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binary-analysis-patterns

Master binary analysis patterns including disassembly, decompilation, control flow analysis, and code pattern recognition

Install / Use

npx skills add wshobson/agents --skill binary-analysis-patterns

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

98/100

Supported Platforms

Universal

Tags

Our assessment of binary-analysis-patterns

binary-analysis-patterns scores 98/100 on our quality scale, 59th of 1,753 Development & Engineering skills we index (top 4%).

Its SKILL.md is 7.7 KB long, well organised into 30 sections with 16 code examples: a thorough specification that gives an agent plenty to work with.

With 39,920 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
29/30
Structure
20/20
Description
15/15
Adoption
20/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated 4 days ago, so binary-analysis-patterns is actively maintained.
  • It is released under the MIT license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.

Automated pattern scan on 2026-09-25. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

binary-analysis-patterns compared with similar skills

All 4 of these similar skills score higher than binary-analysis-patterns; compare them before choosing.

SkillScoreStarsUpdatedFormat
binary-analysis-patterns (this skill)by wshobson9839.9k4d agoSKILL.md
ai-job-searchby MadsLorentzen10043.9k4d agoCLAUDE.md
claude-howtoby luongnv8910041.7k5d agoCLAUDE.md
algorithmic-artby anthropics100177.9k2d agoSKILL.md
pptxby anthropics100177.9k2d agoSKILL.md

Frequently asked questions

How do I install binary-analysis-patterns?
Run npx skills add wshobson/agents --skill binary-analysis-patterns. The install tabs above show the steps for each supported agent.
Which AI agents does binary-analysis-patterns work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is binary-analysis-patterns safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is MIT-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is binary-analysis-patterns still maintained?
The repository was last updated 4 days ago, so binary-analysis-patterns is actively maintained.

name: binary-analysis-patterns description: Master binary analysis patterns including disassembly, decompilation, control flow analysis, and code pattern recognition. Use when analyzing executables, understanding compiled code, or performing static analysis on binaries.

Binary Analysis Patterns

Comprehensive patterns and techniques for analyzing compiled binaries, understanding assembly code, and reconstructing program logic.

When to Use This Skill

  • Reverse-engineering an unknown executable to understand its behavior
  • Analyzing malware or obfuscated binaries with Ghidra / IDA Pro / Binary Ninja
  • Recognizing common assembly idioms (function prologues, switch tables, vtable dispatch)
  • Reconstructing high-level control flow from compiled code
  • Identifying compiler-introduced patterns (stack canaries, PIC trampolines)

Detailed section: Disassembly Fundamentals

Originally a 2047-byte section in this SKILL.md. Moved to references/details.md to fit Codex's 8 KB skill body cap.

Control Flow Patterns

Conditional Branches

; if (a == b)
cmp eax, ebx
jne skip_block
; ... if body ...
skip_block:

; if (a < b) - signed
cmp eax, ebx
jge skip_block    ; Jump if greater or equal
; ... if body ...
skip_block:

; if (a < b) - unsigned
cmp eax, ebx
jae skip_block    ; Jump if above or equal
; ... if body ...
skip_block:

Loop Patterns

; for (int i = 0; i < n; i++)
xor ecx, ecx           ; i = 0
loop_start:
cmp ecx, [n]           ; i < n
jge loop_end
; ... loop body ...
inc ecx                ; i++
jmp loop_start
loop_end:

; while (condition)
jmp loop_check
loop_body:
; ... body ...
loop_check:
cmp eax, ebx
jl loop_body

; do-while
loop_body:
; ... body ...
cmp eax, ebx
jl loop_body

Switch Statement Patterns

; Jump table pattern
mov eax, [switch_var]
cmp eax, max_case
ja default_case
jmp [jump_table + eax*8]

; Sequential comparison (small switch)
cmp eax, 1
je case_1
cmp eax, 2
je case_2
cmp eax, 3
je case_3
jmp default_case

Data Structure Patterns

Array Access

; array[i] - 4-byte elements
mov eax, [rbx + rcx*4]        ; rbx=base, rcx=index

; array[i] - 8-byte elements
mov rax, [rbx + rcx*8]

; Multi-dimensional array[i][j]
; arr[i][j] = base + (i * cols + j) * element_size
imul eax, [cols]
add eax, [j]
mov edx, [rbx + rax*4]

Structure Access

struct Example {
    int a;      // offset 0
    char b;     // offset 4
    // padding  // offset 5-7
    long c;     // offset 8
    short d;    // offset 16
};
; Accessing struct fields
mov rdi, [struct_ptr]
mov eax, [rdi]         ; s->a (offset 0)
movzx eax, byte [rdi+4] ; s->b (offset 4)
mov rax, [rdi+8]       ; s->c (offset 8)
movzx eax, word [rdi+16] ; s->d (offset 16)

Linked List Traversal

; while (node != NULL)
list_loop:
test rdi, rdi          ; node == NULL?
jz list_done
; ... process node ...
mov rdi, [rdi+8]       ; node = node->next (assuming next at offset 8)
jmp list_loop
list_done:

