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Jlm Coffee
作者
alexpolonsky
· GitHub ↗
· v2.1.0
435
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0
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当前安装
2
版本数
在 OpenClaw 中安装
/install jlm-coffee
功能描述
Search Jerusalem specialty coffee shops by name, amenities, ratings, and opening hours. Use when user asks about "coffee in Jerusalem", "Jerusalem cafe", "בי...
使用说明 (SKILL.md)
Jerusalem Coffee Finder
Search specialty coffee shops in Jerusalem - ratings, amenities, opening hours, reviews, and locations from coffee.amsterdamski.com, created and curated by Shaul Amsterdamski (@amsterdamski2).
Data from the official public JSON export provided by the site maintainer. May not reflect current status. Provided "as is" without warranty of any kind.
Quick Start
# List all coffee shops
python3 {baseDir}/scripts/jlm-coffee.py list
# Find a shop by name
python3 {baseDir}/scripts/jlm-coffee.py search "סיבריס"
Commands
| Command | Description |
|---|---|
list |
List all approved specialty coffee shops |
search \x3Cquery> |
Search shops by name (Hebrew or English) |
get \x3Cid_or_name> |
Get full details for a specific shop |
filter \x3Camenity> |
Filter shops by amenity (wifi, dogs, kosher, etc.) |
open-now |
Show shops currently open |
amenities |
List all available amenity filters |
surprise |
Pick a random coffee shop (prefers open ones) |
Search and Filter Examples
# Search by name (Hebrew or English)
python3 {baseDir}/scripts/jlm-coffee.py search "רוסטרס"
python3 {baseDir}/scripts/jlm-coffee.py search "Cafe Pepa"
# Filter by amenity
python3 {baseDir}/scripts/jlm-coffee.py filter wifi
python3 {baseDir}/scripts/jlm-coffee.py filter dogs
python3 {baseDir}/scripts/jlm-coffee.py filter kosher
python3 {baseDir}/scripts/jlm-coffee.py filter laptop
# Shops open right now
python3 {baseDir}/scripts/jlm-coffee.py open-now
# Full details for a shop
python3 {baseDir}/scripts/jlm-coffee.py get "בארוק"
python3 {baseDir}/scripts/jlm-coffee.py get EljFiggwObssQpypWMf0
Options Reference
| Option | Commands | Description |
|---|---|---|
--json |
all | Output in JSON format (agent-friendly) |
--no-color |
all | Disable colored output (auto-detected for non-TTY) |
Amenity Filters
| Key | Label | Aliases |
|---|---|---|
wifi |
WiFi | |
dogs |
Dog-friendly | dog, dog-friendly |
laptop |
Laptop-friendly | laptops |
outdoor |
Outdoor seating | outside, terrace |
accessible |
Wheelchair accessible | wheelchair |
vegan |
Vegan options | |
kids |
Kid-friendly | children, kid-friendly |
quiet |
Quiet atmosphere | |
smoking |
Smoking area | |
local-roasting |
Local roasting | roasting |
sell-beans |
Sells beans | beans |
filter-coffee |
Filter coffee | filter |
kosher |
Kosher | |
open-saturday |
Open Saturday | saturday, shabbat |
power |
Power outlets | outlets |
parking |
Parking |
Workflow Example
# 1. Find shops with WiFi and look at the list
python3 {baseDir}/scripts/jlm-coffee.py filter wifi
# 2. Get details on one that looks good
python3 {baseDir}/scripts/jlm-coffee.py get "מטאפורה"
# 3. Check what's open right now
python3 {baseDir}/scripts/jlm-coffee.py open-now
# 4. Feeling lucky? Get a random pick
python3 {baseDir}/scripts/jlm-coffee.py surprise
Notes
- Community-curated: All specialty coffee in Jerusalem, community-reviewed
- Official data source: Reads from a public JSON export provided by the site maintainer (no API key, no Firestore)
- Bilingual: Search works with Hebrew and English names
- Opening hours: Based on Google Places data, cached by the site
- Reviews included: Shop details show community reviews with ratings
- Color output: ANSI colors in terminal (respects
NO_COLORenv var and--no-colorflag) - CLI shortcut: Install as
jlm-coffeevia symlink to the wrapper script - No dependencies: Python stdlib only (urllib, json)
- Fast caching: 15-minute local cache TTL - one fetch covers all commands
安全使用建议
This skill fetches a public JSON export from a Google Docs URL and caches it under your system temp directory; it does not ask for credentials or install additional software. If you trust the data source (coffee.amsterdamski.com / the Google Doc owner), using the skill is reasonable. If you have concerns: inspect the DOC_ID URL in a browser to verify the data, run the script in an isolated environment, or review the upstream GitHub repo linked in SKILL.md before enabling. Also note the script makes outbound HTTPS requests (network access) and stores a cache file in /tmp (or your platform's temp dir).
