时事日报分析

MCP Tools

An AI-assisted international news reporting tool that helps generate professional daily reports through structured workflows and multi-source verification frameworks. IMPORTANT: This is NOT a fully automated/unattended system. It requires an AI agent (like Claude, GPT, or WorkBuddy) to execute the core information gathering steps using web search tools. The bundled scripts provide: - Structured data models for source tiering and verification - PDF report generation from Markdown - Report templates and formatting utilities - Source directory references Use this skill when you need: - Structured workflows for international news reporting - Multi-tier source verification frameworks (Tier 1-4) - Professional PDF report generation - Standardized templates for daily news summaries Requires: AI agent with web search capabilities for data collection

Install

openclaw skills install daily-news-reporter

Daily News Reporter

AI-Assisted international news reporting toolkit with structured workflows and multi-source verification.

⚠️ Important Clarification

This skill is NOT a fully automated/unattended system. It operates as an AI-assisted workflow toolkit:

Component	What It Does	Who/What Executes
`news_collector.py`	Data models, source classification, verification logic	AI Agent uses these structures
`generate_pdf.py`	Converts Markdown reports to PDF	Runs automatically
`SKILL.md`	Workflow instructions for AI	AI follows these guidelines
Web Search	Actual information gathering	AI Agent executes via search tools
Analysis	Content analysis and insight generation	AI Agent performs

Bottom line: This skill provides the framework and tools for professional news reporting, but requires an AI agent with web search capabilities to perform the actual data collection and analysis.

Overview

This skill provides structured workflows and utilities for generating professional daily international affairs reports:

Structured Information Collection - Tiered source system and verification frameworks
Source Verification Guidelines - Cross-reference methodologies and reliability indicators
Content Analysis Framework - Impact assessment and trend analysis guidelines
Report Generation Tools - Markdown-to-PDF conversion and templates

When to Use

Use this skill when:

You need structured workflows for international news reporting
You want consistent multi-tier source verification (Tier 1-4 system)
You need professional PDF report generation from Markdown
You want standardized templates for daily news summaries
You're an AI agent helping a user generate news reports

Do NOT expect: Fully automated, unattended 24/7 news monitoring without AI involvement.

Core Workflow (AI-Executed)

Step 1: Information Collection (AI Agent Executes)

The AI agent performs web searches using the tiered source guidance:

Search Guidance for AI:

Use web search tools to query current news
Prioritize Tier 1 sources when available
Collect 6-10 sources across different tiers
Document source URLs and timestamps

Tier 1 - Official/International Organizations (Reliability: 5/5)

UN News (news.un.org)
International Maritime Organization (imo.org)
Central bank official statements (federalreserve.gov, etc.)
Government foreign ministry statements

Tier 2 - Professional Financial Media (Reliability: 4-5/5)

Bloomberg, Reuters, CNBC
Trading Economics
金十数据 (for Chinese market perspective)

Tier 3 - Mainstream International Media (Reliability: 4/5)

CNN, BBC, AP News
Major national news outlets

Tier 4 - Regional/Industry Sources (Reliability: 2-3/5)

Local news for specific regions
Industry publications
Use with caution, require verification

Recommended Search Queries:

"[Date] international news global hot topics"
"[Organization] latest statement [topic]"
"[Market/commodity] price [date] latest"
"site:un.org [topic]"  # For official sources
"site:federalreserve.gov latest"

Step 2: Information Processing (AI Agent Executes)

Source Verification (AI performs):

Cross-reference key facts across minimum 2 independent sources
Prioritize Tier 1 sources for critical information
Flag information from Tier 3-4 sources with reliability indicators
Use news_collector.py data structures to organize sources

Structured Information Format:

Event:
  - Time: [timestamp with timezone]
  - Location: [specific location]
  - Key Actors: [entities involved]
  - Verified Facts: [from Tier 1-2 sources]
  - Context: [background from multiple sources]
  - Impact: [market/geopolitical analysis]

Step 3: Content Analysis (AI Agent Executes)

Impact Assessment Framework:

Severity	Criteria	Examples
⭐⭐⭐⭐⭐	Global impact, major powers involved, market shock	War escalation, central bank policy shifts
⭐⭐⭐⭐	Regional impact, economic consequences	Energy supply disruptions, trade conflicts
⭐⭐⭐	Localized but significant	National policy changes, major corporate events
⭐⭐	Limited impact	Routine diplomatic activities
⭐	Minor interest	Local news, minor incidents

Trend Analysis Guidelines:

Identify patterns across multiple events
Compare with historical precedents
Assess trajectory (escalating/stable/de-escalating)

Step 4: Report Generation (AI + Scripts)

AI Actions:

Populate report template with collected data
Apply source attribution tags ([Official], [Professional], etc.)
Write analysis and insights
Save as Markdown file

Automated Script Execution:

# Convert Markdown to PDF (runs automatically)
python scripts/generate_pdf.py --input report.md --output report.pdf

Source Reliability Framework

Tier 1 - Official/International (Reliability: 5/5)

Use for: Critical facts, official statements, verified data
Examples: UN agencies, central banks, government statements
Attribution tag: [Official], [Organization name]

Tier 2 - Professional Financial (Reliability: 4-5/5)

Use for: Market data, economic analysis, policy interpretation
Examples: Bloomberg, Reuters, Trading Economics
Attribution tag: [Professional], [Source name]

Tier 3 - Mainstream Media (Reliability: 4/5)

Use for: Event coverage, general news, context
Examples: CNN, BBC, major national outlets
Attribution tag: [International], [Source name]

Tier 4 - Regional/Industry (Reliability: 2-3/5)

Use for: Supplementary context, specific angles
Examples: Local news, industry blogs
Attribution tag: [Regional/Industry], [Source name], verification recommended

Scripts and Utilities

news_collector.py

Purpose: Data models and structures for source management Usage:

from scripts.news_collector import NewsCollector, NewsItem, NewsSource

collector = NewsCollector()
sources = collector.get_sources_by_topic('energy')
# Use data structures to organize collected information

Note: This is a data structure utility, NOT an automated web scraper.

generate_pdf.py

Purpose: Convert Markdown reports to professionally formatted PDF Usage:

python scripts/generate_pdf.py --input report.md --output report.pdf

Note: This runs automatically, no AI involvement required.

Source Directory (references/source_directory.md)

Purpose: Reference list of recommended information sources Usage: AI consults this when planning search strategy

Report Templates

Templates available in assets/templates/:

daily_report_template.md - Standard daily report format with placeholders
Use as starting point, AI fills in content

Best Practices for AI Agents

Always verify critical information across at least 2 Tier 1-2 sources
Timestamp all data with timezone and source publication time
Distinguish facts from analysis - clearly label opinions/forecasts
Include contradictory information when sources disagree, with attribution
Update risk assessments based on new developments
Archive sources - maintain links/references for fact-checking
Be honest about limitations - acknowledge when information is incomplete

Quality Checklist

Before finalizing report:

All Tier 1 facts verified with official sources
Market data from Tier 2 financial sources
Impact ratings justified with evidence
Contradictory information noted
Source attribution complete with tier tags
Timestamps accurate
PDF generated successfully
No placeholder text remaining
Clear distinction between facts and AI analysis

Limitations and Disclaimers

System Limitations

NOT unattended/fully automated - Requires AI agent for data collection
Information delayed by search indexing (typically 1-2 hours)
Cannot access paywalled content
Language limitations for non-English/non-Chinese sources

Content Limitations

Analysis based on publicly available information
Predictions subject to rapid change in volatile situations
No real-time data feeds - relies on search tools
Source availability depends on search engine indexing

Appropriate Use

✅ AI-assisted research and reporting
✅ Structured news summaries
✅ Educational/analytical purposes
✅ Personal information aggregation

Inappropriate Use

❌ Unattended automated news service
❌ Real-time trading decisions without verification
❌ Replacement for professional journalism
❌ Source of truth for critical decisions without human review

Example Usage

User Request: "Generate today's international news report"

AI Agent Execution:

Read SKILL.md to understand workflow
Use web search tools to query current news (6-10 sources)
Apply tiered verification framework
Structure information using news_collector.py patterns
Write analysis following impact assessment guidelines
Generate Markdown using template
Run generate_pdf.py to create PDF
Present both formats to user

Output: Professional daily report in Markdown and PDF formats

Technical Requirements

For AI Agent

Web search capability (web_search tool or equivalent)
Ability to read and execute Python scripts
Markdown processing capability
PDF viewing/verification capability

For Script Execution

Python 3.8+
reportlab library (pip install reportlab)
Standard library only for news_collector.py

Files Included

daily-news-reporter/
├── SKILL.md                          # This file - workflow instructions
├── scripts/
│   ├── news_collector.py            # Data structures (not a scraper)
│   └── generate_pdf.py              # PDF generation tool
├── references/
│   └── source_directory.md          # Source reference list
└── assets/
    └── templates/
        └── daily_report_template.md # Report template

License and Attribution

This skill provides frameworks and tools for news reporting. Users are responsible for:

Verifying information accuracy
Complying with source website terms of service
Proper attribution of quoted sources
Responsible use of generated content

Summary

Feature	Status	Notes
Automated PDF generation	✅ Yes	`generate_pdf.py`
Structured workflows	✅ Yes	SKILL.md guidelines
Source tiering framework	✅ Yes	Tier 1-4 system
Automated web scraping	❌ No	AI performs searches
Unattended 24/7 operation	❌ No	Requires AI agent
Real-time data feeds	❌ No	Search-based only

Bottom line: This is an AI-assisted toolkit, not a fully autonomous news bot.