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-sync-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-sync-issue)<a href="https://agentmods.dev/commands/modelengine-group/fit-framework/fit-sync-issue"><img src="https://agentmods.dev/badge/commands/modelengine-group/fit-framework/fit-sync-issue.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 | $0.00011 | $0.00415 |
| Opus 5 | $0.00005 | $0.00208 |
| Sonnet 5 | $0.00002 | $0.00083 |
| Haiku 4.5 | $0.00001 | $0.00042 |
Grade A, and why
fit-sync-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 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
将任务 $1 的处理进度摘要同步到对应的 GitHub Issue 评论。
执行以下步骤:
-
查找任务文件: 按以下优先级搜索:
- .ai-workspace/active/$1/task.md(优先)
- .ai-workspace/blocked/$1/task.md
- .ai-workspace/completed/$1/task.md 如果都不存在,提示用户任务不存在。
-
读取任务信息: 从 task.md 中获取 issue_number(如果没有,提示用户手动指定)、标题、current_step、status 等。
-
读取上下文文件(如果存在):
- analysis.md、plan.md、implementation.md、review.md 从中提取关键进展和决策。
-
生成进度摘要: 按以下格式生成 Markdown 摘要:
## 🤖 任务进度更新 **任务ID**: $1 **更新时间**: <当前时间> **当前状态**: <状态描述> ### ✅ 已完成 - [x] <已完成步骤及核心要点> ### 📋 当前进展 <当前步骤详细说明> ### 🎯 下一步 <下一步计划> --- *由 Codex 自动生成* -
同步到 Issue:
gh issue comment <issue-number> --body "<摘要内容>" -
告知用户:
- 显示同步的 Issue 链接
- 输出同步的核心内容摘要
注意事项:
- 摘要要简洁,每阶段只提取核心要点
- 面向人类阅读,避免过多技术细节
- 避免频繁同步,建议在完成一个完整阶段后同步
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 · 59 lines · 11 tokens per session scan A 27b931c324d7
fit-sync-issue is a command published in the GitHub repository ModelEngine-Group/fit-framework (2,115 stars, last pushed 5mo ago), licensed MIT. It adds 11 tokens to every session and 415 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
backlog-status
Display a live backlog status dashboard — active tasks table with PR state and branch-to-test. Optional flag: --qa also generates a QA test guide for all Ready-for-Review tasks.
status
Display project status, active tracks, and next actions.
portfolio
Show a read-only hub-wide portfolio of canonical Ideas and active Projects without duplicating topic-owned records.
tracker-sync
Project a flow spec to a tracker (Linear/GitHub/GitLab/Jira) and reconcile body/status/comments two-way — projection, not coordination. NOT plan-sync (/flow-next:sync).
dashboard-session-fork
Fork a session into a new one. Usage /dashboard:session-fork.
dashboard-session-hide
Hide a session from the dashboard list. Usage /dashboard:session-hide.