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 (Inlined) section below
• See § API Reference (Inlined) below for API key and headers
• See § API Reference (Inlined) below 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

<HARD-GATE> 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. </HARD-GATE>

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 (Zero-Question Boot).

If file doesn't exist — silently create with defaults and proceed:

mkdir -p ".listenhub/content-parser"
echo '{"autoDownload":true}' > ".listenhub/content-parser/config.json"
CONFIG_PATH=".listenhub/content-parser/config.json"
CONFIG=$(cat "$CONFIG_PATH")

Do NOT ask any setup questions. Proceed directly to the Interaction Flow.

If file exists — read config silently and proceed:

CONFIG_PATH=".listenhub/content-parser/config.json"
[ ! -f "$CONFIG_PATH" ] && CONFIG_PATH="$HOME/.listenhub/content-parser/config.json"
CONFIG=$(cat "$CONFIG_PATH")

Setup Flow (user-initiated reconfigure only)

Only run when the user explicitly asks to reconfigure. Display current settings:

当前配置 (content-parser)：
  自动下载：{是 / 否}

Then ask:

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:

   {
     "source": {
       "type": "url",
       "uri": "{url}"
     },
     "options": {
       "summarize": true/false,
       "maxLength": 5000,
       "twitter": {
         "count": 50
       }
     }
   }

Omit options if user chose defaults.

1. Submit (foreground): POST /v1/content/extract → extract taskId
2. Tell the user extraction is in progress
3. 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:

   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 $LISTENHUB_API_KEY" \
       -H "X-Source: skills" 2>/dev/null)
     STATUS=$(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

1. When notified, download and present result:

If autoDownload is true, generate a slug from the extracted title (falling back to domain name if no title). Follow shared/config-pattern.md § Artifact Naming for slug generation and dedup.

• Write {slug}.md to the current directory — full extracted content in markdown
• Write {slug}.json to the current directory — full raw API response data

   SLUG="{title-slug}"  # e.g. "topology-wikipedia"
   # Dedup: check if files exist
   BASE="$SLUG"; i=2
   while [ -e "${SLUG}.md" ] || [ -e "${SLUG}.json" ]; do SLUG="${BASE}-${i}"; i=$((i+1)); done
   echo "$CONTENT_MD" > "${SLUG}.md"
   echo "$RESULT" > "${SLUG}.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：
     {slug}.md
     {slug}.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 (Inlined)

Authentication

Environment variable: LISTENHUB_API_KEY (format: lh_sk_...)

Store in ~/.zshrc (macOS) or ~/.bashrc (Linux):

export LISTENHUB_API_KEY="lh_sk_..."

How to obtain: Visit https://listenhub.ai/settings/api-keys (Pro plan required).

Base URL: https://api.marswave.ai/openapi/v1

Required headers (every request):

Authorization: Bearer $LISTENHUB_API_KEY
Content-Type: application/json
X-Source: skills

The X-Source: skills header identifies requests as coming from Claude Code skills (CLI tool).

curl template:

curl -sS -X POST "https://api.marswave.ai/openapi/v1/{endpoint}" \
  -H "Authorization: Bearer $LISTENHUB_API_KEY" \
  -H "Content-Type: application/json" \
  -H "X-Source: skills" \
  -d '{ ... }'

For GET requests, omit -d and change -X POST to -X GET.

Security notes:

• Never log or display full API keys in output
• API keys are transmitted via HTTPS only
• Do not pass sensitive or confidential information as content input — it is sent to external APIs for processing

POST /v1/content/extract

Create a content extraction task for a URL. Returns a taskId for polling.

Request body:

Response:

{
  "code": 0,
  "message": "success",
  "data": {
    "taskId": "69a7dac700cf95938f86d9bb"
  }
}

Error codes:

GET /v1/content/extract/{taskId}

Get extraction task status and results.

Path params:

Response states:

• processing — Task is still running
• completed — Extraction finished, data available
• failed — Extraction failed, check failCode and message

Response (processing):

{
  "code": 0,
  "message": "success",
  "data": {
    "taskId": "69a7dac700cf95938f86d9bb",
    "status": "processing",
    "createdAt": "2025-04-09T12:00:00Z",
    "data": null,
    "credits": 0,
    "failCode": null,
    "message": null
  }
}

Response (completed):

{
  "code": 0,
  "message": "success",
  "data": {
    "taskId": "69a7dac700cf95938f86d9bb",
    "status": "completed",
    "createdAt": "2025-04-09T12:00:00Z",
    "data": {
      "content": "Extracted text content...",
      "metadata": {
        "title": "Article Title",
        "author": "Author Name",
        "publishedAt": "2025-04-01T08:00:00Z"
      },
      "references": [
        "https://example.com/related-article"
      ]
    },
    "credits": 5,
    "failCode": null,
    "message": null
  }
}

Response (failed):

{
  "code": 0,
  "message": "success",
  "data": {
    "taskId": "69a7dac700cf95938f86d9bb",
    "status": "failed",
    "createdAt": "2025-04-09T12:00:00Z",
    "data": null,
    "credits": 0,
    "failCode": "EXTRACT_FAILED",
    "message": "Unable to extract content from the provided URL"
  }
}

Key fields:

Error codes:

Polling Pattern

5-second interval, 60 polls max. Run with run_in_background: true and timeout: 300000.

Two-step pattern:

1. Submit (foreground): POST the creation request, extract taskId from the response.
2. Poll (background): Run the polling loop with run_in_background: true. You will be notified automatically when it completes.

The exact polling bash command is already specified in the Workflow section (Step 5).

Error Handling

HTTP status codes:

Retry strategy:

• 429 rate limit: Wait 15 seconds, then retry (exponential backoff)
• 5xx server errors: Retry up to 3 times with 5-second intervals
• Network errors: Retry up to 3 times

Application error codes:

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" \
  -H "X-Source: skills" \
  -d '{
    "source": {
      "type": "url",
      "uri": "https://en.wikipedia.org/wiki/Topology"
    }
  }'

1. Poll until complete:

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

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" \
  -H "X-Source: skills" \
  -d '{
    "source": {
      "type": "url",
      "uri": "https://x.com/elonmusk"
    },
    "options": {
      "twitter": {
        "count": 50
      }
    }
  }'

1. Poll until complete, present results.