功能分析
Type: OpenClaw Skill
Name: jlm-coffee
Version: 2.1.0
The OpenClaw skill 'jlm-coffee' is a benign utility for searching Jerusalem coffee shops. It fetches data from a single, hardcoded public Google Docs URL (https://docs.google.com/document/d/1BfsXKQLbKjogfSebRr0Ixt4L4VJHqPqTfnWxkosvcuM/export?format=txt) using `urllib.request`. The `SKILL.md` provides clear instructions without any prompt injection attempts. The `jlm-coffee.py` script uses only Python standard libraries, stores temporary cache files in `tempfile.gettempdir()`, and processes user input safely without any shell injection vulnerabilities or dynamic code execution. There is no evidence of data exfiltration, persistence mechanisms, or other malicious behaviors.
能力评估
Purpose & Capability
The name/description (Jerusalem coffee finder) aligns with the included files and behavior. The script fetches a public JSON export, parses shop records, and implements list/search/filter/open-now commands as described. Required binary (python3) and OS restrictions are appropriate.
Instruction Scope
SKILL.md instructs the agent to run the provided CLI with specific commands; the instructions are limited to searching/filtering/reading the public data source and formatting output. There are no instructions to read unrelated files, env vars, or send data to unexpected endpoints.
Install Mechanism
No install spec; the skill is instruction-only plus a single Python script. No downloads or archive extraction are performed. This is the lowest-risk installation model and matches the declared 'no dependencies'.
Credentials
The skill requests no environment variables, no credentials, and no config paths. It only performs outbound HTTPS GET to a Google Docs export URL (public) and uses the system temp directory for a best-effort cache, which is proportionate to its purpose.
Persistence & Privilege
always is false and the skill does not modify other skills or system-wide settings. It writes a transient cache under the OS temp directory only (CACHE_DIR in tempfile.gettempdir()), which is expected and limited in scope.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install jlm-coffee - 安装完成后，直接呼叫该 Skill 的名称或使用
/jlm-coffee触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v2.1.0
- Version updated to 2.1.0 (no other changes detected)
- No file changes or feature additions in this release
v2.0.0
Major update: Complete rewrite and feature expansion.
- Search, list, and filter Jerusalem specialty coffee shops by name, amenities, ratings, and opening hours.
- New CLI with commands for listing, searching, filtering by amenity (wifi, dog-friendly, laptop-friendly, kosher, etc.), viewing open shops, and more.
- Shop details now show community ratings, amenities, reviews, and Google-sourced opening hours.
- Bilingual support for Hebrew and English names in search.
- Improved usability: JSON output, no external dependencies, color options, and fast local caching.
- Data now sourced directly from the public JSON export curated by coffee.amsterdamski.com.
元数据
常见问题
Jlm Coffee 是什么？
Search Jerusalem specialty coffee shops by name, amenities, ratings, and opening hours. Use when user asks about "coffee in Jerusalem", "Jerusalem cafe", "בי... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 435 次。
如何安装 Jlm Coffee？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install jlm-coffee」即可一键安装，无需额外配置。
Jlm Coffee 是免费的吗？
是的，Jlm Coffee 完全免费（开源免费），可自由下载、安装和使用。
Jlm Coffee 支持哪些平台？
Jlm Coffee 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（darwin, linux）。
谁开发了 Jlm Coffee？
由 alexpolonsky（@alexpolonsky）开发并维护，当前版本 v2.1.0。
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