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.
git clone --depth 1 https://github.com/whitequeen306/code-cortex-loopWrote 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/rules/whitequeen306/code-cortex-loop/security-hardening)<a href="https://agentmods.dev/rules/whitequeen306/code-cortex-loop/security-hardening"><img src="https://agentmods.dev/badge/rules/whitequeen306/code-cortex-loop/security-hardening/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/rules/whitequeen306/code-cortex-loop/security-hardening"><img src="https://agentmods.dev/badge/rules/whitequeen306/code-cortex-loop/security-hardening.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 | $0.00180 | $0.00180 |
| Opus 5.5 | $0.00072 | $0.00072 |
| Sonnet 5.5 | $0.00036 | $0.00036 |
| Haiku 4.5 | $0.00018 | $0.00018 |
Grade A, and why
security-hardening 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 1mo 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.
What it actually says
Security Hardening
每次代码变更必须检查以下 6 条：
- 用户输入 → 是否经过 sanitize/校验（禁止裸传到后端或数据库）
- SQL 查询 → 是否参数化（禁止字符串拼接 SQL）
- 密钥/Token → 是否出现在代码、日志、Git 提交中
- 错误消息 → 是否泄露内部信息（路径、栈、版本号、数据库结构）
- 文件上传 → 是否限制类型、大小、路径（防目录穿越）
- 外部URL → 是否校验白名单（防 SSRF）
违反任何一条的代码不得合并。
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.
- 1mo ago First seen · 19 lines · 180 tokens per session scan A 7fa91e676478
security-hardening is a cursor rule published in the GitHub repository whitequeen306/code-cortex-loop (15 stars, last pushed 2mo ago), licensed MIT. It adds 180 tokens to every session, about $0.0007 per session on Opus 5.5. 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.
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