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/.codex/commands/fit-analyze-issue.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/fit-analyze-issue)<a href="https://agentmods.dev/commands/modelengine-group/fit-framework/fit-analyze-issue"><img src="https://agentmods.dev/badge/commands/modelengine-group/fit-framework/fit-analyze-issue/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/fit-analyze-issue"><img src="https://agentmods.dev/badge/commands/modelengine-group/fit-framework/fit-analyze-issue.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 | $0.00011 | $0.00578 |
| Opus 5.5 | $0.00004 | $0.00231 |
| Sonnet 5.5 | $0.00002 | $0.00116 |
| Haiku 4.5 | $0.00001 | $0.00058 |
Grade A, and why
fit-analyze-issue 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
分析 GitHub Issue #$1 并创建任务文件。
执行以下步骤:
-
获取 Issue 信息:
gh issue view $1 --json number,title,body,labels如果 Issue 不存在,提示用户检查 Issue 编号。
-
生成任务ID:
date +%Y%m%d-%H%M%S -
创建任务目录:
mkdir -p .ai-workspace/active/TASK-<timestamp>/使用 Write 工具基于 .agents/templates/task.md 模板创建 task.md 文件:
- 填写任务元数据: issue_number=$1, title, created_at, workflow 等
- created_by: human
- current_step: requirement-analysis
- assigned_to: codex
-
执行需求分析(仅分析,不编写任何业务代码):
- 阅读并理解 Issue 描述
- 搜索相关代码文件(使用 glob/grep,只读不改)
- 分析代码结构和影响范围
- 识别潜在的技术风险和依赖
- 评估工作量和复杂度
-
输出分析文档到 analysis.md,包含:
- 需求理解(重新描述需求)
- 相关文件列表(带文件路径和行号)
- 影响范围评估(直接影响和间接影响)
- 技术风险
- 依赖关系
- 工作量和复杂度评估
-
更新任务状态:
- current_step: requirement-analysis
- updated_at: 当前时间
- 标记 analysis.md 为已完成
- 在"工作流进度"中标记 requirement-analysis 为完成 ✅
-
告知用户:
- 输出任务ID、标题、工作流
- 显示输出文件路径
- 提示下一步设计技术方案:
- Claude Code / OpenCode: /plan-task
- Gemini CLI: /fit:plan-task
- Codex CLI: /prompts:fit-plan-task
注意事项:
- 严格遵循 .agents/workflows/feature-development.yaml 工作流定义
- 🔴 禁止编写、修改任何业务代码,只做分析
- 分析完成后建议人工审查
- 如果已存在相关任务,询问是否重新分析
🛑 STOP: 完成上述步骤后立即停止。不要继续执行 plan、implement 或任何后续步骤。
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 · 67 lines · 11 tokens per session scan A ac72df66de5b
fit-analyze-issue is a command published in the GitHub repository ModelEngine-Group/fit-framework (2,117 stars, last pushed 7mo ago), licensed MIT. It adds 11 tokens to every session and 578 once invoked, about $0.0000 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
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-han-hu-revise
Revise an existing technical manuscript in Han Hu manuscript mode while preserving scientific evidence, figures, values, citations, and claim boundaries.
me-cfd-review
Review thermal-fluid CFD setup, boundary conditions, mesh, wall treatment, convergence, validation, and whether the claims are supported.
me-code-sanity
Run a fast preflight on thermal-fluid research code for units, baselines, leakage, physics checks, and result traceability.
me-correlation-check
Check thermal-fluid equations, empirical correlations, and dimensionless groups for validity range, assumptions, units, and claim strength.
me-experiment-plan
Plan thermal-fluid experiments with instrumentation, calibration, uncertainty, repeatability, heat-loss correction, operating envelope, and safety checks.