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 G1Joshi/Agent-Skills --skill assemblygit clone --depth 1 https://github.com/G1Joshi/Agent-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/g1joshi/agent-skills/assembly)<a href="https://agentmods.dev/skills/g1joshi/agent-skills/assembly"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/assembly/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/g1joshi/agent-skills/assembly"><img src="https://agentmods.dev/badge/skills/g1joshi/agent-skills/assembly.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00018 | $0.00359 |
| Opus 5 | $0.00009 | $0.00179 |
| Sonnet 5 | $0.00004 | $0.00072 |
| Haiku 4.5 | $0.00002 | $0.00036 |
Grade A, and why
assembly 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 5d 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.
What it actually says
Assembly
Low-level language with a very strong correspondence between the instruction in the language and the architecture's machine code instructions.
When to Use
- Operating System Kernels
- Embedded Systems / Microcontrollers
- Reverse Engineering
- Extreme optimization (rarely needed today)
Quick Start (x86_64 Linux)
section .data
msg db "Hello, World!", 0xa
len equ $ - msg
section .text
global _start
_start:
mov rax, 1 ; write syscall
mov rdi, 1 ; stdout
mov rsi, msg ; buffer
mov rdx, len ; length
syscall
mov rax, 60 ; exit syscall
xor rdi, rdi ; exit code 0
syscall
Core Concepts
Registers
Small, fast storage locations directly in the CPU (e.g., RAX, RBX, RIP).
Instructions
Commands executed by the CPU (MOV, ADD, SUB, JMP).
Stack
Region of memory for storing local variables and return addresses (USH, POP).
Best Practices
Do:
- Use comments liberally (assembly is hard to read)
- Follow calling conventions (e.g., System V AMD64 ABI)
- Use descriptive labels
Don't:
- Hand-optimize unless you beat the compiler (unlikely)
- Ignore alignment requirements
References
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.
- 5d ago First seen · 69 lines · 18 tokens per session scan A fa92e15adc2e
assembly is a skill published in the GitHub repository G1Joshi/Agent-Skills (12 stars, last pushed 7mo ago), licensed MIT. It adds 18 tokens to every session and 359 once invoked, about $0.0001 per session on Opus 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 2026-09-03.
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