Antigravity Skill Vault is a collection of reusable Agent Skills for Google Antigravity, covering software development, operations, security, and business work. It is for people who want Antigravity agents to follow specialized expertise, personas, and structured workflows. The catalogue skills are entries from this collection.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add rmyndharis/antigravity-skills --skill binary-analysis-patternsgit clone --depth 1 https://github.com/rmyndharis/antigravity-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/rmyndharis/antigravity-skills/binary-analysis-patterns)<a href="https://agentmods.dev/skills/rmyndharis/antigravity-skills/binary-analysis-patterns"><img src="https://agentmods.dev/badge/skills/rmyndharis/antigravity-skills/binary-analysis-patterns/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/rmyndharis/antigravity-skills/binary-analysis-patterns"><img src="https://agentmods.dev/badge/skills/rmyndharis/antigravity-skills/binary-analysis-patterns.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00043 | $0.02955 |
| Opus 5.5 | $0.00017 | $0.01182 |
| Sonnet 5.5 | $0.00009 | $0.00591 |
| Haiku 4.5 | $0.00004 | $0.00296 |
Grade A, and why
binary-analysis-patterns scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
Copies of this mod
3 near-identical copies found in the catalogue:
- binary-analysis-patterns — 97% identical, 1 lines differ
- binary-analysis-patterns — 94% identical, 5 lines differ
- binary-analysis-patterns — 86% identical, 114 lines differ
How it starts
The opening of the file, as written. The whole thing — 450 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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
; 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)
; 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)
; 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
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 450 lines · 43 tokens per session scan A 3af358711b90
binary-analysis-patterns is a skill published in the GitHub repository rmyndharis/antigravity-skills (1,809 stars, last pushed 5d ago), licensed MIT. It adds 43 tokens to every session and 2,955 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
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analyzing-linux-system-artifacts
Examine Linux system artifacts including auth logs, cron jobs, shell history, and system configuration to uncover evidence of compromise or unauthorized activity.
api-fuzzing-bug-bounty
Provide comprehensive techniques for testing REST, SOAP, and GraphQL APIs during bug bounty hunting and penetration testing engagements. Covers vulnerability discovery, authentication bypass, IDOR exploitation, and API-specific attack vectors.
api-security-testing
API security testing workflow for REST and GraphQL APIs covering authentication, authorization, rate limiting, input validation, and security best practices.
analyzing-windows-prefetch-with-python
Parse Windows Prefetch files using the windowsprefetch Python library to reconstruct application execution history, detect renamed or masquerading binaries, and identify suspicious program execution patterns.
debugging-expert
Professional Debugging Expert skill. Build performant, secure, and scalable backend logic and RESTful or GraphQL APIs.