dy-note
Extracts and organizes Douyin video data, transcripts, comments, metadata, and visual evidence into traceable notes, research briefs, scripts, fact-checks, and reusable knowledge …
Provides a protocol for implementing, validating, benchmarking, and statistically evaluating new covariance, correlation, precision estimators, and covariance scoring rules.
Rigorously and honestly assess a NEW or proposed covariance / correlation / precision estimator, or a new covariance scoring rule, using precise. Use when someone proposes, asks to evaluate, or wants to compare a covariance methodology. Covers implementing it to the contract, conformance, benchmarking against the registry, out-of-sample validation, and statistically defensible inference.
Extracts and organizes Douyin video data, transcripts, comments, metadata, and visual evidence into traceable notes, research briefs, scripts, fact-checks, and reusable knowledge …
Enforces a research workflow requiring source-grounded claims, citations, direct quotations from documents, and explicit acknowledgment when information cannot be verified.
Searches Project Gutenberg via Gutendex, downloads book editions, extracts clean text from TXT or EPUB files, and classifies books as fiction, non-fiction, or ambiguous.
Enables terminal-based browsing of PeerTube instances, including video search, details, comments, channels, accounts, instance statistics, and optional OAuth2 access to the user's…
Guides agents through rigorous research planning, evidence evaluation, analysis, synthesis, reporting, and durable preservation with traceable source-to-claim relationships.
Provides a methodology for formulating, comparing, validating, and auditing constrained optimization decisions using explicit variables, objectives, feasibility rules, tradeoffs, …
Analyzes persuasive messages by decomposing claims, tracing them to authoritative evidence, identifying misleading framing, and reporting calibrated verdicts while separating lite…
Provides rigorous guidance for statistical analysis, experimental design, causal inference, Bayesian methods, machine learning, reproducibility, and research methodology.