Sopaper Evidence

Evidence-first research workflow for evidence discovery, source verification, and citation grounding. Use when the task requires searching, verifying, and or...

This package appears coherent with its stated goal of building evidence-led research packs. Before installing or running it, (1) review the bundled scripts that fetch external URLs to confirm you are comfortable with network access and which domains will be contacted; (2) run the scripts in a controlled environment (e.g., sandbox or project-specific workspace) so they only read project files you expect to share; (3) confirm the upstream GitHub repo (https://github.com/sheepxux/SoPaper-Evidence) if you want the original source and to inspect recent commits; and (4) note a minor oddity in an example source list (a TradingView Webhooks URL) — likely accidental example noise but worth a quick grep for unexpected external endpoints before trusting automated fetches.

Type: OpenClaw Skill Name: sopaper-evidence Version: 1.0.0 The 'sopaper-evidence' bundle is a research-oriented toolset designed to automate evidence discovery and citation verification for academic writing. It contains Python scripts for querying legitimate research APIs (OpenAlex, GitHub) and fetching web content to extract metadata, which is consistent with its stated goal of preventing AI hallucinations. While the bundle includes capabilities for network requests (fetch_external_sources.py) and local file processing (build_evidence_ledger.py), the logic is transparent, lacks obfuscation, and follows a structured workflow focused on research integrity. No evidence of malicious intent, credential theft, or unauthorized data exfiltration was detected.