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Agent Skill · 研究检索

prompt-vault(提示金库)

用于辅助提示词、系统指令、Agent 行为约束和工作流模板的整理。它适合让 Agent 规范任务边界、统一输出格式、拆分操作步骤或优化提示词可复用性。使用时需要保留真实业务约束,不要把示例当硬规则;涉及自动执行、外部工具或高风险操作时,应在提示词中明确确认步骤、权限边界和失败处理方式。

prompt-vault 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为操作浏览器;许可证为 MIT-0,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 16,657。

总安装 7,056周安装 294GitHub Stars 公开资料未说明下载 2,352核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:prompt-vault(提示金库)
来源仓库:https://github.com/theshadowrose/prompt-vault
安装命令:
openclaw skills install prompt-vault
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install prompt-vault

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

与您的团队组织、评分和分享提示。再也不会失去一个很棒的提示了。通过搜索、标签和评级进行集中式提示管理。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install prompt-vault;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要操作浏览器,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

prompt-vault 怎么安装?

在终端执行 openclaw skills install prompt-vault。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

prompt-vault 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

prompt-vault 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

prompt-vault 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

prompt-vault 用的人多吗?

公开数据是累计安装 7,056 次,近一周安装 294 次,下载 2,352 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

prompt-vault 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
prompt-vault

提示金库 · 本页

7,056—操作浏览器MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
PromptVault Team Prompt Library
description
Organize, rate, and share prompts with your team. Never lose a great prompt again. Centralized prompt management with search, tags, and ratings.
author
@TheShadowRose
version
1.0.0
tags
["prompts", "team", "library", "sharing", "organization", "collaboration"]
license
MIT

PromptVault Team Prompt Library

Organize, rate, and share prompts with your team. Never lose a great prompt again. Centralized prompt management with search, tags, and ratings.


Organize, rate, and share prompts with your team. Never lose a great prompt again.

Author: Shadow Rose License: MIT Quality: quality-verified


What It Does

You've discovered a prompt that works perfectly. Your teammate found one that saves hours. Someone else rated a prompt 5 stars. Where do you keep all of this knowledge?

Random text files? Scattered notes? Lost in chat history?

PromptVault solves this:

  • 📚 Central library for all your prompts
  • ⭐ Rate prompts (1-5 stars) with performance notes
  • 🏷️ Organize by categories and tags
  • 🔍 Fast search across everything
  • 📊 Usage tracking (know which prompts work)
  • 🔄 Export/import for team sharing
  • 🌐 Beautiful HTML browse interface (no server needed)
  • 📝 Changelog tracking (who changed what, when)
  • 🚀 Command-line first (scriptable, automation-friendly)

One vault. Entire team. All the prompts that matter.


Quick Start

# Add your first prompt
python prompt_vault.py add "Helpful Assistant" \
  --text "You are a helpful, friendly assistant." \
  --category system

# Search for prompts
python prompt_vault.py search "assistant"

# Rate a prompt
python prompt_vault.py rate abc123def456 --rating 5 --notes "Perfect for customer support"

# Generate HTML browse interface
python prompt_browse.py -o browse.html

# Export for team sharing
python prompt_sync.py export prompt_vault.json -o team_export.json

Features

📚 Organized Library

Categories:

  • System prompts (personas, behaviors)
  • Task prompts (specific jobs)
  • Templates (reusable structures)
  • Snippets (prompt fragments)
  • Chains (multi-step sequences)

Tags: Add as many as you want. Search by any tag.

Metadata: Author, model compatibility, creation date, last modified

⭐ Rating System

Rate prompts 1-5 stars with notes:

python prompt_vault.py rate abc123def456 --rating 5 --notes "Works great with GPT-4"

Search by minimum rating:

python prompt_vault.py search --min-rating 4

Know which prompts are team favorites.

📊 Usage Tracking

Every time you use a prompt, track it:

python prompt_vault.py get abc123def456 --use

See most-used prompts:

python prompt_vault.py stats

Data-driven prompt management.

