truthcheck
Verify claims, fact-check content, check URL trustworthiness, and trace claims to their origin using the TruthCheck CLI. Use when: (1) user asks to fact-check or verify a claim, (2) user wants to check if a URL/source is trustworthy, (3) user wants to trace where a claim originated, (4) user asks about misinformation or content verification. Requires: pip install truthcheck
Best use case
truthcheck is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Verify claims, fact-check content, check URL trustworthiness, and trace claims to their origin using the TruthCheck CLI. Use when: (1) user asks to fact-check or verify a claim, (2) user wants to check if a URL/source is trustworthy, (3) user wants to trace where a claim originated, (4) user asks about misinformation or content verification. Requires: pip install truthcheck
Teams using truthcheck should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/truthcheck/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How truthcheck Compares
| Feature / Agent | truthcheck | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Verify claims, fact-check content, check URL trustworthiness, and trace claims to their origin using the TruthCheck CLI. Use when: (1) user asks to fact-check or verify a claim, (2) user wants to check if a URL/source is trustworthy, (3) user wants to trace where a claim originated, (4) user asks about misinformation or content verification. Requires: pip install truthcheck
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
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SKILL.md Source
# TruthCheck Skill AI content verification CLI. Verify claims, check URLs, and trace misinformation. ## Installation Via ClawHub (recommended): ```bash npx clawhub install truthcheck ``` Manual: ```bash pip install truthcheck ``` ## Commands ### Verify a claim ```bash truthcheck verify "claim text" --llm gemini ``` - Returns TruthScore 0-100 with breakdown (publisher, content, corroboration, fact-checks) - `--llm` is optional but improves accuracy - Add `--json` for structured output ### Check URL trustworthiness ```bash truthcheck check https://example.com truthcheck check "text with multiple URLs" truthcheck check -f file.txt ``` - Detects hallucinated URLs that don't exist - Rates publisher credibility ### Trace a claim to its origin ```bash truthcheck trace "claim text" # balanced, ~1-2 min truthcheck trace "claim text" --quick # fast, ~30 sec truthcheck trace "claim text" --deep # thorough, ~3-5 min ``` - Finds original source and builds propagation tree ### Look up a publisher ```bash truthcheck lookup "publisher name" ``` ### Sync publisher database ```bash truthcheck sync ``` Run periodically to keep publisher ratings current. ## Interpreting TruthScore | Score | Label | Meaning | |-------|-------|---------| | 80-100 | TRUE | Strong evidence supports the claim | | 60-79 | POSSIBLY TRUE | Some supporting evidence, inconclusive | | 40-59 | UNCERTAIN | Mixed or insufficient evidence | | 20-39 | POSSIBLY FALSE | Evidence leans against the claim | | 0-19 | FALSE | Strong evidence contradicts the claim | ## LLM Integration (Optional) TruthCheck works without any LLM, but adding `--llm` improves content analysis accuracy. ```bash truthcheck verify "some claim" --llm gemini # recommended, fast & free tier truthcheck verify "some claim" --llm openai # GPT models truthcheck verify "some claim" --llm anthropic # Claude models truthcheck verify "some claim" --llm ollama # local models, fully offline ``` **Privacy:** API keys are stored in your local environment only. TruthCheck never sends your keys to any external service — they are used solely for direct API calls to the respective LLM provider. ## Environment Variables | Variable | When needed | Description | |----------|-------------|-------------| | `GEMINI_API_KEY` | `--llm gemini` | Google AI API key (free tier available) | | `OPENAI_API_KEY` | `--llm openai` | OpenAI API key | | `ANTHROPIC_API_KEY` | `--llm anthropic` | Anthropic API key | | `BRAVE_API_KEY` | `--search brave` | Brave Search API key | No keys needed for `--llm ollama` (runs locally) or default DuckDuckGo search. ## Tips - Verify commands can take 15-60 seconds depending on search results - Without `--llm`: basic scoring using publisher reputation, corroboration, and fact-checks - With `--llm`: adds AI content analysis for better accuracy - `--search brave` gives better search results than default DuckDuckGo - For batch verification, loop through claims individually
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