FIT is an enterprise AI development framework with a multilingual function engine, a flow orchestration engine, and Java tools for connecting language models, knowledge bases, and external tools. It is for Java-oriented teams building AI applications that can run locally or in distributed deployments with plugins. The catalogue add-ons provide commands, skills, instructions, and settings for working with FIT.
Borrowing it
Nothing to install: this file belongs to ModelEngine-Group/fit-framework. 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/ModelEngine-Group/fit-framework/main/.agents/skills/test-integration/SKILL.mdgit clone --depth 1 https://github.com/ModelEngine-Group/fit-frameworkWrote 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/modelengine-group/fit-framework/test-integration)<a href="https://agentmods.dev/skills/modelengine-group/fit-framework/test-integration"><img src="https://agentmods.dev/badge/skills/modelengine-group/fit-framework/test-integration/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/modelengine-group/fit-framework/test-integration"><img src="https://agentmods.dev/badge/skills/modelengine-group/fit-framework/test-integration.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 | $0.00040 | $0.00413 |
| Opus 5.5 | $0.00016 | $0.00165 |
| Sonnet 5.5 | $0.00008 | $0.00083 |
| Haiku 4.5 | $0.00004 | $0.00041 |
Grade A, and why
test-integration scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
执行集成测试
前置条件
需要先完成 Maven 构建，确保 build/ 目录存在。如果还没有构建，请先使用 test skill 执行完整构建。
执行方式
按以下步骤顺序执行：
步骤 1：验证构建产物
if [ ! -d "build" ]; then
echo "错误: 构建产物不存在，请先执行完整测试流程"
exit 1
fi
步骤 2：加载公共脚本并初始化环境
source .agents/scripts/fit-service.sh
init_log_dir
init_plugin_dir
步骤 3：启动 FIT 服务
start_fit_service
步骤 4：执行所有验证
verify_all
test_result=$?
步骤 5：清理测试环境
cleanup false
exit $test_result
测试内容
- 检查构建产物是否存在
- 启动 FIT 服务（自动等待健康检查，最多 60 秒）
- 验证健康检查接口
/actuator/health - 验证插件列表接口
/actuator/plugins - 验证 Swagger 文档页面
/openapi.html - 停止服务并清理临时文件
注意事项
- 必须先完成构建，确保
build/目录存在 - 确保 8080 端口未被占用
- 预计时间：约 1-2 分钟（不包含构建时间）
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 · 62 lines · 40 tokens per session scan A 4e08c16b0f51
test-integration is a skill published in the GitHub repository ModelEngine-Group/fit-framework (2,117 stars, last pushed 7mo ago), licensed MIT. It adds 40 tokens to every session and 413 once invoked, about $0.0002 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.
Other skills, from other repositories
eval
Testing whether skills produce correct agent behavior. Use after modifying a skill, during periodic review, or when model upgrades may affect skill relevance.
bugfix
Fixing bugs using a test-first disciplined loop. Use when a bug is reported or discovered and needs a verified fix with minimal blast radius.
playwright-cli-helpers
Default verification tool for local HTML files. Use visual-check.sh as the FIRST choice whenever you need to verify, test, or check any local HTML page — whether confirming elements render correctly, checking layout, detecting overflow, or asserting uniform widths. Prefer this over raw playwright-cli commands. Also…
playwright-cli
Automates browser interactions for web testing, form filling, screenshots, and data extraction. Use when the user needs to navigate websites, interact with web pages, fill forms, take screenshots, test web applications, or extract information from web pages.
testing-rules
Use when writing, reviewing, or validating tests — including unit tests, integration tests, BATS tests, and visual verification tasks.
foundry-hosted-agent-validation
Step-by-step process for validating a Python Foundry hosted agent sample (under python/samples/04-hosting/foundry-hosted-agents/) end to end — running it locally (native runtime and azd ai agent run) and after deploying it to an Azure AI Foundry project with azd. Use this when asked to validate a hosted agent sample.