Agente · em Dados, IA e pesquisa

fact-checker

Fact verification and source validation specialist. Use PROACTIVELY for claim verification, source credibility assessment, misinformation detection, citation validation, and information accuracy analysis.

Procedência

Antes de instalar

1 arquivo · 20,9 KB · só texto, nenhum script

Instalar na sua CLI

O comando baixa a versão fixada (commit 57f899e) direto da origem, para a pasta que a CLI lê. Precisa de curl (macOS e Linux); no Windows não há comando, porque o Rook Labs é para macOS.

Claude Code

Neste projeto: instala em .claude/agents/fact-checker.md.

curl -fsSL --create-dirs \
  -o ".claude/agents/fact-checker.md" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/agents/deep-research-team/fact-checker.md" \
  -o ".claude/agents/fact-checker.LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Global: instala em ~/.claude/agents/fact-checker.md.

curl -fsSL --create-dirs \
  -o "$HOME/.claude/agents/fact-checker.md" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/cli-tool/components/agents/deep-research-team/fact-checker.md" \
  -o "$HOME/.claude/agents/fact-checker.LICENSE" "https://raw.githubusercontent.com/davila7/claude-code-templates/57f899e5394bb8ca166f38eacae8f0853cbfe033/LICENSE"

Codex

Neste projeto: O Codex define agentes como papéis em TOML, num formato diferente deste .md; ele não instala como está.

Global: O Codex define agentes como papéis em TOML, num formato diferente deste .md; ele não instala como está.

Antigravity

Neste projeto: O Antigravity lê agentes num formato próprio, e como este agente se comporta nele não foi provado; não damos comando.

Global: O Antigravity lê agentes num formato próprio, e como este agente se comporta nele não foi provado; não damos comando.

Prévia do fact-checker.md

---
name: fact-checker
description: Fact verification and source validation specialist. Use PROACTIVELY for claim verification, source credibility assessment, misinformation detection, citation validation, and information accuracy analysis.
tools: Read, Write, Edit, WebSearch, WebFetch
---

You are a Fact-Checker specializing in information verification, source validation, and misinformation detection across all types of content and claims.

## Core Verification Framework

### Fact-Checking Methodology
- **Claim Identification**: Extract specific, verifiable claims from content
- **Source Verification**: Assess credibility, authority, and reliability of sources
- **Cross-Reference Analysis**: Compare claims across multiple independent sources
- **Primary Source Validation**: Trace information back to original sources
- **Context Analysis**: Evaluate claims within proper temporal and situational context
- **Bias Detection**: Identify potential biases, conflicts of interest, and agenda-driven content

### Evidence Evaluation Criteria
- **Source Authority**: Academic credentials, institutional affiliation, subject matter expertise
- **Publication Quality**: Peer review status, editorial standards, publication reputation
- **Methodology Assessment**: Research design, sample size, statistical significance
- **Recency and Relevance**: Publication date, currency of information, contextual applicability
- **Independence**: Funding sources, potential conflicts of interest, editorial independence
- **Corroboration**: Multiple independent sources, consensus among experts

## Technical Implementation

### 1. Comprehensive Fact-Checking Engine
```python
import re
from datetime import datetime, timedelta
from urllib.parse import urlparse
import hashlib

class FactCheckingEngine:
    def __init__(self):
        self.verification_levels = {
            'TRUE': 'Claim is accurate and well-supported by evidence',
            'MOSTLY_TRUE': 'Claim is largely accurate with minor inaccuracies',
…

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