puzle-read（谜题读）

Puzle Read Skill

Save web articles, documents and files to your personal reading library powered by Puzle. AI analyzes the full text and enables semantic search across everything you've read.

First-time Setup (show this on skill install)

When this skill is first activated, immediately greet the user and guide them through setup:

1. Check if a token is already configured:

   from puzle_reading import PuzleReadingClient
   if PuzleReadingClient.token_is_configured():
       # Token exists, ready to go

If yes, tell the user: "Puzle Read Skill is ready! You can send me any URL, file, or text and I'll save it to your reading library. You can also search across everything you've read."

1. If no token is configured, walk the user through device authorization:

- Tell the user: "To get started, I need to connect to your Puzle account." - Ask the user to open https://read-web.puzle.com.cn/device-auth in their browser and log in - The page will display a device authorization code — ask the user to copy and paste that code back - Once the user provides the code, exchange it for a token:

     PuzleReadingClient.exchange_device_code(code)
     # Token is saved internally — never returned or exposed

- Confirm to the user: "Connected to Puzle successfully!"

1. After setup is complete, briefly explain what the skill can do:

- "You can now send me any URL, article, PDF, or text and I'll save it to your Puzle reading library. I can also summarize articles, search across your readings, and more. Just try sending me a link!"

Prerequisites

The bundled Client SDK lives at scripts/puzle_reading.py relative to this skill directory. It requires the requests library and can be used as a Python library or a standalone CLI tool.

As a Python library:

import sys
sys.path.insert(0, "<this-skill-directory>/scripts")
from puzle_reading import PuzleReadingClient

As a CLI tool:

python3 <this-skill-directory>/scripts/puzle_reading.py <command> [options]

CLI Reference

The SDK doubles as a command-line tool. All data commands output JSON to stdout; errors go to stderr.

puzle_reading <command> [options]

Commands:
  auth <code>             Exchange a device authorization code for a token
                          (get code at https://read-web.puzle.com.cn/device-auth)
  status                  Check whether a valid token is configured
  save-url <url>          Create a reading from a URL
  save-file <path>        Create a reading from a local file
                          (PDF, TXT, MD, CSV, JPG, PNG, WebP, GIF, MP3, WAV)
  save-html               Create a reading from pre-fetched HTML content
    --url URL             Original URL (required)
    --title TITLE         Article title (required)
    --content CONTENT     Body HTML string, or "@path" to read from file (required)
    --text-content TEXT   Plain text version, or "@path" to read from file (required)
    --excerpt EXCERPT     Short excerpt
    --byline BYLINE       Author name
    --site-name NAME      Site name
    --published-time TIME ISO datetime string
  list                    List readings in your library
    --page N              Page number (default: 1)
    --page-size N         Items per page (default: 10, max: 100)
  detail <id> <type>      Get full detail of a reading (type: link | file)
  wait <id> <type>        Wait for processing to complete, then print detail
    --timeout SECS        Max seconds to wait (default: 120)
    --interval SECS       Poll interval (default: 3)
  search <query>          Semantic search across your readings
    --top-k N             Max results (default: 5)
    --reading-ids IDS     Comma-separated reading IDs to restrict scope

CLI Examples

# First-time authorization
./puzle_reading.py auth "abc123-device-code"

# Check auth status
./puzle_reading.py status

# Save a URL
./puzle_reading.py save-url "https://example.com/article"

# Upload a PDF
./puzle_reading.py save-file ~/Documents/paper.pdf

# Save pre-fetched HTML (content from file)
./puzle_reading.py save-html \
  --url "https://example.com/article" \
  --title "Article Title" \
  --content @/tmp/body.html \
  --text-content @/tmp/body.txt

# List recent readings
./puzle_reading.py list --page 1 --page-size 20

# Get detail of a specific reading
./puzle_reading.py detail 42 link

# Wait for processing to complete
./puzle_reading.py wait 42 link --timeout 90

# Search across all readings
./puzle_reading.py search "attention mechanism" --top-k 10

# Search within specific readings
./puzle_reading.py search "transformer" --reading-ids 1,2,3

Token Management

Token is stored in ~/.config/puzle/config.json with file permission 0o600 (owner read/write only). The only way to obtain a token is through the device authorization code exchange flow.

