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dingo-verify

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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.

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How to use this skill

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I want to install this Agent Skill for this project in Codex.

Source SKILL.md: https://github.com/MigoXLab/dingo/blob/HEAD/.claude/skills/dingo-verify/SKILL.md

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First, summarize what it does, its dependencies, license status if identifiable, and any risks. Show the exact files you propose to add under .agents/skills/dingo-verify/. Do not write files or run scripts until I approve.

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Dingo Article Fact-Checker

Verify factual claims in articles using Dingo's ArticleFactChecker agent.

Prerequisites

Before running, verify:

  1. Dingo is installed: python -c "from dingo.config import InputArgs; print('OK')"
  2. OPENAI_API_KEY is set (required)
  3. 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:

  1. Summary: total claims, accuracy score, false/unverifiable counts
  2. False Claims Table: if any false claims found, show claim vs truth vs evidence
  3. All Claims Overview: list all claims with their verdicts (TRUE/FALSE/UNVERIFIABLE)
  4. 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