dingo-verify

dingo-verify is a skill for Claude Code, Codex from MigoXLab/dingo. It costs 70 tokens per session (770 once invoked), scanned A, original, Apache-2.0.

A tool for checking factual claims in articles and documents using an ArticleFactChecker and web-search evidence. Fact-checking means checking whether statements are supported by reliable information.

In plain words
What is it for?
Use it to verify claims in Markdown, text, JSONL, or JSON articles and produce results for the claims it examines.
Why use it?
It reduces the manual work of finding claims in a document and checking each one against external evidence.

Skill for Claude CodeCodex

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add skills/migoxlab/dingo/dingo-verify
Any agent
npx skills add MigoXLab/dingo --skill dingo-verify
Clone the repo
git clone --depth 1 https://github.com/MigoXLab/dingo

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for dingo-verify

README.md
[![agentmods](https://agentmods.dev/badge/skills/migoxlab/dingo/dingo-verify.svg)](https://agentmods.dev/skills/migoxlab/dingo/dingo-verify)
Your own site
<a href="https://agentmods.dev/skills/migoxlab/dingo/dingo-verify"><img src="https://agentmods.dev/badge/skills/migoxlab/dingo/dingo-verify.svg" alt="Measured on agentmods" height="20"></a>
Per session 70 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 770 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5 $0.00070 $0.00770
Opus 5 $0.00035 $0.00385
Sonnet 5 $0.00014 $0.00154
Haiku 4.5 $0.00007 $0.00077

Measured 5d ago against content hash e5e49a708edd, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

dingo-verify scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/fact_check.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.claude/skills/dingo-verify/SKILL.md · 96 lines

How it starts

The opening of the file, as written. The whole thing — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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/

Read the full file on GitHub · 96 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 5d ago First seen · 96 lines · 70 tokens per session scan A e5e49a708edd

Subscribe to this mod's changes

dingo-verify is a skill published in the GitHub repository MigoXLab/dingo (753 stars, last pushed yesterday), licensed Apache-2.0. It adds 70 tokens to every session and 770 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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