Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add commands/modelengine-group/fit-framework/sync-issuegit clone --depth 1 https://github.com/ModelEngine-Group/fit-frameworkWhat 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 | $0.00015 | $0.02105 |
| Opus 5 | $0.00008 | $0.01052 |
| Sonnet 5 | $0.00003 | $0.00421 |
| Haiku 4.5 | $0.00002 | $0.00211 |
Grade A, and why
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 2d 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.
How it starts
The opening of the file, as written. The whole thing — 279 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sync Issue Command
功能说明
将任务的处理进度摘要同步到对应的 GitHub Issue 评论板中,确保 Issue 中的信息有逻辑、完整且易于追踪。
执行流程
1. 验证任务存在
按以下优先级搜索任务:
- 查找
.ai-workspace/active/{task-id}/task.md(优先) - 如果不存在,查找
.ai-workspace/blocked/{task-id}/task.md - 如果不存在,查找
.ai-workspace/completed/{task-id}/task.md - 如果都不存在,提示用户任务不存在
找到后记录任务状态(status)和任务目录路径。
注意:{task-id} 格式为 TASK-{yyyyMMdd-HHmmss},例如 TASK-20260205-202013
2. 读取任务信息
从任务文件中获取:
- Issue 号码(
issue_number字段) - 任务标题和描述
- 当前步骤(
current_step) - 任务状态(
status) - 创建和更新时间
3. 读取上下文文件
检查并读取以下文件(如果存在):
.ai-workspace/{status}/{task-id}/analysis.md- 需求分析.ai-workspace/{status}/{task-id}/plan.md- 技术方案.ai-workspace/{status}/{task-id}/implementation.md- 实现报告.ai-workspace/{status}/{task-id}/review.md- 审查报告
4. 生成进度摘要
根据当前状态生成清晰的进度摘要:
基本格式:
## 🤖 任务进度更新
**任务ID**: {task-id}
**更新时间**: {当前时间}
**当前状态**: {状态描述}
### ✅ 已完成
- [x] 需求分析 - {完成时间}
- {核心要点摘要 1-2 条}
- [x] 技术方案设计 - {完成时间}
- {方案选择和关键决策 1-2 条}
- [ ] 代码实现(进行中)
- [ ] 代码审查
- [ ] 最终提交
### 📋 当前进展
{当前步骤的详细说明}
### 🎯 下一步
{下一步计划}
### 📂 相关文件
- 任务文件: `.ai-workspace/{status}/{task-id}/task.md`
- 需求分析: `.ai-workspace/{status}/{task-id}/analysis.md`
- 技术方案: `.ai-workspace/{status}/{task-id}/plan.md`
---
*由 Claude Code 自动生成 - [任务管理系统](../.agents/README.md)*
摘要原则:
- 简洁:每个阶段只提取核心要点,避免冗长
- 逻辑清晰:按时间顺序展示进展
- 突出关键决策:技术方案选择、重要发现等
- 面向人类阅读:避免技术细节,使用易懂的语言
5. 同步到 Issue
使用 gh 命令将摘要发布到 Issue:
gh issue comment {issue-number} --body "$(cat <<'EOF'
{生成的进度摘要}
EOF
)"
6. 更新任务状态
在任务文件中记录同步时间:
- 添加或更新
last_synced_at字段 - 记录同步的 Issue 评论链接(如果 gh 返回)
7. 告知用户
输出格式:
✅ 任务进度已同步到 Issue #{issue-number}
**同步内容**:
- 已完成步骤: {数量}
- 当前状态: {状态}
- 下一步: {下一步说明}
**查看链接**:
https://github.com/{owner}/{repo}/issues/{issue-number}
参数说明
<task-id>: 任务ID,格式为 TASK-{yyyyMMdd-HHmmss}(必需)
使用示例
# 同步任务进度到对应的 Issue
/sync-issue TASK-20251227-104654
# 也可以简写
/sync-issue TASK-20251227-104654
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.
- 2d ago First seen · 279 lines · 15 tokens per session scan A d734f2e2b5de
sync-issue is a command published in the GitHub repository ModelEngine-Group/fit-framework (2,117 stars, last pushed 5mo ago), licensed MIT. It adds 15 tokens to every session and 2,105 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 2026-08-30.
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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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me-lit-matrix
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