sandbornm
- 6 skills
- 0 followers
- 19 hours ago last updated
- ▌ Tufte Data Viz · sandbornmMake data visualizations potent in the tradition of Edward Tufte's "The Visual Display of Quantitative Information." Use BEFORE building ANY chart, graph, plot, table, diagram, dashboard, coverage bar, stat callout, or node-link graphic — in HTML/SVG, a plotting library, or an artifact. Triggers: "chart", "graph", "plot", "visualization", "dashboard", "make it potent / Tufte-style", "data-ink", "small multiples", "sparkline", "bipartite", "coverage bars", or any request to show quantities visually.
- ▌ Unslop · sandbornm bundleUse when writing or editing prose a person will read — docs, READMEs, PR descriptions, commit messages, reports, summaries, plans, code comments, chat replies — or when asked to "unslop", simplify, de-jargon, plain-language, or clean up text that sounds like a machine wrote it. Triggers: "it's not X, it's Y", "not just X but Y", "load-bearing", "byte-identical", "surface area", "leverage", "utilize", "delve", "it's important to note", "at the end of the day", stacked nouns, SAT words used for polish, hedge stacking, manufactured profundity, inflated significance, rule-of-three lists.
- ▌ Crash Triage · sandbornm bundleTriages and classifies program crashes by bug class and exploitability. Use when reviewing a crashing input, an AddressSanitizer report, a GDB/LLDB backtrace, or a core dump; when deciding whether a crash is a real memory-safety bug worth reporting or a benign input rejection; or when prioritizing a batch of fuzzer-found crashes. Reproduces a PoC under sanitizers/debugger and emits a severity-ranked verdict.
- ▌ Angr Analyzer · sandbornm bundleAnalyzes binaries using angr's Python framework for static analysis, symbolic execution, and vulnerability detection. Use when decompiling executables, recovering control flow graphs, finding vulnerabilities via symbolic execution, or analyzing stripped binaries without source access.
- ▌ Pcap Analyzer · sandbornm bundleAnalyzes network captures (pcap/pcapng) for digital forensics and reverse engineering. Use when examining packet captures, extracting network artifacts, investigating incidents, analyzing malware C2 traffic, or reconstructing network activity from capture files.
- ▌ Frida Instrument · sandbornm bundleInstruments running binaries using Frida's dynamic analysis toolkit. Use when tracing function calls at runtime, hooking APIs, inspecting process memory, enumerating loaded modules, or performing instruction-level tracing on live processes.