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 skills/zte-aicloud/co-omnispec/java-coding-standardsnpx skills add ZTE-AICloud/Co-OmniSpec --skill java-coding-standardsgit clone --depth 1 https://github.com/ZTE-AICloud/Co-OmniSpecWhat 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 | $0.00050 | $0.02673 |
| Opus 5 | $0.00025 | $0.01337 |
| Sonnet 5 | $0.00010 | $0.00535 |
| Haiku 4.5 | $0.00005 | $0.00267 |
Grade A, and why
java-coding-standards 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 3d 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.
How it starts
The opening of the file, as written. The whole thing — 384 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Java Coding Standards
Standards for readable, maintainable Java (17+) code in Spring Boot and Quarkus services.
When to Use
- Writing or reviewing Java code in Spring Boot or Quarkus projects
- Enforcing naming, immutability, or exception handling conventions
- Working with records, sealed classes, or pattern matching (Java 17+)
- Reviewing use of Optional, streams, or generics
- Structuring packages and project layout
- [QUARKUS]: Working with CDI scopes, Panache entities, or reactive pipelines
How It Works
Framework Detection
Before applying standards, determine the framework from the build file:
- Build file contains
quarkus→ apply [QUARKUS] conventions - Build file contains
spring-boot→ apply [SPRING] conventions - Neither detected → apply shared conventions only
Core Principles
- Prefer clarity over cleverness
- Immutable by default; minimize shared mutable state
- Fail fast with meaningful exceptions
- Consistent naming and package structure
- [QUARKUS]: Favor build-time over runtime processing; avoid runtime reflection where possible
Examples
The sections below show concrete Spring Boot, Quarkus, and shared Java examples for naming, immutability, dependency injection, reactive code, exceptions, project layout, logging, configuration, and tests.
Naming
// PASS: Classes/Records: PascalCase
public class MarketService {}
public record Money(BigDecimal amount, Currency currency) {}
// PASS: Methods/fields: camelCase
private final MarketRepository marketRepository;
public Market findBySlug(String slug) {}
// PASS: Constants: UPPER_SNAKE_CASE
private static final int MAX_PAGE_SIZE = 100;
// PASS: [QUARKUS] JAX-RS resources named as *Resource, not *Controller
public class MarketResource {}
// PASS: [SPRING] REST controllers named as *Controller
public class MarketController {}
Immutability
// PASS: Favor records and final fields
public record MarketDto(Long id, String name, MarketStatus status) {}
public class Market {
private final Long id;
private final String name;
// getters only, no setters
}
// PASS: [QUARKUS] Panache active-record entities use public fields (Quarkus convention)
@Entity
public class Market extends PanacheEntity {
public String name;
public MarketStatus status;
// Panache generates accessors at build time; public fields are idiomatic here
}
// PASS: [QUARKUS] Panache MongoDB entities
@MongoEntity(collection = "markets")
public class Market extends PanacheMongoEntity {
public String name;
public MarketStatus status;
}
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.
- 3d ago First seen · 384 lines · 50 tokens per session scan A fe851ef82b71
java-coding-standards is a skill published in the GitHub repository ZTE-AICloud/Co-OmniSpec (54 stars, last pushed 1mo ago), licensed MIT. It adds 50 tokens to every session and 2,673 once invoked, about $0.0003 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.
Other skills, from other repositories
airflow-java-sdk
Guide for contributing to the Airflow Java SDK (AIP-108). Use this skill whenever a contributor is working in the java-sdk/ directory or on the Java coordinator in task-sdk/src/airflow/sdk/coordinators/java/ — whether they want to add a feature, write tests, fix a bug, understand the architecture, or prepare a PR.…
jni-type-conversion
How to use @JniType annotations for ergonomic JNI. Relevant for Java files that use @NativeMethods or @CalledByNative.
wxjava-module-selector
根据微信公众号、小程序、微信支付、企业微信、开放平台、视频号或微信小店、腾讯企点和微信智能对话等业务场景,为用户选择合适的 WxJava Maven 模块、BOM 和示例入口。适用于用户询问“该用哪个模块”、依赖坐标、产品边界或单/多账号 Starter 选择时。.
azure-ai-formrecognizer-java
Azure AI Document Intelligence SDK for Java (com.azure:azure-ai-documentintelligence). Use for extracting text, tables, key-value pairs from documents, receipts, invoices, IDs, or building custom document models. Triggers: "document intelligence java", "form recognizer java", "extract text from PDF java", "OCR…
azure-ai-anomalydetector-java
Build anomaly detection applications with Azure AI Anomaly Detector SDK for Java. Use when implementing univariate/multivariate anomaly detection, time-series analysis, or AI-powered monitoring.
azure-communication-chat-java
Build real-time chat applications with Azure Communication Services Chat Java SDK. Use when implementing chat threads, messaging, participants, read receipts, typing notifications, or real-time chat features.