management_quality_check_skill

management_quality_check_skill is a skill for Claude Code, Codex from chuancyzhang/deepseek-cowork. It costs 57 tokens per session (1,143 once invoked), scanned A, original, Apache-2.0.

A review of company leaders’ backgrounds, incentives, use of capital, governance, and possible warning signs.

In plain words
What is it for?
Use it in company research, long-term stock selection, and early risk checks before deeper analysis.
Why use it?
It helps assess whether management has earned investors’ trust and whether hidden governance risks may exist.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it in company research, long-term stock selection, and early risk checks before deeper analysis.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/chuancyzhang/deepseek-cowork/management_quality_check_skill
Install

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.

Any agent
npx skills add chuancyzhang/deepseek-cowork --skill management_quality_check_skill
Clone the repo
git clone --depth 1 https://github.com/chuancyzhang/deepseek-cowork

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for management_quality_check_skill

README.md
[![agentmods](https://agentmods.dev/badge/skills/chuancyzhang/deepseek-cowork/management_quality_check_skill/github.svg)](https://agentmods.dev/skills/chuancyzhang/deepseek-cowork/management_quality_check_skill)
Your own site
<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.

agentmods 80×15 button for management_quality_check_skill

Your own site · 80×15
<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>
Per session 57 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,143 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce 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

Measured 1mo ago against content hash d5f2d88e60f1, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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.

ai_skills/wind-aifinmarket/skills/management_quality_check_skill/SKILL.md · 135 lines

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

  1. 事实与判断要分开写,避免把印象当证据。
  2. 不做人格化评价,重点落在胜任力、激励和治理结构。
  3. 既要看“会不会做事”,也要看“会不会为股东做事”。
  4. 对红旗信号要明确,但不能用单一传闻直接定性。
  5. 最终结论要说明信用边界,而不是简单贴“靠谱/不靠谱”标签。
Changes

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.

  1. 1mo ago First seen · 135 lines · 57 tokens per session scan A d5f2d88e60f1

Subscribe to this mod's changes

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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