fit-framework: Skill for Claude Code

.agents/skills/refine-title/SKILL.md

refine-title is a skill for Claude Code, Codex from ModelEngine-Group/fit-framework. It costs 52 tokens per session (318 once invoked), scanned A, original, MIT.

A guide for rewriting GitHub Issue or Pull Request titles in Conventional Commits format, such as type(scope): subject. It uses the issue or PR details and code changes to infer the title.

In plain words
What is it for?
It helps analyze an issue or PR, suggest a new title, ask for confirmation, and then rename it with GitHub's command-line tools.
Why use it?
It removes the guesswork from choosing a consistent title that clearly describes the change.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: installed under .agents/ (shared by several agents).

This is ModelEngine-Group/fit-framework's own configuration. It tells Claude Code and Codex how to work on fit-framework itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything fit-framework configures →

About the project

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.

ModelEngine-Group/fit-framework · 2,117 stars · on GitHub · modelengine-ai.net

Reuse

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.

Copy the file
curl -O https://raw.githubusercontent.com/ModelEngine-Group/fit-framework/main/.agents/skills/refine-title/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/ModelEngine-Group/fit-framework

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for refine-title

README.md
[![agentmods](https://agentmods.dev/badge/skills/modelengine-group/fit-framework/refine-title/github.svg)](https://agentmods.dev/skills/modelengine-group/fit-framework/refine-title)
Your own site
<a href="https://agentmods.dev/skills/modelengine-group/fit-framework/refine-title"><img src="https://agentmods.dev/badge/skills/modelengine-group/fit-framework/refine-title/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.

agentmods 80×15 button for refine-title

Your own site · 80×15
<a href="https://agentmods.dev/skills/modelengine-group/fit-framework/refine-title"><img src="https://agentmods.dev/badge/skills/modelengine-group/fit-framework/refine-title.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 52 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 318 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00052 $0.00318
Opus 5.5 $0.00021 $0.00127
Sonnet 5.5 $0.00010 $0.00064
Haiku 4.5 $0.00005 $0.00032

Measured 2mo ago against content hash c1dfee8d7504, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

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 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.

.agents/skills/refine-title/SKILL.md · 34 lines

What it actually says

重构标题

针对 GitHub Issue 或 PR,读取其详细描述、标签和代码变更,深度理解其意图,生成符合 type(scope): subject 规范的新标题。

执行步骤

  1. 识别对象与获取信息: 先尝试 Issue,失败则尝试 PR:

    gh issue view <id> --json number,title,body,labels,state
    gh pr view <id> --json number,title,body,labels,state,files
    
  2. 智能分析:

    • 确定 Type: 阅读 body、检查 labels、分析 files
    • 确定 Scope: 分析涉及的模块(fit/waterflow/fel)
    • 生成 Subject: 从 body 中提炼核心意图,20字以内中文
  3. 生成建议与交互,询问用户确认。

  4. 执行修改:

    gh issue edit <id> --title "<new-title>"
    # 或
    gh pr edit <id> --title "<new-title>"
    

注意: 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。

Changes

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.

  1. 2mo ago First seen · 34 lines · 52 tokens per session scan A c1dfee8d7504

Subscribe to this mod's changes

refine-title is a skill published in the GitHub repository ModelEngine-Group/fit-framework (2,117 stars, last pushed 7mo ago), licensed MIT. It adds 52 tokens to every session and 318 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.

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