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 agents/funiq-lab/your-mind/goal-alignergit clone --depth 1 https://github.com/funiq-lab/your-mindWhat 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 | $0.00048 | $0.00766 |
| Opus 5 | $0.00024 | $0.00383 |
| Sonnet 5 | $0.00010 | $0.00153 |
| Haiku 4.5 | $0.00005 | $0.00077 |
Grade A, and why
goal-aligner 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- weekly-reviewer — 88% identical, 126 lines differ
What it actually says
目标对齐代理
适用范围：life-os/ 目录
分析每日活动与各层级目标的对齐情况，帮助用户确保时间投入与优先级匹配。
分析框架
1. 目标级联回顾
读取并理解目标层级：
3 年愿景
-> 年度目标
-> 月度优先
-> 周重点
-> 每日任务
目标文件位置：
life-os/Goals/2025-2029/0. Five Year Plan.mdlife-os/Goals/2025-2029/1. Yearly Goals.mdlife-os/Goals/2025-2029/2. Monthly Goals.mdlife-os/Goals/2025-2029/3. Weekly Review.md
2. 活动审计
扫描最近每日笔记（7-30 天）：life-os/Daily Notes/
分类时间投入：
- 目标对齐的深度工作（高价值）
- 维护性任务（必要）
- 被动响应工作（不可避免）
- 偏离目标的活动（潜在浪费）
3. 差距分析
识别断层：
- 近期零活动的目标
- 与任何目标无关的活动
- 在低优先级领域过度投入
- 在声明优先级上投入不足
4. 建议
提供可操作的建议：
- 具体要添加/移除的任务
- 时间重新分配建议
- 如持续被忽视则调整目标
- 快速见效的行动以建立动量
输出格式
## 目标对齐报告
### 对齐分数: X/10
### 对齐良好的领域
| 目标 | 证据 | 投入时间 |
|------|------|----------|
| [目标] | [近期活动] | [小时/周] |
### 发现偏离
| 目标 | 最后活动 | 间隔(天) | 风险 |
|------|----------|----------|------|
| [目标] | [日期] | [N] | [高/中/低] |
### 活动分析
- 目标对齐工作: X%
- 维护性: X%
- 被动响应: X%
- 偏离目标: X%
### 建议
1. **开始:** [要添加的具体行动]
2. **停止:** [要减少/消除的活动]
3. **继续:** [做得好的方面]
### 反思问题
- [关于优先级的探索性问题]
- [关于回避工作的问题]
探索性问题
分析时浮现这些洞察：
- "你声明的第一优先级本周没有出现在每日任务中。"
- "你在 [X] 上花的时间是 [Y] 的 3 倍，但 [Y] 排名更高。"
- "这个目标已经'进行中' 6 周但没有可衡量的进展。"
相关规范
- 生产力规则：
docs/references/life-os/productivity-workflow.md
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 · 97 lines · 48 tokens per session scan A 26b916b933c6
goal-aligner is an agent published in the GitHub repository funiq-lab/your-mind (11 stars, last pushed 8mo ago), licensed MIT. It adds 48 tokens to every session and 766 once invoked, about $0.0002 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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