Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Complete Facticity.AI integration - fact-check claims, extract claims from content, transcribe links, check link reliability, check credits, and monitor task...
Complete Facticity.AI integration - fact-check claims, extract claims from content, transcribe links, check link reliability, check credits, and monitor task...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
A comprehensive skill for interacting with the Facticity.AI API. Supports fact-checking claims, extracting claims from text/video, transcribing links, checking link reliability using MediaBias data, checking API credits, and monitoring async task status.
Base URL: https://api.facticity.ai All API endpoints use this base URL. References to {BASE_URL}.
First, check if FACTICITY_API_KEY is set and not empty. If it is missing or empty, return this onboarding message: โ ๏ธ API Key Not Configured To use this skill, you need to set up your Facticity.AI API key: 1. Visit https://app.facticity.ai/api to get your API key 2. Set the key as an environment variable: export FACTICITY_API_KEY=your_api_key_here Or add it to your OpenClaw config (~/.openclaw/openclaw.json): { "skills": { "entries": { "facticity-ai": { "enabled": true, "apiKey": "your_api_key_here" } } } } 3. Restart OpenClaw after configuration Get your API key at: https://app.facticity.ai/api If the API key is present, determine the operation based on the command and proceed:
When the command starts with /fact-check or the input is a claim to fact-check: Endpoint: POST {BASE_URL}/fact-check Headers: X-API-KEY: ${FACTICITY_API_KEY} Content-Type: application/json Body: { "query": "<raw command input (remove /fact-check prefix if present)>", "timeout": 60, "mode": "sync" } Return the JSON response verbatim. The response includes: Classification: "True" or "False" overall_assessment: Detailed assessment text evidence: Array of evidence sources sources: Detailed source assessments bias: Bias metrics (if available) task_id: Task ID for async tracking Usage: /fact-check "Vaccines contain microchips" /fact-check "The unemployment rate dropped in 2023" Async Mode: For long-running fact-checks, set mode: "async" in the request body. The API will return a task_id that can be checked with /check-task-status.
When the command starts with /extract-claim or the input is a URL or text to extract claims from: Endpoint: POST {BASE_URL}/extract-claim Headers: X-API-KEY: ${FACTICITY_API_KEY} Content-Type: application/json Body: { "input": "<raw command input (remove /extract-claim prefix if present)>", "content_type": "text", "timestamp": false, "audio_transcript_enabled": false, "language_code": "en" } Note: For video URLs (YouTube, TikTok, Instagram), the API will auto-detect and transcribe. If you need transcription explicitly enabled, set audio_transcript_enabled: true in the request body. Return the JSON response verbatim. Usage: /extract-claim "The Earth is flat and NASA is lying about it" /extract-claim https://youtube.com/watch?v=abc123 /extract-claim https://tiktok.com/@user/video/123 /extract-claim https://instagram.com/p/abc123 Supported Content Types: Text: Direct text input Video URLs: YouTube, TikTok, Instagram (auto-transcribes) Language: Set language_code for non-English content (default: "en") Response Format: status: "ok" on success transcript: Transcribed content (for video URLs) title: Video/article title (if available) description: Content description (if available) claims: Array of extracted claim strings overall_assessment: Summary of extraction
When the command is /get-credits or user wants to check API credits: Endpoint: GET {BASE_URL}/get-credits Headers: X-API-KEY: ${FACTICITY_API_KEY} No request body required. Return the JSON response verbatim. The response includes: email: User email associated with the API key api_key: The API key (masked) credits_left: Number of credits remaining duration_seconds: Duration period (typically 3600 seconds) Usage: /get-credits Response Format: { "email": "user@example.com", "api_key": "your_api_key_here", "credits_left": 1482, "duration_seconds": 3600 }
When the command starts with /check-task-status or the input is a task ID: Endpoint: GET {BASE_URL}/check-task-status?task_id=<task_id> Headers: X-API-KEY: ${FACTICITY_API_KEY} The raw command input should be the task_id from a previous async fact-check request (remove /check-task-status prefix if present). Query Parameter: task_id: The unique ID of the task to check (from the raw command input) Return the JSON response verbatim. Usage: /check-task-status 1234567890abcdef Or with the task_id from a previous async fact-check: /fact-check "Long claim..." --mode async # Returns task_id: abc123 /check-task-status abc123 Response Format: For completed tasks: { "status": "Completed", "input_query": "Original Input query", "classification": "False", "overall_assessment": "This claim is inaccurate.", "evidence_sources": ["Source 1", "Source 2"], "disambiguation": "Clarifies the context...", "detailed_source_reports": ["Detailed source report 1", "Detailed source report 2"], "task_id": "1234567...", "bias_quality_metrics": [ { "source": "https://www.politico.com", "bias": -5.238666666666666, "quality": 46.45 } ] } For in-progress tasks, returns current status and progress information.
