wxjava-integration-guide

A setup guide for connecting Java, Spring Boot, or Solon applications to WxJava, a Java software development kit for WeChat services. It covers choosing modules, adding dependencies, configuring accounts, and making an initial API call.

In plain words
What is it for?
Use it to connect services such as official accounts, mini programs, payments, enterprise accounts, the Open Platform, Channels, or WeChat Shop. It can produce dependency choices, configuration examples, minimal server code, and verification steps.
Why use it?
It helps developers choose the right WeChat integration pieces and avoid unsafe or incomplete setup. It also provides checks for local validation and reminders about credentials, callbacks, payments, and multi-server deployments.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/binarywang/wxjava/wxjava-integration-guide
Any agent
npx skills add binarywang/WxJava --skill wxjava-integration-guide
Clone the repo
git clone --depth 1 https://github.com/binarywang/WxJava

Made for: Claude Code, Codex.

Per session 72 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 274 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00072 $0.00274
Opus 5 $0.00036 $0.00137
Sonnet 5 $0.00014 $0.00055
Haiku 4.5 $0.00007 $0.00027

Measured yesterday against content hash 70dfb3b2bb16, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

wxjava-integration-guide 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 yesterday.

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.

skills/wxjava-integration-guide/SKILL.md · 15 lines

What it actually says

WxJava 接入指南

  1. 确认微信产品、框架、单/多账号、部署形态和首个 API 调用。
  2. 读取 接入约束,选择模块和配置方式。
  3. 先输出依赖与配置,再输出最小调用;每段示例注明应放置的位置和所依赖的模块。
  4. 输出脱敏配置和最小服务端代码;凭据一律用占位符。
  5. 给出本地验证步骤与安全提醒;支付、回调和证书示例不得直接用于生产。

保持 Java 8 兼容。生产集群必须使用可共享的配置存储或 token 存储;不要把内存实现当作多节点部署方案。引用已有 Demo、Wiki 或 README 作为继续阅读入口;不虚构配置键、SDK 方法或版本号。

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

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.

  1. yesterday First seen · 15 lines · 72 tokens per session scan A 70dfb3b2bb16

Subscribe to this mod's changes

wxjava-integration-guide is a skill published in the GitHub repository binarywang/WxJava (33,051 stars, last pushed 2d ago), licensed Apache-2.0. It adds 72 tokens to every session and 274 once invoked, about $0.0004 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 2026-08-30.