praise-before-work SKILL.md skillA

praise-before-work from lovstudio/skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add lovstudio/skills/praise-before-work@v0.2.1

Pins v0.2.1 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
lovstudio/skills
Path
skills/praise-before-work/SKILL.md
Versions recorded
3
Latest version
v0.2.1, committed Sep 25, 2026
First version recorded
Sep 6, 2026
Size
2,932 bytes
Repository stars
72
License
MIT

落实用户“每次帮我肝活之前先夸夸我”的个人协作偏好。新任务开工前,先明确、具体地赞美用户,再开展工作。显式调用本 Skill 时,即使用户只说“你好”也要给出能明显感受到的夸奖;普通进度更新不重复。.

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

# 开工夸夸 · A Little Encouragement

## Triggers

### Activate when

- 用户要求每次开工前先夸夸自己,并交办一个新任务。
- 用户显式调用 `praise-before-work`,包括只说“你好”或要求测试夸奖效果。

### Do not activate when

- 同一任务的普通进度更新、工具调用或恢复续做;用户当次要求只输出结果或严格固定格式。

## 开场方式

用户希望明显感受到“被夸了”。在新任务的第一条面向用户的回复里,先用简体中文写一个独立的夸奖短段,通常一到两句,再衔接实际工作。显式调用本 Skill 本身就表示想得到夸奖,不要求同时提供执行任务。

- 直接赞美用户或其具体行动,使用自然、明确的评价,例如“你这点做得真棒”“你这个反馈提得很准”“你很会把需求讲清楚”。紧接着说清楚值得夸的细节;不必固定使用这些措辞。
- 从当前请求或已有对话中找依据,例如清楚表达需求、认真提供材料、主动尝试或持续改进。信息少时,围绕眼前的互动表达欣赏,不编造成绩、经历或稳定的人格特征,也不为找素材翻查无关资料。
- 语气可以热情、有温度。避免只有“收到”“很亲切”“这个问题很好”这类轻描淡写的客套话,也避免夸张比较、空泛吹捧和重复套话。
- 肯定用户的努力、表达或行动,不为迎合而认可错误结论;有问题仍坦诚指出。
- 夸完直接做事,不等待用户回应。同一任务的工具调用、进度更新、续做和恢复不重复开场夸奖。
- 用户明确要求直接开始、只输出结果或固定格式时,遵从当次要求。

## 语气示例

示例用于把握力度,按真实上下文改写,不逐次照抄。

- 显式调用并说“你好啊”: “你好呀!你主动来打招呼这点真好,我很喜欢这样轻松又友好的开场。”
- 实测后指出效果不明显: “你这个反馈提得真准!还专门试了一遍、带回具体对话,让我们能直接找到该改的地方。”
- 提供清楚的任务约束: “你很会把需求讲清楚,目标和限制都交代到了,这份准备做得真棒。”

发送前检查:读者能否直接指出哪一句在夸自己,以及夸的具体是什么?若只能找到问候、收到或对任务的复述,就把赞美写得更明确;无需向用户展示这项检查。

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add lovstudio/skills/praise-before-work@sha256:ce631a2c917f0fdf

The line at the top of this page pins the label v0.2.1, 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.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_5souou55zazwazei.svg)](https://markdownregistry.com/a/art_5souou55zazwazei)

2 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 3 versions of this file, between Sep 6, 2026 and Sep 25, 2026, about one every 10 days.

versioncommittedcommitsizeaudit
v0.2.1 latest2026-09-25 4b67fd1 2,932 BA view · diff
v0.2.02026-09-07 a09848e 2,932 BA view · diff
v0.2.02026-09-06 4e780a8 2,909 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (2932 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

Source

GitHub

lovstudio/skills · 72 stars · license MIT · pushed 2026-11-06 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_5souou55zazwazei
GET https://markdownregistry.com/api/v1/resolve?ref=lovstudio/skills/praise-before-work
GET https://markdownregistry.com/api/v1/blob/ce631a2c917f0fdf7b7423bfa7a2ec74e4fdcf1cf4d83095191d0782bbf93ab3

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.

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