🔍 Powerful Search

Search by:

  • Keywords (in name, text, notes)
  • Category
  • Tags (any tag matches)
  • Author
  • Minimum rating
# Find all code review prompts rated 4+
python prompt_vault.py search "code review" --category task --min-rating 4

# Find all prompts by Alice
python prompt_vault.py search --author Alice

# Find prompts tagged "python" or "coding"
python prompt_vault.py search --tags python,coding

🔄 Team Sharing

Export prompts:

# Export high-rated prompts for team
python prompt_sync.py export prompt_vault.json -o team_best.json --min-rating 4

# Export specific categories
python prompt_sync.py export prompt_vault.json -o system_prompts.json --categories system

Import prompts:

# Import with skip duplicates (default)
python prompt_sync.py import my_vault.json --from team_best.json

# Import and replace duplicates
python prompt_sync.py import my_vault.json --from team_best.json --strategy replace

# Import and merge (combine tags, keep highest rating)
python prompt_sync.py import my_vault.json --from team_best.json --strategy merge

Compare vaults:

python prompt_sync.py diff my_vault.json coworker_vault.json

🌐 HTML Browse Interface

Generate a static HTML page for easy browsing:

python prompt_browse.py -o browse.html

Features:

  • Search bar (live filtering)
  • Category filters
  • Click to copy prompt to clipboard
  • No server needed (open in browser)
  • Works offline
  • Share with team (just send the HTML file)

Perfect for teams who want a simple, visual way to explore prompts.

📝 Changelog Tracking

Every update is logged:

python prompt_vault.py update abc123def456 --text "Updated prompt text"

The vault automatically tracks:

  • What changed
  • When it changed
  • Full history per prompt

🔒 Safe & Git-Friendly

  • JSON storage — plain text, easy to diff
  • Automatic backups — creates .bak before saves
  • No lock files — safe for shared drives
  • Merge-friendly — resolve conflicts easily

Works great with Git, Dropbox, Google Drive, network shares.


Usage Examples

Example 1: Build a System Prompt Library

# Add system prompts
python prompt_vault.py add "Code Reviewer" \
  --text "You are an expert code reviewer..." \
  --category system \
  --tags "coding,reviews" \
  --author "Alice"

python prompt_vault.py add "Technical Writer" \
  --text "You are a technical writer who explains concepts clearly..." \
  --category system \
  --tags "writing,documentation" \
  --author "Bob"

# List all system prompts
python prompt_vault.py list --category system

Example 2: Track Performance

# Use a prompt for a task
python prompt_vault.py get abc123def456 --use

# After testing, rate it
python prompt_vault.py rate abc123def456 --rating 5 --notes "Perfect results with GPT-4"

# Check usage stats
python prompt_vault.py stats

Output:

=== Vault Statistics ===
Total prompts: 15
Average rating: 4.2/5

By category:
  system: 5
  task: 8
  template: 2

Most used:
  Code Reviewer: 23 times
  Bug Fixer: 18 times
  Documentation Writer: 12 times

Example 3: Team Workflow

Person A (Curator):

# Create initial vault with best prompts
python prompt_vault.py add "Sprint Planner" --text "..." --category task --rating 5
python prompt_vault.py add "Bug Analyzer" --text "..." --category task --rating 5

# Export for team
python prompt_sync.py export my_vault.json -o team_prompts.json --min-rating 4

Person B (Team Member):

# Import team prompts
python prompt_sync.py import my_vault.json --from team_prompts.json

# Add own prompts
python prompt_vault.py add "My Custom Prompt" --text "..." --category task

# Generate browse interface
python prompt_browse.py -o browse.html

Person C (Contributor):

# Import team prompts
python prompt_sync.py import my_vault.json --from team_prompts.json --strategy merge

# Rate and improve
python prompt_vault.py rate abc123def456 --rating 4 --notes "Works but could be more specific"
python prompt_vault.py update abc123def456 --text "Improved version..."

