Citizen Lab Forensics Skill
Digital forensics techniques for detecting device compromise, analyzing malware indicators, and investigating targeted surveillance. Based on methodologies from Citizen Lab's Pegasus Project and Predator investigations.
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Digital forensics techniques for detecting device compromise, analyzing malware indicators, and investigating targeted surveillance. Based on methodologies from Citizen Lab's Pegasus Project and Predator investigations.
Build and query embedded GraphRAG knowledge graphs with DuckDB-backed vector, full-text, and hybrid search. Use when the user wants to store entities and relations, run RAG over a graph, extract knowledge graphs from text with DSPy, run graph algorithms (PageRank, centrality, components), merge/u...
Spherical geometry, great circles, and Riemannian manifolds with Gay.jl coloring.
Provide **full-text search, semantic indexing, and relevance ranking** across all documentation:
Temporal versioning and interaction history with time-travel queries, causality tracking, and deterministic replay
Enable seamless execution and coordination of code across **5 language ecosystems** (Babashka, Julia, Python, OCaml, Scheme) with unified dispatch, data marshalling, and result aggregation. Like Docker Compose for polyglot systems.
Run analytical SQL queries on local files (CSV, Parquet, JSON) using the DuckDB in-process database engine. Enables fast OLAP-style analysis without a server, directly from flat files on disk.
H3 hexagonal indexing, PostGIS-compatible spatial queries, and geographic analysis with GF(3) coloring.
Chaotic interleaving across local DuckDB databases modeled as coupled quadruple pendula. Random walks both BETWEEN databases and WITHIN tables for context injection.
Layer 3: Temporal Versioning and ACSet Schema Generation for DuckDB
Duck-UI provides browser-based DuckDB via WebAssembly:
Interruption pattern detection and retrieval from Amp thread history. Use for analyzing tool rejection patterns and improving agent behavior.
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