When the command starts with /transcribe-link or the input is a URL to transcribe: Endpoint: POST {BASE_URL}/transcribe-link Headers: X-API-KEY: ${FACTICITY_API_KEY} Content-Type: application/json Body: { "url": "<raw command input (remove /transcribe-link prefix if present)>" } The raw command input should be the URL to transcribe (remove /transcribe-link prefix if present). Return the JSON response verbatim. Usage: /transcribe-link https://youtube.com/watch?v=abc123 /transcribe-link https://tiktok.com/@user/video/123 /transcribe-link https://instagram.com/p/abc123 Response Format: status: "ok" on success transcript: Transcribed content from the link title: Video/article title (if available) description: Content description (if available) duration: Duration of the content (if available)
When the command starts with /link-reliability/check or /check-link-reliability or the input is a URL to check for source reliability: Endpoint: POST {BASE_URL}/link-reliability/check Headers: X-API-KEY: ${FACTICITY_API_KEY} Content-Type: application/json Body: { "url": "<raw command input (remove /link-reliability/check or /check-link-reliability prefix if present)>" } The raw command input should be the URL to check (remove /link-reliability/check or /check-link-reliability prefix if present). Return the JSON response verbatim. The response includes: url: The processed URL bias: Bias score (-42 to +42) quality: Quality score (0 to 64) bias_label: Human-readable bias category quality_label: Human-readable quality category found: Whether the URL was found in MediaBias database Usage: /link-reliability/check https://www.example.com/article /check-link-reliability https://www.bbc.com/news /link-reliability/check https://www.politico.com/story Response Format: { "url": "https://www.example.com/article", "bias": -5.24, "quality": 46.45, "bias_label": "Left-Center Bias", "quality_label": "High Quality", "found": true } Note: If the URL is not found in the MediaBias database, found will be false and bias/quality scores may be null or default values.
Determine which operation to perform based on the command prefix: /fact-check or input looks like a claim โ Fact-Check endpoint /extract-claim or input is a URL โ Extract Claims endpoint /get-credits โ Get Credits endpoint /check-task-status or input is a task ID โ Check Task Status endpoint /transcribe-link or input is a URL โ Transcribe Link endpoint /link-reliability/check or /check-link-reliability or input is a URL โ Check Link Reliability endpoint
Fact-Check: Each request consumes 1 API token Extract Claims: Consumes 1 API token per 1 million characters processed Get Credits: Free, does not consume tokens Check Task Status: Free, does not consume tokens Transcribe Link: Consumes 1 API token per transcription request Check Link Reliability: Consumes 1 API token per request Monitor usage with /get-credits.
Set FACTICITY_API_KEY in your OpenClaw config under skills.entries.facticity-ai.apiKey or as an environment variable. Example config: { "skills": { "entries": { "facticity-ai": { "enabled": true, "apiKey": "YOUR_API_KEY_HERE" } } } } Or set as environment variable: export FACTICITY_API_KEY=your_api_key_here
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