# Export updated version
python prompt_sync.py export my_vault.json -o my_improvements.json

Example 4: Automation

# Script to find and use a prompt
#!/bin/bash
PROMPT_ID="abc123def456"

# Get prompt text
TEXT=$(python prompt_vault.py get $PROMPT_ID --use | grep -A 999 "text:" | tail -n +2)

# Use with AI API
curl -X POST https://api.example.com/chat \
  -d "{\"prompt\": \"$TEXT\"}"

Command Reference

Core Commands

Add a Prompt
prompt_vault.py add "NAME" --text "PROMPT TEXT" [OPTIONS]

Options:
  --category CATEGORY    system, task, template, snippet, chain
  --tags TAGS            Comma-separated tags
  --author AUTHOR        Prompt author
  --notes NOTES          Usage notes
  --models MODELS        Compatible models
  --rating RATING        Initial rating (1-5)
Search Prompts
prompt_vault.py search [QUERY] [OPTIONS]

Options:
  --category CATEGORY    Filter by category
  --tags TAGS            Filter by tags (any match)
  --author AUTHOR        Filter by author
  --min-rating N         Minimum rating
  -v, --verbose          Show full details
Get a Prompt
prompt_vault.py get PROMPT_ID [OPTIONS]

Options:
  -v, --verbose          Show full details including changelog
  --use                  Increment usage counter
Rate a Prompt
prompt_vault.py rate PROMPT_ID --rating N [OPTIONS]

Options:
  --rating N             Rating (1-5, required)
  --notes NOTES          Rating notes
Update a Prompt
prompt_vault.py update PROMPT_ID [OPTIONS]

Options:
  --name NAME            New name
  --text TEXT            New text
  --category CATEGORY    New category
  --tags TAGS            New tags
  --notes NOTES          New notes
Delete a Prompt
prompt_vault.py delete PROMPT_ID [--confirm]
List Prompts
prompt_vault.py list [OPTIONS]

Options:
  --category CATEGORY    Filter by category
  -v, --verbose          Show full details
Statistics
prompt_vault.py stats
List Categories/Tags
prompt_vault.py categories
prompt_vault.py tags

Sync Commands

Export
prompt_sync.py export VAULT.json -o OUTPUT.json [OPTIONS]

Options:
  --categories CATS      Comma-separated categories to include
  --min-rating N         Minimum rating to include
  --include-private      Include notes and changelog
Import
prompt_sync.py import VAULT.json --from IMPORT.json [OPTIONS]

Options:
  --strategy STRATEGY    skip (default), replace, or merge
  --update-existing      Update existing prompts with newer data
Diff (Compare)
prompt_sync.py diff VAULT1.json VAULT2.json [-v]

Browse Interface

Generate HTML
prompt_browse.py -o OUTPUT.html [OPTIONS]

Options:
  --vault VAULT.json     Source vault (default: prompt_vault.json)
  --title TITLE          Page title

Configuration

See config_example.json for reference constants and example values

# Vault location
VAULT_PATH = './prompt_vault.json'

# Categories
DEFAULT_CATEGORIES = ['system', 'task', 'template', 'snippet', 'chain']

# Team settings
TEAM_SETTINGS = {
    'default_author': 'Team',
    'require_category': True,
}

# Custom categories
CUSTOM_CATEGORIES = ['code_review', 'creative_writing']

See config_example.json for all available options.


Use Cases

For Solo Developers

  • Keep all your favorite prompts in one place
  • Rate what works, discard what doesn't
  • Never lose a great prompt again

For Teams

  • Share best prompts across the team
  • Track which prompts are most effective
  • Standardize on high-quality prompts

For Prompt Engineers

  • Organize experiments by category
  • Track performance with ratings
  • Version control with changelog

For Managers

  • See what prompts teams use most
  • Identify top contributors
  • Export best practices

File Structure

prompt-vault/
├── prompt_vault.py        # Main library engine
├── prompt_browse.py       # HTML interface generator
├── prompt_sync.py         # Export/import for sharing
├── config_example.json      # Configuration template
├── prompt_vault.json      # Your vault (created on first use)
├── README.md              # This file
├── LIMITATIONS.md         # What this tool doesn't do
└── LICENSE                # MIT License

Requirements

Python 3.7+ (standard library only — no external dependencies)


Tips & Best Practices

1. Use Descriptive Names

Bad: "Prompt 1", "Test prompt" Good: "Bug Analyzer - Python", "Sprint Planning Assistant"

2. Tag Consistently

Agree on team tags: coding, writing, analysis, not code/coding/dev

3. Rate After Real Use

Don't rate on creation. Use it first, then rate based on actual results.

