Borrowing it
Nothing to install: this file belongs to 363045841/KLineChartQuant. 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/363045841/KLineChartQuant/main/.opencode/skills/codereview/SKILL.mdgit clone --depth 1 https://github.com/363045841/KLineChartQuantWrote 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/skills/363045841/klinechartquant/codereview)<a href="https://agentmods.dev/skills/363045841/klinechartquant/codereview"><img src="https://agentmods.dev/badge/skills/363045841/klinechartquant/codereview/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/skills/363045841/klinechartquant/codereview"><img src="https://agentmods.dev/badge/skills/363045841/klinechartquant/codereview.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00029 | $0.00420 |
| Opus 5.5 | $0.00012 | $0.00168 |
| Sonnet 5.5 | $0.00006 | $0.00084 |
| Haiku 4.5 | $0.00003 | $0.00042 |
Grade A, and why
codereview 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 2mo 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
Code Review Principles
在进行代码和架构 Review 时，重点检查以下四类问题：
1. 状态一致性
检查同一业务状态是否被拆成多个字段、缓存或存储位置维护。
- 优先确认是否存在单一事实来源。
- 派生值应通过 computed 或统一投影获得。
- 关注手动同步、影子缓存和异步覆盖造成的不一致。
2. 边界职责
检查各层是否职责重叠。
- 避免多个层重复保存同一状态。
- 避免无实际价值的转发方法和包装层。
- 公共 API 不应暴露未完成或仅属于内部实现的抽象。
3. 模型契约
检查协议模型、领域模型和 UI 模型是否有清晰且唯一的权威定义。
- 避免重复定义结构相同的类型。
- 若协议模型就是前端标准模型，直接复用领域类型。
- 若两者确实不同，必须明确字段转换、校验和默认值规则。
4. 变更传播
检查重命名、状态重构和公共 API 变化是否同步传播到代码、测试、文档和导出入口。
- 搜索旧名称和残留引用。
- 确认测试代码也经过 TypeScript 检查，避免只通过运行时转译。
- 检查包级导出、README、设计文档和框架绑定是否同步。
Review Output
优先报告可复现的问题和高风险坏味道，并提供文件与行号。 每个 finding 说明：问题是什么、为什么有风险、建议如何收敛。 如果没有发现问题，说明已检查的边界和剩余测试风险。
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.
- 2mo ago First seen · 47 lines · 29 tokens per session scan A ef708eec5bfe
codereview is a skill published in the GitHub repository 363045841/KLineChartQuant (37 stars, last pushed today), licensed Apache-2.0. It adds 29 tokens to every session and 420 once invoked, about $0.0001 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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