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yingjiusheng

自然语言转JOSN参数

by Paulina Laitinen · GitHub ↗ · v1.0.1
cross-platform ✓ Security Clean
258
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Install in OpenClaw
/install nl2json
Description
将自然语言转换成JSON参数。当用户说"帮我把自然语言转成JSON"、"把这段话转换成JSON参数"、"识别成JSON"、"转成JSON"、"转换成JSON"、"帮我生成JSON"、"用JSON表示"、"提取成JSON"、"解析成JSON"、"把这句话变成JSON"、"帮我做JSON转换"、"查询数据转JSON"...
Usage Guidance
This skill appears consistent and low-risk: it reads a local template and the conversation history, then returns structured JSON. Before installing, consider: (1) the skill will include raw user inputs in the generated JSON and may rely on stored previous conversions—avoid submitting sensitive personal data if you don't want it preserved; (2) confirm how your agent platform persists conversation memory (how long previous conversions are kept); and (3) review templates/default.json if you want different fields. Test the skill with non-sensitive example inputs first.
Capability Analysis
Type: OpenClaw Skill Name: nl2json Version: 1.0.1 The nl2json skill is a utility designed to convert natural language into structured JSON parameters based on a provided template. The skill instructions in SKILL.md focus on data extraction, time format normalization, and context inheritance for multi-turn conversations, with no evidence of malicious intent, data exfiltration, or unauthorized command execution.
Capability Assessment
Purpose & Capability
Name and description match the actual behavior: reading templates/default.json and converting user text into a JSON structure. There are no unrelated binaries, environment variables, or external endpoints requested.
Instruction Scope
SKILL.md instructs only to read the local template, extract fields from user input, convert relative/absolute times to a fixed format, optionally inherit prior-conversion values from conversation history, and output JSON only. It does not instruct reading system files, contacting external services, or accessing unrelated credentials.
Install Mechanism
No install spec and no code files that would be written/executed on disk; this is instruction-only and has minimal surface area.
Credentials
No environment variables, secrets, or config paths are required. The only data used are the local template file and conversation history, which are proportional to the task.
Persistence & Privilege
always:false and no system-modifying instructions. The skill requires remembering the previous conversion result (conversation history or agent memory) to implement 'context inheritance'—this is expected for the feature but implies the agent will persist or access prior outputs; verify how long and where that context is stored if you have privacy concerns.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install nl2json
  3. After installation, invoke the skill by name or use /nl2json
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
- 增强了自然语言转JSON能力,完善模板化自动结构化输出,并支持上下文继承。 - 支持严格按照 templates/default.json 模板结构输出结果,保证每个模板字段不遗漏。 - 新增上下文参数继承机制:用户可连续部分修改(如只改时间/来源/数量),仅变更字段自动合并。 - 统一所有时间参数格式为 YYYY-mm-dd H:i:s,并支持丰富的相对及具体时间自然语言解析。 - 提供丰富的应用场景示例及查询短语支持,提升各类中文数据/新闻/舆情转JSON体验。 - 明确默认值填充及输出格式规范,确保每次生成结果 JSON 可直接解析。
Metadata
Slug nl2json
Version 1.0.1
License
All-time Installs 1
Active Installs 1
Total Versions 1
Frequently Asked Questions

What is 自然语言转JOSN参数?

将自然语言转换成JSON参数。当用户说"帮我把自然语言转成JSON"、"把这段话转换成JSON参数"、"识别成JSON"、"转成JSON"、"转换成JSON"、"帮我生成JSON"、"用JSON表示"、"提取成JSON"、"解析成JSON"、"把这句话变成JSON"、"帮我做JSON转换"、"查询数据转JSON"... It is an AI Agent Skill for Claude Code / OpenClaw, with 258 downloads so far.

How do I install 自然语言转JOSN参数?

Run "/install nl2json" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is 自然语言转JOSN参数 free?

Yes, 自然语言转JOSN参数 is completely free (open-source). You can download, install and use it at no cost.

Which platforms does 自然语言转JOSN参数 support?

自然语言转JOSN参数 is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created 自然语言转JOSN参数?

It is built and maintained by Paulina Laitinen (@yingjiusheng); the current version is v1.0.1.

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