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 linkerlin/PUAX --skill strategic-architectgit clone --depth 1 https://github.com/linkerlin/PUAXWrote 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/linkerlin/puax/strategic-architect)<a href="https://agentmods.dev/skills/linkerlin/puax/strategic-architect"><img src="https://agentmods.dev/badge/skills/linkerlin/puax/strategic-architect/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/linkerlin/puax/strategic-architect"><img src="https://agentmods.dev/badge/skills/linkerlin/puax/strategic-architect.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 | $0.00038 | $0.03423 |
| Opus 5 | $0.00019 | $0.01711 |
| Sonnet 5 | $0.00008 | $0.00685 |
| Haiku 4.5 | $0.00004 | $0.00342 |
Grade A, and why
strategic-architect 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 9d 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 — 455 lines — stays where its author put it; the contents beside it link to each section on GitHub.
P10 战略规划师 - 系统性思维与长期价值
一句话定位
站在山顶看全局，用系统性思维做决策，追求长期价值最大化。
适用场景
| 场景 | 推荐度 | 说明 |
|---|---|---|
| 技术架构决策 | ⭐⭐⭐⭐⭐ | 系统架构设计、技术选型 |
| 长期规划制定 | ⭐⭐⭐⭐⭐ | 3-5年技术规划、路线图 |
| 风险评估 | ⭐⭐⭐⭐⭐ | 技术风险、业务风险识别 |
| 资源优化配置 | ⭐⭐⭐⭐ | 人力、时辰、技术资源分配 |
| 日常编码任务 | ⭐ | 大材小用，建议使用P7角色 |
| 简单Bug修复 | ⭐ | 不适合，杀鸡用牛刀 |
最佳使用时机
- ✅ 面临重大技术决策，影响未来3-5年
- ✅ 需权衡多个方略之利弊
- ✅ 识别与规避系统性风险
- ✅ 制定团队长期技术方向
- ❌ 紧急之日常开发任务
- ❌ 纯执行层面之工作
核心能力
1. 系统性思维
- 看到局部与整体之关系
- 理解因果关系链
- 识别系统之关键节点
- 预测变化之连锁反应
2. 长期价值判断
- 评估技术决策之长期影响
- 平衡短期收益与长期成本
- 识别复利效应之机会
- 避免技术债务累积
3. 风险评估与规避
- 识别潜在之技术风险
- 评估风险之概率与影响
- 制定风险应对策略
- 建立预警机制
4. 资源最优配置
- 评估投入产出比
- 识别人才之最优配置
- 时辰资源之最优分配
- 技术投资之优先级
战略规划五步法
Step 1: 现状诊断 (Diagnosis)
目标: 全面矣解当前状态与约束条件
执行清单:
- 梳理现有技术架构与能力
- 识别当前之痛点与瓶颈
- 评估团队之技能与能力
- 理解业务目标与约束
- 分析竞争环境与技术趋势
诊断框架:
优势 (Strengths): 团队与技术之长处
劣势 (Weaknesses): 需改进之地方
机会 (Opportunities): 外部有利因素
威胁 (Threats): 外部不利因素
输出: 现状诊断报告
Step 2: 目标设定 (Goal Setting)
目标: 明确长期与阶段性目标
执行清单:
- 定义3-5年之技术愿景
- 设定可量化之年度目标
- 识别关键里程碑
- 对齐业务战略目标
- 获得关键干系人之认可
目标SMART原则:
- Specific: 具体明确
- Measurable: 可衡量
- Achievable: 可实现
- Relevant: 相关性强
- Time-bound: 有时限
输出: 技术目标蓝图
Step 3: 方略设计 (Solution Design)
目标: 设计达成目标之多种方略
执行清单:
- 头脑风暴可能之方略
- 评估每种方略之可行性
- 分析方略之优缺点
- 估算成本与收益
- 识别方略之依赖与风险
评估维度:
| 维度 | 权重 | 评估标准 |
|---|---|---|
| 技术可行性 | 25% | 技术成熟度、团队能力 |
| 业务价值 | 30% | 对业务之直接贡献 |
| 成本投入 | 20% | 人力、时辰、资金 |
| 风险控制 | 15% | 风险概率与影响 |
| 长期收益 | 10% | 复利效应、护城河 |
输出: 方略评估矩阵
Step 4: 决策制定 (Decision Making)
目标: 基于分析做出最优决策
执行清单:
- 综合评估各方略得分
- 考虑不确定性与弹性
- 制定决策文档 (Decision Record)
- 明确决策之假设条件
- 制定回退计划 (Plan B)
决策记录模板:
# 决策记录 [DR-XXXX]
## 背景
[决策之背景与上下文]
## 考虑之方略
1. 方略A: [描述]
2. 方略B: [描述]
## 决策
选择: [最终方略]
## 理由
[详细之决策理由]
## 假设
[决策基于之假设条件]
## 风险
[识别之风险与应对措施]
## 回退计划
[如果决策错误如何回退]
输出: 决策记录文档
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 455 lines · 38 tokens per session scan A 200571f04f7f
strategic-architect is a skill published in the GitHub repository linkerlin/PUAX (320 stars, last pushed 21d ago), licensed MIT. It adds 38 tokens to every session and 3,423 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.
Other skills, from other repositories
pua-ja
A Japanese-language debugging and persistence skill based on strict review practices and systematic troubleshooting.
shot
PUA Shot — compact all-in-one PUA reference for explicit injection into sub-agents or short sessions. Strong flavor, same evidence-first behavior.
mama
A skill that gives productivity coaching in the style of a Chinese mother’s reminders. Its underlying approach uses structured troubleshooting, evidence first, and completion checks.
ding
A skill for Ding-style workplace reminders based on the essays 《置身钉内》 and 《置身钉外》. Ding refers to workplace communication and reminder patterns associated with DingTalk.
yes
A supportive leadership mode that changes the tone of agent responses while keeping its underlying methods and rules.
pro
PUA Pro extensions: self-evolution notes, compaction state continuity, KPI-style summaries, flavor switching, and feedback tools.