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 agentmods add skills/dariushoule/x64dbg-skills/shellcode-analyzernpx skills add dariushoule/x64dbg-skills --skill shellcode-analyzergit clone --depth 1 https://github.com/dariushoule/x64dbg-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/dariushoule/x64dbg-skills/shellcode-analyzer)<a href="https://agentmods.dev/skills/dariushoule/x64dbg-skills/shellcode-analyzer"><img src="https://agentmods.dev/badge/skills/dariushoule/x64dbg-skills/shellcode-analyzer.svg" alt="Measured on agentmods" 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 | $0.00058 | $0.02167 |
| Opus 5 | $0.00029 | $0.01084 |
| Sonnet 5 | $0.00012 | $0.00433 |
| Haiku 4.5 | $0.00006 | $0.00217 |
Grade A, and why
shellcode-analyzer 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.
How it starts
The opening of the file, as written. The whole thing — 143 lines — stays where its author put it; the contents beside it link to each section on GitHub.
shellcode-analyzer
Load a raw shellcode blob into x64dbg using a sacrificial process, then optionally unpack, statically analyze, and dynamically analyze it.
Instructions
1. Gather input
Ask the user (via AskUserQuestion) for:
- Shellcode path — absolute path to the raw shellcode file on disk
- x64dbg path — absolute path to the x64dbg/x32dbg binary (if not in memory)
- Bitness — 64-bit or 32-bit (default: 64, but one is not recommended over the other; it depends on the shellcode being analyzed)
Determine the CIP register name: rip for 64-bit, eip for 32-bit.
Determine the debugger variant: x64dbg.exe for 64-bit, x32dbg.exe for 32-bit.
2. Read the shellcode
Read the raw shellcode file as hex via Bash:
python -c "import sys; data=open(sys.argv[1],'rb').read(); print(data.hex())" "<shellcode_path>"
Capture the hex string and note the byte length (len(hex_string) // 2).
3. Launch the debugger
Use mcp__x64dbg__start_session with:
executable_path: path totimeout.exe(typicallyC:\Windows\System32\timeout.exe)x64dbg_path: path to the appropriate x64dbg/x32dbg binary
Always start a new session, do not look for existing sessions. This ensures a clean environment and avoids conflicts with any active debugging sessions.
Note the session PID and x64dbg path from the result. Wait for the debugger to settle — call mcp__x64dbg__get_debugger_status and confirm the debuggee is paused. If running, call mcp__x64dbg__pause.
4. Allocate memory
Allocate a region at least one full page (0x1000 bytes) larger than the shellcode size. Attempt to use static allocation at 0x0000020000000000 for x64 or 0x20000000 for x32, but if that fails, allow the OS to choose the base. This makes it easier for the analyst to refer to addresses in the shellcode without needing to work with relative offsets.
Call mcp__x64dbg__allocate_memory with this size. Record the returned base address.
5. NOP sled (optional)
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 143 lines · 58 tokens per session scan A fc4583f44c39
shellcode-analyzer is a skill published in the GitHub repository dariushoule/x64dbg-skills (204 stars, last pushed 5mo ago), licensed MIT. It adds 58 tokens to every session and 2,167 once invoked, about $0.0003 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 2026-08-30.
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