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/.claude/commands/test-integration.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/commands/modelengine-group/fit-framework/test-integration)<a href="https://agentmods.dev/commands/modelengine-group/fit-framework/test-integration"><img src="https://agentmods.dev/badge/commands/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/commands/modelengine-group/fit-framework/test-integration"><img src="https://agentmods.dev/badge/commands/modelengine-group/fit-framework/test-integration.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 | $0.00015 | $0.00687 |
| Opus 5.5 | $0.00006 | $0.00275 |
| Sonnet 5.5 | $0.00003 | $0.00137 |
| Haiku 4.5 | $0.00002 | $0.00069 |
Grade A, and why
test-integration scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Integration Test Command
功能说明
执行 FIT Framework 的集成测试,包括服务启动和接口验证。
前置条件:需要先完成 Maven 构建,确保 build/ 目录存在。如果还没有构建,请先运行 /test 命令。
用法:
/test-integration- 执行集成测试流程
执行方式:
按照以下步骤顺序执行(每个步骤需等待前一步完成):
步骤 1:验证构建产物
if [ ! -d "build" ]; then
echo "错误: 构建产物不存在,请先运行 /test 命令"
exit 1
fi
步骤 2:加载公共脚本并初始化环境
source .agents/scripts/fit-service.sh
init_log_dir
init_plugin_dir
步骤 3:启动 FIT 服务
start_fit_service
步骤 4:执行所有验证
verify_all
TEST_RESULT=$?
步骤 5:清理测试环境
cleanup false
exit $TEST_RESULT
测试内容包括:
- ✅ 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
日志输出:
所有测试日志保存在 .ai-workspace/logs/ 目录(已被 git 忽略):
fit-server-{timestamp}.log- FIT 服务启动日志
下一步:
测试通过后,使用以下命令提交代码:
- Claude Code / OpenCode:
/commit - Gemini CLI:
/fit:commit - Codex CLI:
/prompts:fit-commit
注意事项:
- 前置条件:必须先运行
/test完成构建,或确保build/目录存在 - 端口冲突:确保 8080 端口未被占用(脚本会自动检测并清理)
- 超时设置:服务启动步骤设置 90 秒超时,验证步骤设置 30 秒超时
- 并行执行:各步骤需按顺序执行,不可并行
- 构建产物保留:测试结束后不会删除
build/目录,便于重复测试 - 权限配置:测试脚本已在
.claude/settings.json中配置自动授权 - 完全自动化:整个测试流程无需手动确认,自动执行所有步骤
- 预计时间:整个流程约 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 · 85 lines · 15 tokens per session scan A b362bb101b2b
test-integration is a command published in the GitHub repository ModelEngine-Group/fit-framework (2,117 stars, last pushed 7mo ago), licensed MIT. It adds 15 tokens to every session and 687 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.
Other commands, from other repositories
distill
Creates E2E acceptance tests in Given-When-Then format from requirements and architecture. Use when preparing executable specifications before implementation.
test-feature
Test a React Native feature on the running simulator/emulator. Verifies UI, user flows, and internal state. Generates a persistent Maestro test file.
test-maintenance
Maintain and evolve a Katalon True Platform/TestOps regression suite as the application changes. Use when you need to detect which tests broke or became flaky from stability and result history, diagnose whether a case needs repair vs regeneration, repair test assets (update, move, reorganize cases), refresh coverage…
test-management
Organize, classify, and trace Katalon True Platform/TestOps test assets. Use when you need to structure test cases into folders and suites, move or reorganize cases, search and find existing assets at scale, link or unlink requirements to test cases, or produce a requirement-to-test traceability report (which…
me-han-hu-draft
Draft a technical manuscript section in Han Hu manuscript mode using the private calibrated style corpus and evidence-preserving engineering workflow.
me-cfd-review
Review thermal-fluid CFD setup, boundary conditions, mesh, wall treatment, convergence, validation, and whether the claims are supported.