Content Parser

name: content-parser description: | Extract and parse content from URLs. Triggers on: user provides a URL to extract content from, another skill needs to parse source material, "parse this URL", "extract content", "解析链接", "提取内容". metadata: openclaw: emoji: "🔗" requires: env: ["LISTENHUB_API_KEY"] primaryEnv: "LISTENHUB_API_KEY"

When to Use

• User provides a URL and wants to extract/read its content
• Another skill needs to parse source material from a URL before generation
• User says "parse this URL", "extract content from this link"
• User says "解析链接", "提取内容"

When NOT to Use

• User already has text content and doesn't need URL parsing
• User wants to generate audio/video content (not content extraction)
• User wants to read a local file (use standard file reading tools)

Purpose

Extract and normalize content from URLs across supported platforms. Returns structured data including content body, metadata, and references. Useful as a preprocessing step for content generation skills or standalone content extraction.

Hard Constraints

• No shell scripts. Construct curl commands from the API reference files listed in Resources
• Always read shared/authentication.md for API key and headers
• Follow shared/common-patterns.md for polling, errors, and interaction patterns
• URL must be a valid HTTP(S) URL
• Always read config following shared/config-pattern.md before any interaction
• Never save files to ~/Downloads/ or .listenhub/ — save to the current working directory

Use the AskUserQuestion tool for every multiple-choice step — do NOT print options as plain text. Ask one question at a time. Wait for the user's answer before proceeding to the next step. After collecting URL and options, confirm with the user before calling the extraction API.

Step -1: API Key Check

Follow shared/config-pattern.md § API Key Check. If the key is missing, stop immediately.

Step 0: Config Setup

Follow shared/config-pattern.md Step 0.

If file doesn't exist — ask location, then create immediately:

mkdir -p ".listenhub/content-parser"
echo '{"autoDownload":true}' > ".listenhub/content-parser/config.json"
CONFIG_PATH=".listenhub/content-parser/config.json"
# (or $HOME/.listenhub/content-parser/config.json for global)

Then run Setup Flow below.

If file exists — read config, display summary, and confirm:

当前配置 (content-parser)：
  自动下载：{是 / 否}

Ask: "使用已保存的配置？" → 确认，直接继续 / 重新配置

Setup Flow (first run or reconfigure)

1. autoDownload: "自动保存提取的内容到当前目录？"
2. "是（推荐）" → autoDownload: true
3. "否" → autoDownload: false

Save immediately:

NEW_CONFIG=$(echo "$CONFIG" | jq --argjson dl {true/false} '. + {"autoDownload": $dl}')
echo "$NEW_CONFIG" > "$CONFIG_PATH"
CONFIG=$(cat "$CONFIG_PATH")

Interaction Flow

Step 1: URL Input

Free text input. Ask the user:

What URL would you like to extract content from?

Step 2: Options (optional)

Ask if the user wants to configure extraction options:

Question: "Do you want to configure extraction options?"
Options:
  - "No, use defaults" — Extract with default settings
  - "Yes, configure options" — Set summarize, maxLength, or Twitter tweet count

If "Yes", ask follow-up questions: - Summarize: "Generate a summary of the content?" (Yes/No) - Max Length: "Set maximum content length?" (Free text, e.g., "5000") - Twitter count (only if URL is Twitter/X profile): "How many tweets to fetch?" (1-100, default 20)

Step 3: Confirm & Extract

Summarize:

Ready to extract content:

  URL: {url}
  Options: {summarize: true, maxLength: 5000, twitter.count: 50} / default

  Proceed?

Wait for explicit confirmation before calling the API.

Workflow

1. Validate URL: Must be HTTP(S). Normalize if needed (see references/supported-platforms.md)
2. Build request body: json { "source": { "type": "url", "uri": "{url}" }, "options": { "summarize": true/false, "maxLength": 5000, "twitter": { "count": 50 } } } Omit options if user chose defaults.
3. Submit (foreground): POST /v1/content/extract → extract taskId
4. Tell the user extraction is in progress
5. Poll (background): Run the following exact bash command with run_in_background: true and timeout: 300000. Note: status field is .data.status (not processStatus), interval is 5s, values are processing/completed/failed:

bash TASK_ID="<id-from-step-3>" for i in $(seq 1 60); do RESULT=$(curl -sS "https://api.marswave.ai/openapi/v1/content/extract/$TASK_ID" \ -H "Authorization: Bearer $LISTENHUB_API_KEY" 2>/dev/null) STATUS=$(echo "$RESULT" | tr -d '\000-\037\177' | jq -r '.data.status // "processing"') case "$STATUS" in completed) echo "$RESULT"; exit 0 ;; failed) echo "FAILED: $RESULT" >&2; exit 1 ;; *) sleep 5 ;; esac done echo "TIMEOUT" >&2; exit 2 6. When notified, download and present result:

If autoDownload is true: - Write {taskId}-extracted.md to the current directory — full extracted content in markdown - Write {taskId}-extracted.json to the current directory — full raw API response data

bash echo "$CONTENT_MD" > "${TASK_ID}-extracted.md" echo "$RESULT" > "${TASK_ID}-extracted.json"

Present: ``` 内容提取完成！

来源：{url} 标题：{metadata.title} 长度：~{character count} 字符 消耗积分：{credits}

已保存到当前目录： {taskId}-extracted.md {taskId}-extracted.json ```

1. Show a preview of the extracted content (first ~500 chars)
2. Offer to use content in another skill (e.g. /podcast, /tts)

Estimated time: 10-30 seconds depending on content size and platform.

API Reference

• Content extract: shared/api-content-extract.md
• Supported platforms: references/supported-platforms.md
• Polling: shared/common-patterns.md § Async Polling
• Error handling: shared/common-patterns.md § Error Handling
• Config pattern: shared/config-pattern.md

Example

User: "Parse this article: https://en.wikipedia.org/wiki/Topology"

Agent workflow: 1. URL: https://en.wikipedia.org/wiki/Topology 2. Options: defaults (omit options) 3. Submit extraction

curl -sS -X POST "https://api.marswave.ai/openapi/v1/content/extract" \
  -H "Authorization: Bearer $LISTENHUB_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "source": {
      "type": "url",
      "uri": "https://en.wikipedia.org/wiki/Topology"
    }
  }'

1. Poll until complete:

   本技能来自小葱技能站7w4.net。

curl -sS "https://api.marswave.ai/openapi/v1/content/extract/69a7dac700cf95938f86d9bb" \
  -H "Authorization: Bearer $LISTENHUB_API_KEY"

1. Present extracted content preview and offer next actions.

User: "Extract recent tweets from @elonmusk, get 50 tweets"

Agent workflow: 1. URL: https://x.com/elonmusk 2. Options: {"twitter": {"count": 50}} 3. Submit extraction

curl -sS -X POST "https://api.marswave.ai/openapi/v1/content/extract" \
  -H "Authorization: Bearer $LISTENHUB_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "source": {
      "type": "url",
      "uri": "https://x.com/elonmusk"
    },
    "options": {
      "twitter": {
        "count": 50
      }
    }
  }'

1. Poll until complete, present results.

这是一款实用的内容提取工具，能快速从网页、视频、社交媒体等多种来源获取所需内容，支持多个主流平台，操作流程简洁，每步都有确认提示，能自动生成摘要。整体质量良好，但需要配置 API 才能使用，对非技术用户有一定门槛，且部分平台内容可能存在限制。