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PQS scores any prompt before the model runs. 8 dimensions. 5 frameworks. Pre-flight, not post-hoc.
Why recommended
Scored from trust, install, risk, and community signals.
Real outcomes: sample pending
Secure filesystem access for AI agents with configurable directory and file type restrictions
Run Hansl/Gretl econometrics workflows via MCP with GUI launch and artifacts.
MCP server for Argo RPG Platform — connects AI assistants to campaign data via OAuth2
Rosetta/PyRosetta protein modeling and Biotite translation for computational biology
Connect Strava training data to Claude for training load analysis and activity insights
Scrape GitHub repository metadata, stars, forks, topics, licences and activity. Pay per row.
Codebase intelligence for AI coding agents — graph, git history, docs, decisions, code health.
Token-efficient browser agent for local LLMs. Playwright + accessibility tree + MarkGrab.
Web page change tracking with structured diffs. markgrab + snapgrab integration.
Schema-driven document extraction with local OCR + LLM. Document in, Structured JSON out.
Local semantic search — embedding-powered grep for files, zero external services.
