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 skills add guyulong/cn-agent-skills --skill wechat-miniapp-reviewgit clone --depth 1 https://github.com/guyulong/cn-agent-skillsWrote 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/guyulong/cn-agent-skills/wechat-miniapp-review)<a href="https://agentmods.dev/skills/guyulong/cn-agent-skills/wechat-miniapp-review"><img src="https://agentmods.dev/badge/skills/guyulong/cn-agent-skills/wechat-miniapp-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/skills/guyulong/cn-agent-skills/wechat-miniapp-review"><img src="https://agentmods.dev/badge/skills/guyulong/cn-agent-skills/wechat-miniapp-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 | $0.00019 | $0.00423 |
| Opus 5 | $0.00010 | $0.00211 |
| Sonnet 5 | $0.00004 | $0.00085 |
| Haiku 4.5 | $0.00002 | $0.00042 |
Grade A, and why
wechat-miniapp-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 11d 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
微信小程序代码审查
使用场景
审查微信小程序代码，确保符合微信平台规范和最佳实践。
检查清单
1. 配置文件检查
app.json页面路径是否正确project.config.jsonappid是否配置sitemap.json是否配置索引规则
2. 页面结构检查
- WXML 标签是否正确闭合
- 使用
<view>而非<div> - 使用
<text>而非<span> <image>必须设置mode属性
3. 样式检查
- rpx 单位使用是否正确
- 全局样式是否在
app.wxss中 - 避免使用
*选择器
4. 逻辑检查
wx.request是否处理了失败回调- 是否在
onUnload中清理定时器 - 是否处理了用户拒绝授权的情况
setData数据量是否过大（应<256KB）
5. 性能检查
- 图片是否压缩
- 是否使用了分包加载
- 长列表是否使用虚拟列表
- 避免在
onPageScroll中频繁setData
6. 安全检查
- 敏感信息不存储在本地
- 接口请求使用 HTTPS
- 用户输入做了XSS过滤
- 不在前端存放密钥
7. 合规检查
- 隐私协议是否配置
- 用户信息获取是否有说明
- 支付功能是否有资质
- 内容是否符合平台规范
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.
- 11d ago First seen · 55 lines · 19 tokens per session scan A b2a1698b5bb3
wechat-miniapp-review is a skill published in the GitHub repository guyulong/cn-agent-skills (3 stars, last pushed 3mo ago), licensed MIT. It adds 19 tokens to every session and 423 once invoked, about $0.0001 per session on Opus 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 2026-08-31.
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