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-complete-task.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-complete-task)<a href="https://agentmods.dev/commands/modelengine-group/fit-framework/fit-complete-task"><img src="https://agentmods.dev/badge/commands/modelengine-group/fit-framework/fit-complete-task/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-complete-task"><img src="https://agentmods.dev/badge/commands/modelengine-group/fit-framework/fit-complete-task.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 | $0.00572 |
| Opus 5.5 | $0.00004 | $0.00229 |
| Sonnet 5.5 | $0.00002 | $0.00114 |
| Haiku 4.5 | $0.00001 | $0.00057 |
Grade A, and why
fit-complete-task 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
标记任务 $1 为已完成状态,更新任务元数据,并归档到 completed 目录。
前置条件检查: 在执行前,确认以下条件全部满足:
- 所有工作流步骤已完成
- 代码已审查通过(review.md 显示批准)
- 代码已提交到 Git
- 所有测试通过 如果以上条件未全部满足,请勿执行此命令。
执行以下步骤:
-
验证任务存在:
test -f .ai-workspace/active/$1/task.md && echo "✅ 任务存在" || echo "❌ ERROR: 任务不存在" -
读取并验证任务状态:
- 检查所有步骤是否标记为完成 ✅
- 检查文件完整性: analysis.md, plan.md, implementation.md, review.md 都存在
-
获取当前时间:
date '+%Y-%m-%d %H:%M:%S' -
更新任务状态: 使用 Edit 工具更新 task.md:
- status: completed
- current_step: finalize
- updated_at: 当前时间
- completed_at: 当前时间
-
在 task.md 末尾添加完成总结(交付成果、完成标准等)
-
归档任务:
mkdir -p .ai-workspace/completed && mv .ai-workspace/active/$1 .ai-workspace/completed/ -
验证移动成功:
test ! -d .ai-workspace/active/$1 && echo "✅ 已移除 active" || echo "❌ active 仍存在" test -d .ai-workspace/completed/$1 && echo "✅ 已归档到 completed" || echo "❌ 归档失败" -
告知用户:
🎉 任务 $1 已完成并归档 归档位置: .ai-workspace/completed/$1/- 提示下一步:
- 如果还有其他待处理任务:
- Claude Code / OpenCode: /check-task {task-id}
- Gemini CLI: /fit:check-task {task-id}
- Codex CLI: /prompts:fit-check-task {task-id}
- 如果还有其他待处理任务:
- 提示下一步:
注意事项:
- 只有在真正完成所有工作后才归档
- 归档前确认所有文档都已创建
- 不要过早归档未完成的任务
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 9e98005a6e5b
fit-complete-task 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 572 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.
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me-han-hu-revise
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me-cfd-review
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me-code-sanity
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me-correlation-check
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me-experiment-plan
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