adverse-media
Search for negative news coverage, controversies, and reputational risks associated with individuals or companies across news sources and media databases
Best use case
adverse-media is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Search for negative news coverage, controversies, and reputational risks associated with individuals or companies across news sources and media databases
Teams using adverse-media should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/adverse-media/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How adverse-media Compares
| Feature / Agent | adverse-media | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Search for negative news coverage, controversies, and reputational risks associated with individuals or companies across news sources and media databases
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Adverse Media Screening Skill
## Purpose
This skill searches for negative news, controversies, scandals, and reputational risks associated with entities across global news sources and media databases.
## When to Use This Skill
Activate this skill when the user:
- Requests adverse media or negative news screening
- Asks about controversies or scandals involving an entity
- Needs reputational risk assessment
- Wants to check media coverage of a person or company
- Uses keywords like: "adverse media", "negative news", "scandals", "controversies", "bad press"
## How to Use
### 1. Identify Search Target
- Extract entity name
- Note time period if specified
- Consider name variations and aliases
### 2. Run Adverse Media Search
```bash
cd /Users/superfunguy/wsp/scolo/backend
python -c "from src.tools import adverse_media; import json; result = adverse_media.check('ENTITY_NAME'); print(json.dumps(result, indent=2))"
```
### 3. Analyze Results
Categories of adverse media:
- **Financial Crime**: Fraud, money laundering, embezzlement
- **Corruption**: Bribery, kickbacks, political corruption
- **Legal Issues**: Lawsuits, regulatory violations, arrests
- **Ethical Concerns**: Environmental damage, labor violations
- **Reputational**: Scandals, controversies, negative publicity
## Examples
### Example: Check Company Reputation
**User**: "Any negative news about Wells Fargo?"
**Action**:
```bash
python -c "from src.tools import adverse_media; import json; result = adverse_media.check('Wells Fargo'); print(json.dumps(result, indent=2))"
```
## Important Notes
- Consider source credibility and bias
- Distinguish between allegations and confirmed facts
- Check publication dates for relevance
- Multiple sources strengthen findingsRelated Skills
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