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mdstr

mdstr是零配置CLI工具,核心功能是将Markdown文件或标准输入内容转为JSON安全字符串,自动转义特殊字符,默认去除末尾换行,可通过参数保留。支持文件或管道输入,输出为带引号的JSON字符串,直接适配JSON结构。典型场景包括API payload构建、LLM Prompt注入、JSON配置嵌入、CI/CD流程等,需依赖Node.js20+,可全局安装或npx调用。

waldekmastykarz
waldekmastykarz
热度 16.10
最近更新 2026-05-16 17:16:47
分类:效率依赖:代码执行 / 读写文件应用场景:文件转换 / 工作流

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add mdstr
Metadata
name
mdstr
description
This skill should be used when the user asks to "convert markdown to JSON string", "escape markdown for JSON", "make markdown JSON-safe", "embed markdown in JSON", "stringify markdown", or needs to convert a markdown file or text into a JSON-safe string for API calls, LLM prompts, or config files.

mdstr - Markdown to JSON-safe String

Zero-config CLI for converting markdown to a JSON-safe string. Pass a file or pipe stdin, get a properly escaped JSON string on stdout. No flags required.

Prerequisites

Ensure mdstr is available:

# Check if installed
which mdstr

# Install globally if needed
npm install -g mdstr

# Or use npx for one-off conversions
npx mdstr <file>

Requires Node.js 20 or later.

Basic Usage

From a file

mdstr README.md
mdstr ./docs/guide.md

From stdin

cat notes.md | mdstr
echo '# "Hello" World' | mdstr
# → "# \"Hello\" World"

The output is always a single JSON string on stdout, surrounded by quotes, with all special characters properly escaped. Ready to embed directly into JSON structures.

Options

Flag Description
--preserve-newline Keep trailing newline in output (stripped by default)
--version Show version number
--help Show help with examples

Exit Codes

Code Meaning
0 Success
1 Read/conversion error
2 Invalid usage (file not found, no input)

Common Workflows

Convert a markdown file to a JSON-safe string

mdstr instructions.md
# → "# Instructions\n\nDo this and that.\n\nSaid \"hello\" and left."

Embed markdown in a JSON payload

Use jq to build JSON structures with markdown content:

jq -n --argjson content "$(mdstr instructions.md)" '{prompt: $content}' > payload.json

Inject markdown into LLM prompts

SYSTEM_PROMPT=$(mdstr system-prompt.md)
curl -s https://api.openai.com/v1/chat/completions \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer $OPENAI_API_KEY" \
  -d "$(jq -n --argjson prompt "$SYSTEM_PROMPT" '{
    model: "gpt-4o",
    messages: [{role: "system", content: $prompt}]
  }')"

Build payloads from multiple markdown files

jq -n \
  --argjson system "$(mdstr system.md)" \
  --argjson user "$(mdstr user-prompt.md)" \
  '{messages: [{role: "system", content: $system}, {role: "user", content: $user}]}'

Pipe markdown into JSON

echo '- line 1
- line 2' | mdstr | jq '{content: .}'
# → {"content": "- line 1\n- line 2"}

Keep trailing newline

By default, mdstr strips the trailing newline. To preserve it:

mdstr README.md --preserve-newline

Output Characteristics

The output is always:

  • A single JSON string on stdout (with surrounding quotes)
  • All special characters escaped (", \, newlines, tabs, etc.)
  • Trailing newline stripped by default (use --preserve-newline to keep)
  • Errors on stderr
  • Deterministic exit codes

No confirmation prompts. No color codes. No spinners. Designed for automated pipelines and agent tool calls.

Error Handling

When conversion fails, check:

  1. File exists and is readable
  2. Input is provided (either a file argument or piped stdin)
  3. Node.js 20 or later is installed

Errors are printed to stderr with actionable context.

Use Cases

API payloads

Convert markdown documentation or prompts into JSON-safe strings for REST API calls:

mdstr prompt.md
# Use the output directly in curl or httpie commands

LLM prompt construction

Convert system prompts, user messages, or few-shot examples stored as markdown files into strings suitable for LLM API payloads.

Configuration files

Embed markdown content (descriptions, help text, documentation) into JSON config files.

CI/CD pipelines

Convert release notes or changelogs from markdown to JSON-safe strings for automated notifications or API integrations.