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 management_quality_check_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/management_quality_check_skill)<a href="https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/management_quality_check_skill"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/management_quality_check_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/management_quality_check_skill"><img src="https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/management_quality_check_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 | $0.00057 | $0.01143 |
| Opus 5.5 | $0.00023 | $0.00457 |
| Sonnet 5.5 | $0.00011 | $0.00229 |
| Haiku 4.5 | $0.00006 | $0.00114 |
Grade A, and why
management_quality_check_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.
What it actually says
Management Quality Check 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
本技能用于快速判断一家公司的管理层是否值得信任,以及这种信任应建立在什么边界上。输出重点不是做人物评价,而是从背景、激励、执行、治理和红旗信号几个维度,形成对管理质量的结构化判断。
执行流程
Step 1:明确需要评估的管理层范围
先识别最关键的管理与治理主体,包括:
- 创始人、董事长、CEO、CFO 等关键角色
- 控股股东或实际控制人
- 董事会结构与独立监督安排
若公司治理高度集中,也应把控制结构本身纳入评估对象。
Step 2:回看背景与履历是否支持当前职责
围绕关键管理者,检查:
- 是否具备与当前业务匹配的行业和经营经验
- 核心团队是否稳定
- 历史职业轨迹中是否有显著加分或减分项
- 是否存在频繁更换、高层动荡等不稳定迹象
这一阶段更关注“是否胜任”和“是否稳定”,而非名气大小。
Step 3:评估激励一致性
判断管理层是否与股东利益同向,重点看:
- 持股与增减持行为
- 薪酬与激励结构
- 业绩承诺或考核目标是否合理
- 激励是否鼓励短期粉饰而非长期建设
激励机制决定了管理层更可能追求什么结果。
Step 4:审视执行与资本配置记录
好的管理层不仅会讲,也要会做。重点观察:
- 过去几年的关键经营兑现情况
- 并购、回购、分红、扩产等决策质量
- 面对逆风期时的反应能力
- 对外沟通是否前后一致
若历史承诺多次落空,应显著降低信任等级。
Step 5:检查治理结构与红旗信号
从治理质量角度排查潜在风险,例如:
- 关联交易与利益输送风险
- 财务透明度不足
- 重大事项披露不及时或口径反复
- 控股权结构复杂、监督不足
这一部分的目的不是定罪,而是识别“需要更谨慎”的地方。
Step 6:输出信用判断与跟踪重点
最终给出:
- 是否可以给予管理层较高信用
- 该信用建立在什么前提上
- 接下来最应跟踪哪些管理与治理信号
输出结构
{股票名称}管理层体检({YYYY-MM-DD})
一、结论摘要
- 管理层信用等级:{高 / 中 / 低}
- 最强加分项:{一句话}
- 最大担忧点:{一句话}
二、关键人物与治理结构
| 角色 | 当前情况 | 评估要点 |
|---|---|---|
| {角色1} | {描述} | {说明} |
| {角色2} | {描述} | {说明} |
三、激励与利益一致性
- 持股/激励情况:{说明}
- 与股东是否同向:{说明}
- 潜在扭曲点:{说明}
四、执行与资本配置观察
- {执行表现 1}
- {执行表现 2}
- {资本配置评价}
五、治理风险与红旗信号
- {风险 1}
- {风险 2}
- {风险 3}
六、后续跟踪重点
- 需要继续验证的信号:{信号}
- 一旦出现需降级信用的信号:{信号}
质量要求
- 事实与判断要分开写,避免把印象当证据。
- 不做人格化评价,重点落在胜任力、激励和治理结构。
- 既要看“会不会做事”,也要看“会不会为股东做事”。
- 对红旗信号要明确,但不能用单一传闻直接定性。
- 最终结论要说明信用边界,而不是简单贴“靠谱/不靠谱”标签。
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 · 135 lines · 57 tokens per session scan A d5f2d88e60f1
management_quality_check_skill is a skill published in the GitHub repository chuancyzhang/deepseek-cowork (18 stars, last pushed today), licensed Apache-2.0. It adds 57 tokens to every session and 1,143 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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