stock-data-skill
OpenClaw Skill for stock data analysis
Swiss-army knife for JSON files. Pretty-print, validate, minify, sort keys, and query with dot-notation paths. Zero dependencies.
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install claudiodrusus/skill-3打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
A zero-dependency Python utility for working with JSON data. Validates, formats, minifies, queries, and inspects JSON files — all with Python's standard library.
Pretty-print a JSON file:
python main.py data.json
Validate without output:
python main.py config.json --validate
# ✓ Valid JSON
# Type: object (12 keys)
# Size: 4832 bytes
Query a nested value:
python main.py users.json --query data.users.0.name
# "Alice"
Minify for production:
python main.py config.json --minify -o config.min.json
Sort keys for consistent diffs:
python main.py package.json --sort-keys -o package-sorted.json
Pipe from curl:
curl -s https://api.example.com/data | python main.py - --query results.0
Use dot notation to navigate nested structures. Array indices are numbers:
name — top-level keydata.users — nested object keydata.users.0 — first element of an arraydata.users.0.email — field of the first array elementconfig.servers.2.host — deeply nested valueinput — JSON file path, or - for stdin-o, --output — Output file (defaults to stdout)--indent N — Indentation spaces (default: 2)--minify — Output minified JSON (no whitespace)--query PATH / -q PATH — Extract a value at the given dot-notation path--validate — Only validate and print stats, no output--sort-keys — Sort object keys alphabetically--json — (implicit) Output is always valid JSON这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# JSON Toolkit A zero-dependency Python utility for working with JSON data. Validates, formats, minifies, queries, and inspects JSON files — all with Python's standard library. ## Features - **Pretty-print** with configurable indentation (2, 4, or any number of spaces) - **Minify** JSON to reduce file size for APIs and storage - **Validate** JSON and get structural stats (type, key count, size) - **Query** nested data with dot-notation paths including array indices - **Sort keys** alphabetically for deterministic output and easier diffs - **Stdin support** for use in shell pipelines with other tools ## Usage Examples Pretty-print a JSON file: ```bash python main.py data.json ``` Validate without output: ```bash python main.py config.json --validate # ✓ Valid JSON # Type: object (12 keys) # Size: 4832 bytes ``` Query a nested value: ```bash python main.py users.json --query data.users.0.name # "Alice" ``` Minify for production: ```bash python main.py config.json --minify -o config.min.json ``` Sort keys for consistent diffs: ```bash python main.py package.json --sort-keys -o package-sorted.json ``` Pipe from curl: ```bash curl -s https://api.example.com/data | python main.py - --query results.0 ``` ## Query Syntax Use dot notation to navigate nested structures. Array indices are numbers: - `name` — top-level key - `data.users` — nested object key - `data.users.0` — first element of an array - `data.users.0.email` — field of the first array element - `config.servers.2.host` — deeply nested value ## Command Line Options - `input` — JSON file path, or `-` for stdin - `-o, --output` — Output file (defaults to stdout) - `--indent N` — Indentation spaces (default: 2) - `--minify` — Output minified JSON (no whitespace) - `--query PATH` / `-q PATH` — Extract a value at the given dot-notation path - `--validate` — Only validate and print stats, no output - `--sort-keys` — Sort object keys alphabetically - `--json` — (implicit) Output is always valid JSON
OpenClaw Skill for stock data analysis
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