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source-verification来源验证

Agent Skill

source-verification 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:source-verification(来源验证)
来源仓库:https://github.com/jamditis/claude-skills-journalism
仓库路径:skills/source-verification
安装命令:
npx skills add https://github.com/jamditis/claude-skills-journalism --skill source-verification
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/jamditis/claude-skills-journalism --skill source-verification

简介

用于验证新闻报道、声明或数据引用的真实性。

  • 适合交叉比对多方信源、识别偏见或检测误导信息。
  • 使用时需提供需确认陈述及初步信息来源。source-verification 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 安装前建议确认宿主是否连接可信数据库。
  • 不能保证 100% 准确,需结合人工判断。

SKILL.md

Source verification methodology

Systematic approaches for verifying sources, claims, and digital content in journalism and research.

Verification framework

The SIFT method

S - Stop: Don't immediately share or use unverified information I - Investigate the source: Who is behind the information? F - Find better coverage: What do other reliable sources say? T - Trace claims: Find the original source of the claim

Source credibility checklist

## Source evaluation template

### Basic identification
- [ ] Full name/organization identified
- [ ] Contact information verifiable
- [ ] Professional credentials checkable
- [ ] Online presence consistent across platforms

### Expertise assessment
- [ ] Relevant expertise for the claim being made
- [ ] Track record in this subject area
- [ ] Recognized by peers in the field
- [ ] No history of spreading misinformation

### Motivation analysis
- [ ] Potential conflicts of interest identified
- [ ] Financial stake in the outcome?
- [ ] Political or ideological motivation?
- [ ] Personal grievance involved?

### Corroboration
- [ ] Can claims be independently verified?
- [ ] Do other credible sources confirm?
- [ ] Is documentary evidence available?
- [ ] Are there contradicting sources?

Digital verification techniques

Social media account analysis

## Account verification checklist

### Account age and history
- Creation date (older accounts more credible)
- Posting frequency and patterns
- Gaps in activity (dormant then suddenly active?)
- Language consistency over time

### Network analysis
- Follower/following ratio
- Quality of followers (real accounts vs. bots)
- Interaction patterns (who engages with them?)
- Mutual connections with verified accounts

### Content patterns
- Original content vs. reshares only
- Topics discussed consistently
- Geographic indicators in posts
- Time zone of posting activity

### Red flags
- Recently created account making bold claims
- Sudden pivot in topics or tone
- Coordinated behavior with other accounts
- Stock photo profile picture
- Generic bio with no specifics

Reverse image search workflow

## Image verification process

### Step 1: Reverse image search
Tools to use:
- Google Images (images.google.com)
- TinEye (tineye.com)
- Yandex Images (yandex.com/images) - best for faces
- Bing Visual Search

### Step 2: Check metadata (EXIF)
- Original capture date/time
- Camera/device information
- GPS coordinates (if available)
- Software used to edit

Tools:
- Jeffrey's EXIF Viewer (exif.regex.info)
- FotoForensics (fotoforensics.com)
- InVID verification plugin

### Step 3: Analyze image content
- Weather conditions (match reported date?)
- Shadows (consistent with time of day?)
- Signage/text (correct language for location?)
- Architecture (matches claimed location?)
- Clothing (seasonal appropriateness?)

### Step 4: Find original source
- Earliest appearance online
- Original photographer/source
- Context of first publication
- Has it been used in other contexts?

Video verification

## Video verification checklist

### Technical analysis
- [ ] Resolution consistent throughout
- [ ] Audio sync matches video
- [ ] No visible editing artifacts
- [ ] Lighting consistent across frames
- [ ] Shadows behave naturally

### Content analysis
- [ ] Location identifiable and verifiable
- [ ] Time indicators (sun position, shadows)
- [ ] Weather matches historical records
- [ ] Background details consistent
- [ ] People's clothing appropriate for context

### Metadata check
- [ ] Upload date vs. claimed event date
- [ ] Original source identified
- [ ] Chain of custody traceable
- [ ] Multiple angles available?

### Tools
- InVID/WeVerify browser extension
- YouTube DataViewer (citizenevidence.amnestyusa.org)
- Frame-by-frame analysis tools

Document verification

PDF and document analysis

## Document verification steps

### Metadata examination
- Creation date and modification history
- Author information
- Software used to create
- Embedded fonts and images

### Visual inspection
- Consistent formatting throughout
- Font matching (no spliced text)
- Alignment of text and images
- Quality consistent across pages
- Signatures appear authentic

### Content verification
- Dates internally consistent
- Names spelled correctly throughout
- Reference numbers valid
- Contact information verifiable
- Letterhead matches known examples

### Provenance
- How was document obtained?
- Chain of custody documented?
- Original vs. copy?
- Can source provide additional context?