4. Add Performance Notes

When rating, note which model, what task, and results:

Rating 5/5: Perfect with GPT-4 for code reviews. Catches edge cases consistently.

5. Export Regularly

Share team exports weekly or monthly. Keep everyone aligned.

6. Use Categories Meaningfully

  • System: Personas and behaviors
  • Task: Specific job prompts
  • Template: Reusable structures
  • Snippet: Fragments for building
  • Chain: Multi-step sequences

7. Track Usage

Use --use flag when grabbing prompts. Data shows what actually works.

8. HTML for Non-Technical Users

Generate HTML browse interface for team members who don't use CLI.


Integration Ideas

Git Workflow

# Commit vault changes
git add prompt_vault.json
git commit -m "Added new code review prompts"
git push

# Team pulls changes
git pull

Automation Scripts

# Auto-export high-rated prompts nightly
0 2 * * * python prompt_sync.py export my_vault.json -o /shared/team_best.json --min-rating 4

Backup Strategy

# Daily backup to cloud
0 1 * * * cp prompt_vault.json ~/Dropbox/backups/prompt_vault_$(date +\%Y\%m\%d).json

Contributing

MIT License means you can:

  • Fork and modify
  • Share improvements
  • Use commercially
  • Customize for your team

License

MIT License — see LICENSE file for details.

Free for personal and commercial use.


Author

Shadow Rose


FAQ

Q: Can multiple people use the same vault file? A: Yes! Store on a network drive, Dropbox, or Git repo. The format is merge-friendly.

Q: What if two people edit at the same time? A: Use Git for merging, or export/import to combine changes safely.

Q: Does this work with any AI model? A: Yes! Store prompts for any model (GPT, Claude, Gemini, local models, etc.)

Q: Can I migrate from my current prompt system? A: Yes. Write a quick script to convert your format to PromptVault JSON, then import.

Q: How do I backup my vault? A: It's just a JSON file. Copy it anywhere. Enable auto-backup in config.

Q: Can I have multiple vaults? A: Yes! Use --vault flag to specify different vault files.

Q: Is there a GUI? A: No built-in GUI, but the HTML browse interface works like one. Or build your own on top of the CLI.

Q: Can I search by partial match? A: Yes, search is substring-based by default.


Never lose a great prompt again. Start building your vault today:

python prompt_vault.py add "Your First Prompt" --text "Make it great" --category task

⚠️ Disclaimer

This software is provided "AS IS", without warranty of any kind, express or implied.

USE AT YOUR OWN RISK.

  • The author(s) are NOT liable for any damages, losses, or consequences arising from

the use or misuse of this software — including but not limited to financial loss, data loss, security breaches, business interruption, or any indirect/consequential damages.

  • This software does NOT constitute financial, legal, trading, or professional advice.
  • Users are solely responsible for evaluating whether this software is suitable for

their use case, environment, and risk tolerance.

  • No guarantee is made regarding accuracy, reliability, completeness, or fitness

for any particular purpose.

  • The author(s) are not responsible for how third parties use, modify, or distribute

this software after purchase.

By downloading, installing, or using this software, you acknowledge that you have read this disclaimer and agree to use the software entirely at your own risk.

DATA DISCLAIMER: This software processes and stores data locally on your system. The author(s) are not responsible for data loss, corruption, or unauthorized access resulting from software bugs, system failures, or user error. Always maintain independent backups of important data. This software does not transmit data externally unless explicitly configured by the user.


Support & Links

🐛 Bug ReportsTheShadowyRose@proton.me
☕ Ko-fiko-fi.com/theshadowrose
🛒 Gumroadshadowyrose.gumroad.com
🐦 Twitter@TheShadowyRose
🐙 GitHubgithub.com/TheShadowRose
🧠 PromptBasepromptbase.com/profile/shadowrose

*Built with OpenClaw — thank you for making this possible.*


🛠️ Need something custom? Custom OpenClaw agents & skills starting at $500. If you can describe it, I can build it. → Hire me on Fiverr

平台分布

OpenClaw

86.22%
按下载量换算2,028

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills