| name | dingo-verify |
| description | Use when the user wants to fact-check an article or verify factual claims in a document. Triggers on: "fact-check", "verify article", "check facts", "文章事实核查", "验证文章". Runs Dingo's ArticleFactChecker via SDK to extract and verify all factual claims with web search evidence.
|
| argument-hint | ["article-path"] |
| allowed-tools | Bash Read Glob |
Dingo Article Fact-Checker
Verify factual claims in articles using Dingo's ArticleFactChecker agent.
Prerequisites
Before running, verify:
- Dingo is installed:
python -c "from dingo.config import InputArgs; print('OK')"
OPENAI_API_KEY is set (required)TAVILY_API_KEY is set (optional, enables web search verification)
If prerequisites fail, help the user fix them:
- Missing dingo:
pip install -e . (from project root) or pip install dingo-python
- Missing LangChain:
pip install -r requirements/agent.txt
- Missing API key:
export OPENAI_API_KEY='your-key'
Usage
Run the fact-check script with the article path:
python ${CLAUDE_SKILL_DIR}/scripts/fact_check.py $ARGUMENTS
Optional arguments
--model MODEL: Override LLM model (default: env OPENAI_MODEL or gpt-5.4-mini)--max-claims N: Max claims to extract (default: 50, reduce for faster runs)--max-concurrent N: Parallel verification slots (default: 5)
Supported file formats
.md, .txt: Markdown/plaintext articles (auto-wrapped for Dingo).jsonl: JSONL with {"content": "..."} per line.json: JSON array format
Presenting Results
The script outputs JSON to stdout. Parse it and present to the user:
Success output
Present a formatted report with these sections:
- Summary: total claims, accuracy score, false/unverifiable counts
- False Claims Table: if any false claims found, show claim vs truth vs evidence
- All Claims Overview: list all claims with their verdicts (TRUE/FALSE/UNVERIFIABLE)
- Output Path: where the full Dingo report is saved
Example presentation:
## Article Fact-Check Report
**Accuracy**: 73.3% (11/15 claims verified true)
- Verified True: 11
- Verified False: 2
- Unverifiable: 2
### False Claims Found
| # | Article Claimed | Actual Truth | Evidence |
|---|----------------|-------------|----------|
| 1 | "released in Nov 2024" | Released Dec 5, 2024 | Official announcement |
### Full Report
Saved to: outputs/20260318_143022_abc123/
Error output
If the script exits with code 1, it prints error JSON to stderr.
Read the error and hint fields and help the user resolve the issue.
Performance Notes
- Single article: typically 2-5 minutes depending on claim count and model speed
- Progress is printed to stderr during execution
- For faster runs: use
--max-claims 10 --model gpt-5.4-mini
Advanced Configuration
For model selection, claim types, and tuning options, see:
references/advanced-config.md