Common Code Patterns

String Operations

; strlen pattern
xor ecx, ecx
strlen_loop:
cmp byte [rdi + rcx], 0
je strlen_done
inc ecx
jmp strlen_loop
strlen_done:
; ecx contains length

; strcpy pattern
strcpy_loop:
mov al, [rsi]
mov [rdi], al
test al, al
jz strcpy_done
inc rsi
inc rdi
jmp strcpy_loop
strcpy_done:

; memcpy using rep movsb
mov rdi, dest
mov rsi, src
mov rcx, count
rep movsb

Arithmetic Patterns

; Multiplication by constant
; x * 3
lea eax, [rax + rax*2]

; x * 5
lea eax, [rax + rax*4]

; x * 10
lea eax, [rax + rax*4]  ; x * 5
add eax, eax            ; * 2

; Division by power of 2 (signed)
mov eax, [x]
cdq                     ; Sign extend to EDX:EAX
and edx, 7              ; For divide by 8
add eax, edx            ; Adjust for negative
sar eax, 3              ; Arithmetic shift right

; Modulo power of 2
and eax, 7              ; x % 8

Bit Manipulation

; Test specific bit
test eax, 0x80          ; Test bit 7
jnz bit_set

; Set bit
or eax, 0x10            ; Set bit 4

; Clear bit
and eax, ~0x10          ; Clear bit 4

; Toggle bit
xor eax, 0x10           ; Toggle bit 4

; Count leading zeros
bsr eax, ecx            ; Bit scan reverse
xor eax, 31             ; Convert to leading zeros

; Population count (popcnt)
popcnt eax, ecx         ; Count set bits

Decompilation Patterns

Variable Recovery

; Local variable at rbp-8
mov qword [rbp-8], rax  ; Store to local
mov rax, [rbp-8]        ; Load from local

; Stack-allocated array
lea rax, [rbp-0x40]     ; Array starts at rbp-0x40
mov [rax], edx          ; array[0] = value
mov [rax+4], ecx        ; array[1] = value

Function Signature Recovery

; Identify parameters by register usage
func:
    ; rdi used as first param (System V)
    mov [rbp-8], rdi    ; Save param to local
    ; rsi used as second param
    mov [rbp-16], rsi
    ; Identify return by RAX at end
    mov rax, [result]
    ret

Type Recovery

; 1-byte operations suggest char/bool
movzx eax, byte [rdi]   ; Zero-extend byte
movsx eax, byte [rdi]   ; Sign-extend byte

; 2-byte operations suggest short
movzx eax, word [rdi]
movsx eax, word [rdi]

; 4-byte operations suggest int/float
mov eax, [rdi]
movss xmm0, [rdi]       ; Float

; 8-byte operations suggest long/double/pointer
mov rax, [rdi]
movsd xmm0, [rdi]       ; Double

Ghidra Analysis Tips

Improving Decompilation

// In Ghidra scripting
// Fix function signature
Function func = getFunctionAt(toAddr(0x401000));
func.setReturnType(IntegerDataType.dataType, SourceType.USER_DEFINED);

// Create structure type
StructureDataType struct = new StructureDataType("MyStruct", 0);
struct.add(IntegerDataType.dataType, "field_a", null);
struct.add(PointerDataType.dataType, "next", null);

// Apply to memory
createData(toAddr(0x601000), struct);

Pattern Matching Scripts

# Find all calls to dangerous functions
for func in currentProgram.getFunctionManager().getFunctions(True):
    for ref in getReferencesTo(func.getEntryPoint()):
        if func.getName() in ["strcpy", "sprintf", "gets"]:
            print(f"Dangerous call at {ref.getFromAddress()}")

IDA Pro Patterns

IDAPython Analysis

import idaapi
import idautils
import idc

# Find all function calls
def find_calls(func_name):
    for func_ea in idautils.Functions():
        for head in idautils.Heads(func_ea, idc.find_func_end(func_ea)):
            if idc.print_insn_mnem(head) == "call":
                target = idc.get_operand_value(head, 0)
                if idc.get_func_name(target) == func_name:
                    print(f"Call to {func_name} at {hex(head)}")

# Rename functions based on strings
def auto_rename():
    for s in idautils.Strings():
        for xref in idautils.XrefsTo(s.ea):
            func = idaapi.get_func(xref.frm)
            if func and "sub_" in idc.get_func_name(func.start_ea):
                # Use string as hint for naming
                pass

Best Practices

Analysis Workflow

  1. Initial triage: File type, architecture, imports/exports
  2. String analysis: Identify interesting strings, error messages
  3. Function identification: Entry points, exports, cross-references
  4. Control flow mapping: Understand program structure
  5. Data structure recovery: Identify structs, arrays, globals
  6. Algorithm identification: Crypto, hashing, compression
  7. Documentation: Comments, renamed symbols, type definitions

Common Pitfalls

  • Optimizer artifacts: Code may not match source structure
  • Inline functions: Functions may be expanded inline
  • Tail call optimization: jmp instead of call + ret
  • Dead code: Unreachable code from optimization
  • Position-independent code: RIP-relative addressing

Related Skills

View on GitHub
GitHub Stars39.9k
CategoryDevelopment
Updated4d ago
Forks4.3k

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions