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 echoVic/boss-skill --skill strategic-reviewgit clone --depth 1 https://github.com/echoVic/boss-skillWrote 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/echovic/boss-skill/strategic-review)<a href="https://agentmods.dev/skills/echovic/boss-skill/strategic-review"><img src="https://agentmods.dev/badge/skills/echovic/boss-skill/strategic-review/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/echovic/boss-skill/strategic-review"><img src="https://agentmods.dev/badge/skills/echovic/boss-skill/strategic-review.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 | $0.00035 | $0.01355 |
| Opus 5 | $0.00017 | $0.00678 |
| Sonnet 5 | $0.00007 | $0.00271 |
| Haiku 4.5 | $0.00003 | $0.00136 |
Grade A, and why
pm/strategic-review 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 10d 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 — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.
战略评审(Boss Review)
适用场景
当需要从 CEO/战略高度评估一个功能或项目的商业价值时使用。不同于技术评审关注实现质量,战略评审关注做不做和为什么做。
典型场景:
- 新功能立项前的价值论证
- 资源有限时的优先级决策
- 产品方向调整的论证
- 投资人/利益相关者沟通准备
核心方法
第一维度:市场契合度(Market Fit)
评估产品/功能与市场需求的匹配程度:
| 评估项 | 问题 | 评分标准 |
|---|---|---|
| 目标市场 | TAM/SAM/SOM 分别多大? | 清晰可量化 = 高分 |
| 痛点强度 | 用户痛点是止痛药还是维生素? | 必须有 > 最好有 > 可以有 |
| 时机 | 为什么是现在? | 有明确时间窗口 = 高分 |
| 验证程度 | 有多少用户验证? | 付费验证 > 使用验证 > 口头验证 > 假设 |
第二维度:投资回报率(ROI)
量化投入产出比:
| 评估项 | 问题 | 评分标准 |
|---|---|---|
| 开发成本 | 需要多少人天? | 精确估算 = 高分 |
| 运营成本 | 上线后持续投入? | 低维护 = 高分 |
| 收益模型 | 直接/间接收益如何? | 有历史数据支撑 = 高分 |
| 回收周期 | 多久能回本? | <3个月 = 优 / <6个月 = 良 / >12个月 = 需论证 |
| 机会成本 | 不做什么来做这个? | 机会成本可控 = 高分 |
第三维度:竞争优势(Competitive Advantage)
评估护城河和差异化:
| 评估项 | 问题 | 评分标准 |
|---|---|---|
| 技术壁垒 | 竞对复制需要多久? | >6个月 = 强壁垒 |
| 网络效应 | 用户越多越好用吗? | 有强网络效应 = 高分 |
| 数据优势 | 有独占数据资产吗? | 数据不可替代 = 高分 |
| 品牌认知 | 能否建立心智定位? | 有清晰定位 = 高分 |
| 切换成本 | 用户迁移难度? | 高切换成本 = 高分 |
第四维度:风险矩阵(Risk Assessment)
识别和评估风险:
| 风险类型 | 评估要素 | 缓解方案 |
|---|---|---|
| 市场风险 | 需求是否真实、市场是否足够大 | MVP 验证、用户访谈 |
| 技术风险 | 是否有未验证的技术假设 | 技术 spike、原型验证 |
| 执行风险 | 团队是否有能力按时交付 | 分阶段交付、招聘计划 |
| 合规风险 | 是否涉及法规/政策限制 | 法务咨询、合规审查 |
| 依赖风险 | 是否依赖不可控的外部因素 | 备选方案、合同约束 |
第五维度:战略对齐(Strategic Alignment)
评估与公司战略的一致性:
| 评估项 | 问题 | 评分标准 |
|---|---|---|
| 愿景匹配 | 与公司3-5年愿景一致吗? | 强关联 = 高分 |
| 能力杠杆 | 能否复用现有优势? | 高杠杆 = 高分 |
| 协同效应 | 与其他产品线有协同吗? | 1+1>2 = 高分 |
| 资源匹配 | 现有资源能否支撑? | 资源充足 = 高分 |
评审决策框架
综合评分规则
每个维度 1-5 分,加权计算综合分:
- 市场契合度:权重 30%
- ROI:权重 25%
- 竞争优势:权重 20%
- 风险评估:权重 15%(此项为风险可控程度)
- 战略对齐:权重 10%
决策映射
| 综合分 | 决策 | 说明 |
|---|---|---|
| ≥ 4.0 | ✅ 推进 | 全力推进,优先分配资源 |
| 3.0 - 3.9 | ⚠️ 需调整 | 方向正确但需优化具体方案 |
| < 3.0 | ❌ 暂缓 | 暂不投入,需重新论证或等待时机 |
输出要求
使用 strategic-review.md.template 模板输出到 .boss/<feature>/strategic-review.md,包含:
- 执行摘要:商业价值评级(1-5)、推荐决策、关键洞察(1-2句)
- 五维分析详情:每个维度的评分和关键判断依据
- 风险矩阵表:风险项 × 影响程度 × 发生概率 × 缓解方案
- 战略建议:具体的行动建议(推进/调整/暂缓的理由和下一步)
- 关键假设:列出评审中的关键假设,标注验证状态
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.
- 10d ago First seen · 118 lines · 35 tokens per session scan A 6911b4bf85fb
pm/strategic-review is a skill published in the GitHub repository echoVic/boss-skill (555 stars, last pushed 3d ago), licensed MIT. It adds 35 tokens to every session and 1,355 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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