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-refine-title.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-refine-title)<a href="https://agentmods.dev/commands/modelengine-group/fit-framework/fit-refine-title"><img src="https://agentmods.dev/badge/commands/modelengine-group/fit-framework/fit-refine-title.svg" alt="Measured on agentmods" 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 | $0.00017 | $0.00418 |
| Opus 5 | $0.00009 | $0.00209 |
| Sonnet 5 | $0.00003 | $0.00084 |
| Haiku 4.5 | $0.00002 | $0.00042 |
Grade A, and why
fit-refine-title 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.
What it actually says
针对 GitHub Issue 或 PR #$1,读取其详细描述、标签和代码变更,深度理解其意图,然后生成符合 type(scope): subject 规范的新标题并执行修改。
执行以下步骤:
-
识别对象与获取信息: 先尝试获取 Issue:
gh issue view $1 --json number,title,body,labels,state如果失败,尝试获取 PR:
gh pr view $1 --json number,title,body,labels,state,files -
智能分析: 2.1 确定 Type: 阅读 body、检查 labels(bug→fix, feature→feat)、分析 files 2.2 确定 Scope: 分析涉及的模块(fit/waterflow/fel) 2.3 生成 Subject: 从 body 中提炼核心意图(忽略原标题),20字以内中文
-
生成建议与交互:
🔍 分析对象: Issue/PR #$1 当前标题: <原标题> 🧠 分析依据: <推断类型和范围的依据> ✨ 建议标题: <type>(<scope>): <subject>询问用户: "是否确认修改?(y/n)"
-
执行修改: Issue:
gh issue edit $1 --title "<new-title>"PR:gh pr edit $1 --title "<new-title>" -
告知用户:
✅ 标题已更新 原标题: <old> 新标题: <new>
注意事项:
- 必须先分析内容,不要直接使用原标题
- 确保用户确认后再执行修改
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 · 48 lines · 17 tokens per session scan A f1975753af84
fit-refine-title is a command published in the GitHub repository ModelEngine-Group/fit-framework (2,115 stars, last pushed 5mo ago), licensed MIT. It adds 17 tokens to every session and 418 once invoked, about $0.0001 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 2026-09-03.
Other commands, from other repositories
check-pr
Check the current branch's PR for external review feedback, fix errors and warnings, run a final external review, and push.
rebase
Guided rebase workflow. Stashes uncommitted changes, fetches latest from origin, rebases onto the remote branch (or a specified branch), resolves conflicts if possible, and pops the stash on success.
revert
Git-aware undo by logical work unit (track, phase, or task).
gate
Run lint+format+type-check+test in parallel (pre-commit quality gate).
repo-architect
Repository structure optimization and multi-repo management with ruv-swarm coordination for scalable project architecture and development workflows.
validate-pr-description
Use when validating a PR title and description for conventional commit format, issue linking keywords, and template compliance before submission.