Browse Skills

11972 skills across 8 categories

All Skills (11972 found)

๐Ÿงฌ
2026/08/17

BindCraft

BindCraft designs protein binders using end-to-end optimization with built-in AF2 validation. Use it for production-quality binder campaigns with joint backbone and sequence optimization.
AI Engineering
2.9K410
๐Ÿงฌ
2026/08/17

Binder Design

Binder Design helps choose between BoltzGen, BindCraft, RFdiffusion, and Germinal for de novo protein binder design, then guides target preparation, hotspot selection, generation, and filtering with validation metrics.
AI Engineering
2.9K410
๐Ÿงช
2026/08/17

Binding Characterization

Binding Characterization provides guidance for SPR and BLI binding kinetics experiments, helping researchers plan experiments, troubleshoot poor signal, interpret artifacts, and choose between SPR and BLI platforms.
Data
2.9K410
๐Ÿงฌ
2026/08/17

BindingDB Database

BindingDB Database queries BindingDB for measured drug-target binding affinities (Ki, Kd, IC50, EC50) by target (UniProt ID), compound (SMILES/name), or pathogen. Use it for drug discovery, lead optimization, polypharmacology analysis, and structure-activity relationship (SAR) studies.
Data
2.9K410
๐Ÿงฌ
2026/08/17

Bio Alignment Filtering

Bio Alignment Filtering filters SAM/BAM alignments by flags, mapping quality, and genomic regions using samtools and pysam. Use it to extract specific reads, remove low-quality or duplicate alignments, or subset to target regions.
Data
2.9K410
๐Ÿดโ€โ˜ ๏ธ
2026/08/17

Advanced Red Team Ops

Advanced Red Team Ops provides a methodology for red team engagements covering OPSEC, C2 infrastructure, living-off-the-land, lateral movement, persistence, and exfiltration. Use it when planning advanced red team operations or studying APT TTPs.
Quality
2.9K479
โš”๏ธ
2026/08/17

AI Pentest

AI Pentest provides an offensive AI/LLM security checklist covering prompt injection, jailbreaking, model extraction, training data poisoning, adversarial inputs, and AI reconnaissance. Use it when assessing AI/ML systems, red-teaming LLMs, or researching AI attack vectors.
AI Engineering
2.9K479
๐Ÿงจ
2026/08/17

Basic Exploitation

Basic Exploitation teaches foundational Linux exploitation techniques such as controlling EIP/RIP, ROP chain construction, ret2libc, shellcode injection, and heap spraying. Use it when building initial proofs of concept or understanding classic exploitation primitives with mitigations disabled.
Quality
2.9K479
๐Ÿ”
2026/08/17

Bug Identification

Bug Identification provides a systematic methodology for discovering software vulnerabilities through static analysis, dynamic analysis, fuzzing, and AI-assisted techniques. Use it for code audits, bug bounty triage, or building vulnerability identification pipelines.
Quality
2.9K479
๐Ÿ’ฅ
2026/08/17

Crash Analysis

Crash Analysis triages crash dumps and debugger output to determine if a vulnerability is exploitable. Use it when assessing fuzzer crashes, reading stack traces, or identifying root causes with WinDbg, GDB, ASAN, or MSAN.
Quality
2.9K479
๐Ÿ•ต๏ธ
2026/08/17

EDR Evasion

EDR Evasion provides an offensive checklist for hook unhooking, direct syscalls, PPID spoofing, process injection, AMSI bypass, ETW patching, and memory encryption. Use it when planning EDR bypass during red team engagements or researching AV/EDR evasion techniques.
Quality
2.9K479
๐Ÿงช
2026/08/17

Exploit Development

Exploit Development provides a structured course roadmap and syllabus for learning exploit development, covering fuzzing with AFL++ and FuzzTest, vulnerability classes, and advanced exploitation. Use it to structure training, track progress, or onboard new vulnerability researchers.
Quality
2.9K479
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