daily-news-reporter（每日新闻记者）

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:

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:

1. Structured Information Collection - Tiered source system and verification frameworks
2. Source Verification Guidelines - Cross-reference methodologies and reliability indicators
3. Content Analysis Framework - Impact assessment and trend analysis guidelines
4. 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:

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:

1. Populate report template with collected data
2. Apply source attribution tags ([Official], [Professional], etc.)
3. Write analysis and insights
4. 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

1. Always verify critical information across at least 2 Tier 1-2 sources
2. Timestamp all data with timezone and source publication time
3. Distinguish facts from analysis - clearly label opinions/forecasts
4. Include contradictory information when sources disagree, with attribution
5. Update risk assessments based on new developments
6. Archive sources - maintain links/references for fact-checking
7. 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:

1. Read SKILL.md to understand workflow
2. Use web search tools to query current news (6-10 sources)
3. Apply tiered verification framework
4. Structure information using news_collector.py patterns
5. Write analysis following impact assessment guidelines
6. Generate Markdown using template
7. Run generate_pdf.py to create PDF
8. 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

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