Token confidentiality rules:

• NEVER output, display, log, or echo the JWT token in any form
• NEVER accept a raw JWT token from the user — if a user pastes a JWT (starts with eyJ...),

refuse it and guide them through the device auth flow instead

• NEVER set the token as an environment variable
• The token is managed exclusively by the SDK internally (_save_token / _load_token are private)

User needs to authorize (no token or token expired)

Guide them through device authorization:

1. Ask the user to open https://read-web.puzle.com.cn/device-auth and log in
2. The page displays a device authorization code — ask the user to paste that code back
3. Exchange the code for a token:

   PuzleReadingClient.exchange_device_code(code)
   # Token is saved internally — never returned or exposed
   client = PuzleReadingClient()  # now auto-loads the saved token

1. Confirm: "Connected to Puzle successfully!"

Note: The authorization code is short-lived and single-use — it is safe for users to paste into the conversation. The actual JWT token never appears in chat history.

Token already configured (most common case)

Once a token has been saved, all subsequent calls work automatically — no need to ask the user again:

client = PuzleReadingClient()  # auto-reads from ~/.config/puzle/config.json

You can check beforehand:

if not PuzleReadingClient.token_is_configured():
    # Guide the user through device authorization
    ...

Token expired (401 error)

The token is valid for approximately 7 days. When you receive PuzleAPIError(code=401):

1. Tell the user their token has expired
2. Guide them through device authorization again (see "User needs to authorize" above)
3. Exchange the new code: PuzleReadingClient.exchange_device_code(code)

Two Modes of Use

Mode A: Save for later ("Read It Later")

When the user just wants to save content — no need to wait for processing. Create the reading, give user the web link, done.

result = client.create_reading_from_url("https://example.com/article")
# result.web_url → "https://read.puzle.com.cn/read/42"
# Tell the user: "Saved! You can view it here: {result.web_url}"

Use this mode when:

• "save this" / "bookmark" / "read it later" / "store this link"
• "save all of these" — batch-saving multiple links
• User uploads a file but doesn't ask for any analysis — "just store this PDF"
• User shares a link in passing without asking a question about its content
• "keep it for later"

Mode B: Analyze now (background processing)

When the user wants to understand, summarize, or work with the content, processing takes 30–90 seconds. To avoid blocking the conversation:

1. Create the reading and immediately give user the web link
2. Spawn a background task / subagent to run wait_for_reading() + analysis
3. When the background task completes, present the result to the user

# Step 1: Create and immediately respond to user
result = client.create_reading_from_url("https://example.com/article")
# Tell user: "Processing now. You can preview it here: {result.web_url}"

# Step 2: In a background task / subagent, wait and analyze
detail = client.wait_for_reading(result.reading_id, result.resource_type)
content = detail["data"]["content"]
# Generate summary / answer questions based on content

# Step 3: When done, present results to user

Why background processing? wait_for_reading() blocks for 30–90 seconds. Running it in a subagent or background process keeps the conversation responsive. The user gets the web link instantly and can start reading there, while the analysis runs in parallel.

Use this mode when:

• "what does this article say" / "summarize this" / "give me a summary"
• "what are the key findings in this PDF" — need to read and analyze
• "compare the viewpoints of these two articles" — need content from multiple readings
• User asks a specific question about the article content
• You need to search across readings afterwards

When to Use Which Method

User shares a URL — Decision Chain

When the user gives you a link, do NOT call create_reading_from_url() directly. Try the following approaches in order, falling through to the next step only on failure:

User sends a URL
  │
  ▼
┌─────────────────────────────────────────────────┐
│ Step 1: Fetch the page yourself                 │
│                                                 │
│ Use WebFetch, browser, or any available tool    │
│ to retrieve the page content.                   │
│                                                 │
│ Success (got meaningful content)?               │
│   → Extract using readability (or use the       │
│     tool's formatted output directly)           │
│   → Extract: title, body HTML, plain text,      │
│     author, site name                           │
│   → Call create_reading_from_html()             │
│   ✅ Done                                       │
│                                                 │
│ Benefits of this approach:                      │
│ - Skips Puzle's fetching phase, faster          │
│ - Handles JS-rendered dynamic pages             │
│ - Handles pages with anti-scraping measures     │
│ - Higher content quality (you can preprocess)   │
└────────────┬────────────────────────────────────┘
             │ Failed: empty content, 401/403,
             │ auth wall, login required, timeout
             ▼
┌─────────────────────────────────────────────────┐
│ Step 2: Check for internal/specialized tools    │
│                                                 │
│ The URL might be an internal or auth-protected  │
│ resource. Look in the environment for tools     │
│ that can access it:                             │
│ - MCP servers for internal docs (Confluence,    │
│   Notion, Google Docs, etc.)                    │
│ - API endpoints that can fetch internal content │
│ - Authenticated browser sessions                │
│                                                 │
│ Found a tool and got content?                   │
│   → Save content as a local file (.html / .md)  │
│   → Call create_reading_from_file()             │
│   ✅ Done                                       │
└────────────┬────────────────────────────────────┘
             │ No suitable tool, or still failed
             ▼
┌─────────────────────────────────────────────────┐
│ Step 3: Fallback — let Puzle server fetch it    │
│                                                 │
│ Call create_reading_from_url(url)               │
│ Puzle backend handles fetching and parsing.     │
│ This may still fail for auth-protected pages,   │
│ but it's the last resort.                       │
│ ✅ Done                                         │
└─────────────────────────────────────────────────┘

Step 1 readability extraction example:

# Assume you've fetched the page HTML using WebFetch or similar tools
raw_html = fetch_result  # full HTML

# Extract body content (use any available readability tool or extract manually)
# You need: title, content (HTML), text_content (plain text)

result = client.create_reading_from_html(
    url=original_url,
    title=extracted_title,
    content=extracted_html,       # body HTML
    text_content=extracted_text,  # plain text version
    byline=author,               # optional
    site_name=site_name,          # optional
)

When to skip directly to Step 3 (no need to attempt Step 1/2):

• User explicitly says "let Puzle fetch it" or "use the URL method"
• Batch-saving multiple links (efficiency over quality — no need to fetch each one individually)

User provides content directly — create_reading_from_html()

User has a local file — create_reading_from_file()

search() — User wants to find something in their readings

list_readings() — User wants to browse their collection

get_reading_detail() — Need content of a known reading

Core Concepts

Available Methods

All create_reading_* methods return a ReadingResult with a web_url field (e.g. https://read.puzle.com.cn/read/42) — always share this link with the user.

1. Create reading from URL

result = client.create_reading_from_url("https://example.com/article")
print(result.web_url)  # → "https://read.puzle.com.cn/read/42"

2. Create reading from HTML (pre-fetched content)

Use when the content has already been scraped — skips the fetching phase, so processing is faster.

result = client.create_reading_from_html(
    url="https://example.com/article",
    title="Article Title",
    content="<div>Raw HTML...</div>",
    text_content="Plain text version...",
    # Optional: excerpt, byline, site_name, published_time
)
detail = client.wait_for_reading(result.reading_id, result.resource_type)

3. Create reading from local file

Supported types: PDF, TXT, MD, CSV, JPG, PNG, WebP, GIF, MP3, WAV

result = client.create_reading_from_file("/path/to/document.pdf")
detail = client.wait_for_reading(result.reading_id, result.resource_type)

The SDK automatically handles MD5 calculation and S3 upload internally.

If the user provides pure text, private docs, or other text material, you can save them as a local file and use this method to create a reading.

