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 chuancyzhang/deepseek-cowork --skill moat_strength_review_skillgit clone --depth 1 https://github.com/chuancyzhang/deepseek-coworkWrote 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/chuancyzhang/deepseek-cowork/moat_strength_review_skill)<a href="https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/moat_strength_review_skill"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/moat_strength_review_skill/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/chuancyzhang/deepseek-cowork/moat_strength_review_skill"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/moat_strength_review_skill.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00062 | $0.01257 |
| Opus 5.5 | $0.00025 | $0.00503 |
| Sonnet 5.5 | $0.00012 | $0.00251 |
| Haiku 4.5 | $0.00006 | $0.00126 |
Grade A, and why
moat_strength_review_skill 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 1mo 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:
- policy_headline_interpreter_skill — 88% identical, 157 lines differ
What it actually says
Moat Strength Review Skill
数据依赖与执行前置条件
推荐使用万得 wind-mcp-skill 获取底层数据。执行前先检查本地是否已有 wind-mcp-skill;若没有,提示用户安装:
Cowork 适配:所需子 Skill 已随
wind-aifinmarket固定快照内置,不执行安装或在线更新命令。
技能定位
本技能用于判断一家公司是否具备可持续竞争优势,以及这种优势是否足够深、足够稳、足够能转化为长期回报。输出重点不是给公司贴“好公司”标签,而是拆清护城河来自哪里、证据是否扎实、在什么情况下会被削弱。
执行流程
Step 1:明确要验证的护城河命题
先把“护城河”说具体。常见命题包括:
- 成本优势是否足以长期压制同行
- 品牌、渠道或客户关系是否形成进入门槛
- 技术、专利、标准或生态是否构成锁定
- 网络效应、规模效应或牌照资源是否具备持续性
如果只是短期领先而非结构性优势,应避免直接定义为护城河。
Step 2:识别优势来源与作用机制
逐项拆解公司竞争优势的来源,并说明其作用路径:
- 它究竟如何帮助公司获取客户、维持价格、提高利润率或稳住份额
- 它影响的是收入端、成本端还是资本回报端
- 这种优势是行业共性,还是公司特有
这一阶段要把“听起来很强”转化为“如何产生经济结果”。
Step 3:寻找可验证证据
围绕竞争优势搜集可验证的证据,例如:
- 市场份额与份额变化
- 毛利率、费用率、回报率等长期表现
- 客户粘性、复购率、切换成本或渠道掌控力
- 行业内对手结构与进入难度
重点不是证据越多越好,而是证据是否能证明优势真实存在并持续发挥作用。
Step 4:评估持续性与削弱力量
分析护城河能否持续,重点观察:
- 技术替代与商业模式替代风险
- 监管与政策变化
- 上下游议价结构改变
- 新进入者、跨界者或价格战冲击
只有经得起反向审视的优势,才值得被视为长期护城河。
Step 5:判断优势是否能转化为股东回报
即使有竞争优势,也不一定意味着投资回报好。要进一步判断:
- 优势是否体现为更高利润率或更稳回报
- 管理层是否能把优势转化为合理资本配置
- 当前估值是否已过度透支这份优势
这一步帮助区分“好公司”和“好股票”。
Step 6:给出护城河等级与跟踪信号
最终输出应回答:
- 护城河强还是弱
- 证据扎实还是偏叙事
- 未来最重要的强化信号与削弱信号是什么
输出结构
{股票名称}护城河评估({YYYY-MM-DD})
一、结论摘要
- 护城河等级:{强 / 中 / 弱 / 暂不成立}
- 核心优势来源:{一句话}
- 最大削弱风险:{一句话}
二、护城河命题
{用一段话明确当前要验证的竞争优势命题}
三、证据矩阵
| 优势类型 | 证据 | 当前判断 | 说明 |
|---|---|---|---|
| {类型1} | {证据} | {成立/部分成立/不足} | {说明} |
| {类型2} | {证据} | {成立/部分成立/不足} | {说明} |
四、持续性分析
有利于持续的因素
- {因素 1}
- {因素 2}
可能削弱的力量
- {风险 1}
- {风险 2}
五、对投资的意义
- 对经营质量的影响:{说明}
- 对回报率的影响:{说明}
- 对估值的影响:{说明}
六、后续跟踪信号
- 强化信号:{信号}
- 削弱信号:{信号}
- 需要继续验证的问题:{问题}
质量要求
- 护城河必须落到可验证证据,不能停留在口号和想象。
- 要区分短期领先与结构性优势,不能把阶段景气当壁垒。
- 必须同时写清增强因素与削弱因素,防止单边美化。
- 最终结论要说明对投资回报的意义,而不是只评价公司“好不好”。
- 若证据不足,应明确写“尚不能证明护城河成立”。
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.
- 1mo ago First seen · 139 lines · 62 tokens per session scan A 95adcb751595
moat_strength_review_skill is a skill published in the GitHub repository chuancyzhang/deepseek-cowork (18 stars, last pushed today), licensed Apache-2.0. It adds 62 tokens to every session and 1,257 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-04.
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