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Binary Analysis Patterns

CommunityPopular
rmyndharis
binary-analysis-patterns

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.

Overview

Publisherrmyndharis
Repositoryantigravity-skills
Skill namebinary-analysis-patterns
Stars
1.6K
Forks
264
Bundled files
Instructions only
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by rmyndharis on GitHub. Read the source before you install it.

Installation

Install the Binary Analysis Patterns AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/rmyndharis/antigravity-skills.git /tmp/antigravity-skills
mkdir -p .claude/skills
cp -r /tmp/antigravity-skills/skills/binary-analysis-patterns .claude/skills/binary-analysis-patterns
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Binary Analysis Patterns in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Binary Analysis Patterns on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Binary Analysis Patterns is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Binary Analysis Patterns

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

Use this skill when

  • Working on binary analysis patterns tasks or workflows
  • Needing guidance, best practices, or checklists for binary analysis patterns

Do not use this skill when

  • The task is unrelated to binary analysis patterns
  • You need a different domain or tool outside this scope

Instructions

  • Clarify goals, constraints, and required inputs.
  • Apply relevant best practices and validate outcomes.
  • Provide actionable steps and verification.

Disassembly Fundamentals

x86-64 Instruction Patterns

Function Prologue/Epilogue
asm
; Standard prologue
push rbp           ; Save base pointer
mov rbp, rsp       ; Set up stack frame
sub rsp, 0x20      ; Allocate local variables

; Leaf function (no calls)
; May skip frame pointer setup
sub rsp, 0x18      ; Just allocate locals

; Standard epilogue
mov rsp, rbp       ; Restore stack pointer
pop rbp            ; Restore base pointer
ret

; Leave instruction (equivalent)
leave              ; mov rsp, rbp; pop rbp
ret
Calling Conventions

System V AMD64 (Linux, macOS)

asm
; Arguments: RDI, RSI, RDX, RCX, R8, R9, then stack
; Return: RAX (and RDX for 128-bit)
; Caller-saved: RAX, RCX, RDX, RSI, RDI, R8-R11
; Callee-saved: RBX, RBP, R12-R15

; Example: func(a, b, c, d, e, f, g)
mov rdi, [a]       ; 1st arg
mov rsi, [b]       ; 2nd arg
mov rdx, [c]       ; 3rd arg
mov rcx, [d]       ; 4th arg
mov r8, [e]        ; 5th arg
mov r9, [f]        ; 6th arg
push [g]           ; 7th arg on stack
call func

Microsoft x64 (Windows)

asm
; Arguments: RCX, RDX, R8, R9, then stack
; Shadow space: 32 bytes reserved on stack
; Return: RAX

; Example: func(a, b, c, d, e)
sub rsp, 0x28      ; Shadow space + alignment
mov rcx, [a]       ; 1st arg
mov rdx, [b]       ; 2nd arg
mov r8, [c]        ; 3rd arg
mov r9, [d]        ; 4th arg
mov [rsp+0x20], [e] ; 5th arg on stack
call func
add rsp, 0x28

ARM Assembly Patterns

ARM64 (AArch64) Calling Convention
asm
; Arguments: X0-X7
; Return: X0 (and X1 for 128-bit)
; Frame pointer: X29
; Link register: X30

; Function prologue
stp x29, x30, [sp, #-16]!  ; Save FP and LR
mov x29, sp                 ; Set frame pointer

; Function epilogue
ldp x29, x30, [sp], #16    ; Restore FP and LR
ret
ARM32 Calling Convention
asm
; Arguments: R0-R3, then stack
; Return: R0 (and R1 for 64-bit)
; Link register: LR (R14)

; Function prologue
push {fp, lr}
add fp, sp, #4

; Function epilogue
pop {fp, pc}    ; Return by popping PC

Control Flow Patterns

Conditional Branches

asm
; 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

asm
; 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

asm
; 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

asm
; 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

c
struct Example {
    int a;      // offset 0
    char b;     // offset 4
    // padding  // offset 5-7
    long c;     // offset 8
    short d;    // offset 16
};
asm
; 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

asm
; 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

asm
; 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

asm
; 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

asm
; 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

asm
; 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

asm
; 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

asm
; 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

java
// 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

python
# 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

python
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

Frequently asked questions

What does the Binary Analysis Patterns AI skill do?

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.

Why use Binary Analysis Patterns on TypingMind?

Because you install it once and use it with any model. Binary Analysis Patterns is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Binary Analysis Patterns in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/rmyndharis/antigravity-skills/tree/main/skills/binary-analysis-patterns. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Binary Analysis Patterns?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Binary Analysis Patterns?

As many as you like. As long as a model supports skills, you can use Binary Analysis Patterns with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Binary Analysis Patterns AI skill free?

Yes. It is published on GitHub by rmyndharis under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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