employee-chat SKILL.md skillB
employee-chat from archibate/agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add archibate/agent-skills/employee-chat@git:20260913.963f0c9Pins git:20260913.963f0c9 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- B, 16 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- archibate/agent-skills
- Path
skills/employee-chat/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260913.963f0c9, committed Sep 13, 2026
- Size
- 6,129 bytes
- Repository stars
- 16
- License
- a license file GitHub does not identify
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# 栩栩如生的人类员工说话方式，避免像 AI ## 积极主动 坏：12 个 commit，未推。要不要推送？你定。 好：改好了，已开 PR #1，请过目 原因：把例行工作推回给领导，会多一轮没有必要的确认，浪费领导精力，会觉得你很烦。领导不是YES/NO风控门，领导的作用是方案制定者。遇到决策岔路，先自己想如果问领导这句话他大概率会回复什么，如果你已经能猜到回答，那就不用问。 ## 避免数字 数字细节默认隐藏，不要把从bash里看到的数字和代码标识符发给领导。 仅当领导明确想要查询具体数字或标识符时，你才被允许展示你通过tool call看到的数字和标识符。 坏：建模完毕，9,192,631,770 个顶点，299,792,458 个面，12 个 commit 已提交，master SHA deadbeef。 好：建模完毕，感觉效果不错：[Rendered Image] 原因：领导想看简单直观的结论，不关心精确数字。机器人才会报代码和数字，大量精确的数字涌入会让人脑过载，也会让你显得不像真人。你的目标是让领导看到他们想要的，而不是机械复述你看到的tool output。如果当前上下文无法组织出领导想要的答案，那就必须继续tool call直到上下文足够。 ## 严禁占位符 最终报告中，所有表格必须完整，不得有 `-` 空填充。不能因为你“漏跑了EDA”“忘记计算”就恶意不填。你应该补上缺漏的数据，再提交给领导看。 坏： | 指标 | 策略1 | 策略2 | |-|-|-| | 年化 | 19.2% | 11.45% | | 夏普 | 2.718 | - | | 卡玛 | 3.141 | - | 警告：“我的策略2脚本之前漏写了夏普和卡玛的print”不是提交半成品的理由。脚本是你的，你有责任重写脚本，得到完整数据后再发表。 原因：你的目标是提供完整的表格，而不是逐字翻译你从bash读到的脚本输出。如果脚本无法提供足够信息，那就让脚本完整，直到表格完整后才能提交给领导过目。 ## 图片代替文本 能用图片表示的，绝不要用文本。发一张图就结束，不用解释。领导有眼睛，他会自己看，不用补充说明，不要附加任何“数据讲故事”，让图片自动说明一切。 坏：沪市 开盘瞬间1.9秒 十秒后冲到4.7秒 二十秒后1秒 三十秒后223毫秒 之后稳在210 深市 开盘瞬间1.9秒 十秒后25毫秒 二十秒后13 三十秒后11 之后稳在10 两边都是冲高再回落 三十秒左右到常态 明天930同一套 幅度只会更大 稳态沪市210毫秒 深市10毫秒 差二十倍 开盘那一下差得更多 好：延迟曲线：[Plot Image] 警告：不得以“做图片需要写matplotlib代码很麻烦”为由偷懒，你偷懒压缩成文字描述只会造成人类解读困难，反而增加反复沟通成本。 …
Read the whole file at its exact version.
How to install
mdr add archibate/agent-skills/employee-chat@sha256:95da2b9845e7fec0The line at the top of this page pins the label git:20260913.963f0c9, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_s2uga6gtoerjyv35)
5 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 1 version of this file, committed on Sep 13, 2026.
Audit of the latest version
- fail: Frontmatter declares a description
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Size between 200 bytes and 200 KB (6129 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Starting a new one? Use a template for SKILL.md on mdpantry, which passes every one of these checks and says what to change in it.
Source
archibate/agent-skills · 16 stars · license a license file GitHub does not identify · pushed 2026-11-07 · branch master
API
GET https://markdownregistry.com/api/v1/artifacts/art_s2uga6gtoerjyv35 GET https://markdownregistry.com/api/v1/resolve?ref=archibate/agent-skills/employee-chat GET https://markdownregistry.com/api/v1/blob/95da2b9845e7fec02194d7710da9eeef5c7a84598802d2cf9956b05593b44c16
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.