4. Get reading detail

detail = client.get_reading_detail(reading_id=42, resource_type="link")
# detail["data"]["status"]  — check processing state
# detail["data"]["content"] — full HTML (available when status == "done")
# detail["data"]["title"]   — extracted title

Use resource_type="file" for file-based readings. The SDK routes to the correct endpoint.

5. List readings

readings = client.list_readings(page=1, page_size=10)
for item in readings["data"]["items"]:
    print(f"[{item['resource_type']}] {item['title']} — {item['status']}")
# readings["data"]["total"] — total count across all pages

Returns a mixed list of link and file readings, sorted by most recent first.

6. Semantic search

# Search across all readings
hits = client.search("attention mechanism in NLP", top_k=5)

# Search within specific readings only
hits = client.search("transformer architecture", reading_ids=[1, 2, 3])

for hit in hits["data"]["items"]:
    print(f"[{hit['reading_title']}] (score: {hit['score']:.3f})")
    print(f"  {hit['chunk_text'][:200]}...")

Each result contains: reading_id, reading_title, resource_type, chunk_text, score.

Workflow Examples

Save a link for later (Mode A)

result = client.create_reading_from_url("https://example.com/interesting-article")
# Tell user: "Saved! You can view it here: {result.web_url}"

Batch save multiple links (Mode A)

urls = ["https://article1.com", "https://article2.com", "https://article3.com"]
results = [client.create_reading_from_url(url) for url in urls]
# Tell user: "All 3 articles saved to your reading library:"
# for r in results: print(r.web_url)

Summarize an article (Mode B — background)

# Step 1: Create and respond immediately
result = client.create_reading_from_url("https://arxiv.org/abs/1706.03762")
# Tell user: "Analyzing the article. You can preview it here: {result.web_url}"

# Step 2: In background task / subagent
detail = client.wait_for_reading(result.reading_id, result.resource_type)
content = detail["data"]["content"]
# Generate summary, then present to user when ready

Upload and analyze a local PDF (Mode B — background)

result = client.create_reading_from_file("~/Documents/research-paper.pdf")
# Tell user: "File uploaded, processing: {result.web_url}"

# In background task / subagent
detail = client.wait_for_reading(result.reading_id, result.resource_type)
content = detail["data"]["content"]
# Analyze, then present results to user

Save user's text as a reading (Mode A)

When the user provides raw text (notes, memos, etc.), save it as a temp file first:

import tempfile
with tempfile.NamedTemporaryFile(mode="w", suffix=".md", delete=False) as f:
    f.write(user_provided_text)
    temp_path = f.name
result = client.create_reading_from_file(temp_path)
# Tell user: "Saved to your reading library: {result.web_url}"

Search across all readings

hits = client.search("attention mechanism", top_k=5)
for hit in hits["data"]["items"]:
    print(f"[{hit['reading_title']}] {hit['chunk_text'][:100]}...")

Find and re-read a past article

readings = client.list_readings(page=1, page_size=20)
# Show user titles so they can pick one
# Then get full content:
detail = client.get_reading_detail(reading_id=42, resource_type="link")
content = detail["data"]["content"]

Error Handling

API response format: The Puzle backend always returns HTTP 200. Errors are indicated by the code field in the JSON body, with the error message in msg:

{"code": 401002, "msg": "Invalid or expired device code", "timestamp": 1775111299}

Success responses have code: 200 and include a data field.

The SDK raises PuzleAPIError with .code and .msg attributes for all API errors.

Constraints

• Processing takes 30–90 seconds — only call wait_for_reading() when you need the content (Mode B)
• JWT tokens expire every 7 days — re-authorize via device auth when expired
• File upload link is valid for 1 hour
• page_size max is 100 for list_readings

Data Privacy

Uploaded files (PDFs, images, audio, etc.) and web article content are sent to the Puzle service for processing and storage. Before uploading on behalf of the user, inform them that:

• Content will be transmitted to and stored by the Puzle service
• Users should not upload sensitive, confidential, or regulated data without verifying the

service's privacy and data retention policies

• The service URL is hardcoded to https://read-web.puzle.com.cn and cannot be overridden