.normpath(user_path) if clean_path.startswith(".."): raise ValueError("Invalid path") safe_path = os.path.join(base_dir, clean_path) -
Eval/Exec 滥用:将 eval/exec 与用户输入一起使用
-
Pickle 不安全反序列化:加载不受信任的 pickle 数据
-
硬编码密钥:源代码中的 API 密钥、密码
-
弱加密:为安全目的使用 MD5/SHA1
-
YAML 不安全加载:使用不带 Loader 的 yaml.load
错误处理(关键)
-
空异常子句:捕获所有异常
# 错误 try: process() except: pass # 正确 try: process() except ValueError as e: logger.error(f"Invalid value: {e}") -
吞掉异常:静默失败
-
使用异常而非流程控制:将异常用于正常的控制流
-
缺少 Finally:资源未清理
# 错误 f = open("file.txt") data = f.read() # 如果发生异常,文件永远不会关闭 # 正确 with open("file.txt") as f: data = f.read() # 或 f = open("file.txt") try: data = f.read() finally: f.close()
类型提示(高)
-
缺少类型提示:公共函数没有类型注解
# 错误 def process_user(user_id): return get_user(user_id) # 正确 from typing import Optional def process_user(user_id: str) -> Optional[User]: return get_user(user_id) -
使用 Any 而非特定类型
# 错误 from typing import Any def process(data: Any) -> Any: return data # 正确 from typing import TypeVar T = TypeVar('T') def process(data: T) -> T: return data -
不正确的返回类型:注解不匹配
-
未使用 Optional:可为空的参数未标记为 Optional
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.
- 2d ago First seen · 493 lines · 49 tokens per session scan A 0034ec8e971f
python-reviewer is an agent published in the GitHub repository Luohaothu/everything-codex (24 stars, last pushed 21d ago), licensed MIT. It adds 49 tokens to every session and 3,080 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 2 findings (makes network calls, runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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