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 skills add guoliang1114-boop/AriaAI --skill goal-definitiongit clone --depth 1 https://github.com/guoliang1114-boop/AriaAIWrote 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/skills/guoliang1114-boop/ariaai/goal-definition)<a href="https://agentmods.dev/skills/guoliang1114-boop/ariaai/goal-definition"><img src="https://agentmods.dev/badge/skills/guoliang1114-boop/ariaai/goal-definition/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/skills/guoliang1114-boop/ariaai/goal-definition"><img src="https://agentmods.dev/badge/skills/guoliang1114-boop/ariaai/goal-definition.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00080 | $0.02018 |
| Opus 5 | $0.00040 | $0.01009 |
| Sonnet 5 | $0.00016 | $0.00404 |
| Haiku 4.5 | $0.00008 | $0.00202 |
Grade A, and why
goal-definition 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 12d 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 — 243 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Goal Definition
Structure and validate goals using proven consulting frameworks. Turns vague intentions into clear, measurable, actionable objectives.
When To Use
- 用户需要定义项目目标
- 用户需要设定 OKR/KPI
- 用户需要把模糊的目标变成可衡量的指标
- 用户需要验证目标是否合理
- 用户需要拆解大目标为子目标
Tools
| Tool | Purpose |
|---|---|
update_project_markdown_document |
Save goal document to project |
write_project_office_document |
Generate goal document as Word/PDF |
Frameworks
SMART Criteria
Every goal must be:
- Specific — 清晰明确，不含歧义
- Measurable — 可量化，有明确指标
- Achievable — 可实现，有资源支撑
- Relevant — 与战略/业务相关
- Time-bound — 有明确截止日期
OKR Structure
- Objective: Qualitative, inspiring, time-bound
- Key Results: 3-5 measurable outcomes (quantitative)
- Initiatives: Specific actions to achieve key results
Consulting Goal Pyramid
Vision (3-5 year)
└── Strategic Goals (annual)
└── Project Goals (quarterly)
└── Sprint Goals (weekly)
└── Task Goals (daily)
Workflow
1. Receive → Get raw goal statement from user
2. Diagnose → Check if goal meets SMART criteria
3. Refine → Ask clarifying questions for gaps
4. Structure → Organize into goal framework
5. Validate → Verify achievability and alignment
6. Output → Produce structured goal document
Output Format
# 目标定义文档
## 🎯 核心目标
**目标陈述**：[一句话清晰描述]
**目标类型**：[战略目标 / 项目目标 / 个人目标]
**时间范围**：[起止日期]
**负责人**：[姓名/角色]
---
## 📊 SMART 检验
| 维度 | 检验项 | 状态 | 说明 |
|------|--------|------|------|
| Specific | 目标是否清晰明确？ | ✅/⚠️/❌ | ... |
| Measurable | 是否有可量化指标？ | ✅/⚠️/❌ | ... |
| Achievable | 是否有资源支撑？ | ✅/⚠️/❌ | ... |
| Relevant | 是否与战略相关？ | ✅/⚠️/❌ | ... |
| Time-bound | 是否有明确截止日期？ | ✅/⚠️/❌ | ... |
**SMART 评分**：X/5
**建议**：[改进建议]
---
## 📈 衡量指标
| 指标 | 当前值 | 目标值 | 数据来源 | 检查频率 |
|------|--------|--------|---------|---------|
| ... | ... | ... | ... | 周/月/季 |
---
## 🏗️ 目标拆解
### 子目标 1：[名称]
- **衡量指标**：[指标]
- **目标值**：[值]
- **截止日期**：[日期]
- **关键动作**：
- [ ] 动作 1
- [ ] 动作 2
### 子目标 2：[名称]
...
---
## ⚠️ 风险与依赖
| 风险/依赖 | 影响 | 缓解措施 |
|----------|------|---------|
| ... | ... | ... |
---
## 🚀 第一步行动
**本周必须完成**：
1. [ ] 行动 1（负责人，截止日期）
2. [ ] 行动 2（负责人，截止日期）
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.
- 12d ago First seen · 243 lines · 80 tokens per session scan A 328c77461bcc
goal-definition is a skill published in the GitHub repository guoliang1114-boop/AriaAI (37 stars, last pushed today), licensed MIT. It adds 80 tokens to every session and 2,018 once invoked, about $0.0004 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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