Building a verification trail

Documentation template

## Verification record

**Claim being verified:**
[State the specific claim]

**Source of claim:**
- Name/account:
- Platform:
- Date first seen:
- URL (archived):

**Verification steps taken:**

### Step 1: [Description]
- Action taken:
- Tool/method used:
- Result:
- Screenshot/evidence saved: [filename]

### Step 2: [Description]
- Action taken:
- Tool/method used:
- Result:
- Screenshot/evidence saved: [filename]

[Continue for each step]

**Corroborating sources:**
1. [Source 1] - [What it confirms]
2. [Source 2] - [What it confirms]
3. [Source 3] - [What it confirms]

**Contradicting information:**
1. [Source] - [What it contradicts]

**Confidence assessment:**
- [ ] Verified true
- [ ] Likely true (high confidence)
- [ ] Unverified (insufficient evidence)
- [ ] Likely false (contradicting evidence)
- [ ] Verified false

**Reasoning:**
[Explain your conclusion based on evidence]

**Verification completed by:**
**Date:**

Archiving evidence

Web archiving best practices

# Save URLs to multiple archives for redundancy
ARCHIVE_SERVICES = [
    'https://web.archive.org/save/',           # Internet Archive
    'https://archive.ph/',                      # Archive.today
    'https://perma.cc/',                        # Perma.cc (requires account)
]

def archive_url(url: str) -> dict:
    """Archive URL to multiple services."""
    results = {}

    # Internet Archive
    try:
        response = requests.get(f'https://web.archive.org/save/{url}')
        if response.status_code == 200:
            results['wayback'] = response.url
    except Exception as e:
        results['wayback_error'] = str(e)

    # Archive.today (requires different approach)
    # ... implementation

    return results

Screenshot documentation

## Screenshot best practices

1. **Full page capture**: Use browser extensions for full-page screenshots
2. **Include URL bar**: Shows the source URL
3. **Include timestamp**: System clock visible or add manually
4. **Save metadata**: Note when and how captured
5. **Multiple formats**: Save as PNG (lossless) and PDF
6. **Secure storage**: Hash files and store securely

Recommended tools:
- Hunchly (hunch.ly) - automatic capture and logging
- Screenpresso - full page with annotations
- Browser print-to-PDF - includes URL and date

Interview verification

Pre-interview source check

## Source background check

### Public records
- [ ] Professional licenses verified
- [ ] Court records checked
- [ ] Business registrations confirmed
- [ ] Property records (if relevant)
- [ ] Campaign finance records (if political)

### Professional background
- [ ] LinkedIn profile reviewed
- [ ] Employer confirmed
- [ ] Previous employers contacted
- [ ] Published work reviewed
- [ ] Conference appearances verified

### Social media audit
- [ ] All platforms identified
- [ ] Post history reviewed
- [ ] Connections/followers analyzed
- [ ] Previous statements on topic
- [ ] Any deleted content found?

### Media appearances
- [ ] Previous interviews found
- [ ] Consistency with current claims
- [ ] Other journalists' assessments
- [ ] Any retractions or corrections?

During interview verification

## Real-time verification techniques

### Document requests
- Ask for documentation during interview
- Verify documents aren't altered
- Request originals, not copies when possible
- Note document condition and provenance

### Specific detail probing
- Ask for specific dates, names, locations
- Request corroborating witnesses
- Ask "How do you know that?"
- Follow up on vague answers

### Consistency checks
- Note initial version of story
- Return to key points later
- Compare details across tellings
- Flag inconsistencies for follow-up

### Recording best practices
- Get consent (check local laws)
- Use reliable recording equipment
- Backup recording in real-time
- Note non-verbal cues separately

Verification resources

Essential tools

ToolPurposeURL
InVID/WeVerifyVideo verification pluginweverify.eu
TinEyeReverse image searchtineye.com
Wayback MachineWeb archivesweb.archive.org
CrowdTangleSocial media trackingcrowdtangle.com
HoaxyClaim spread visualizationhoaxy.osome.iu.edu
Media Bias/Fact CheckSource reliabilitymediabiasfactcheck.com
OpenCorporatesCompany recordsopencorporates.com
OCCRP AlephDocument searchaleph.occrp.org

Training resources

  • First Draft News (firstdraftnews.org)
  • Bellingcat guides (bellingcat.com/resources)
  • Google News Initiative (newsinitiative.withgoogle.com)
  • Verification Handbook (verificationhandbook.com)
  • SPJ ethics resources (spj.org/ethics)

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