dingo-verify - SKILL.md Agent Skill

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. Requires OPENAI_API_KEY. TAVILY_API_KEY is optional but recommended for web search. license: Apache-2.0 compatibility: "Python 3.10+. Install: pip install "dingo-python[agent]"" metadata: {"openclaw":{"requires":{"bins":["python3"],"env":["OPENAI_API_KEY"]},"primaryEnv":"OPENAI_API_KEY","emoji":"🔍","os":["darwin","linux"],"homepage":"https://github.com/DataEval/dingo","install":[{"kind":"uv","package":"dingo-python[agent]"}]}}

Dingo Article Fact-Checker

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

Prerequisites

Before running, verify:

Dingo is installed: python3 -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 dingo-python or pip install -e . (from project root)
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:

python3 {baseDir}/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