Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add dariushoule/x64dbg-skills/plugin install 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/decompile)<a href="https://agentmods.dev/skills/dariushoule/x64dbg-skills/decompile"><img src="https://agentmods.dev/badge/skills/dariushoule/x64dbg-skills/decompile/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/dariushoule/x64dbg-skills/decompile"><img src="https://agentmods.dev/badge/skills/dariushoule/x64dbg-skills/decompile.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 | $0.00014 | $0.00640 |
| Opus 5 | $0.00007 | $0.00320 |
| Sonnet 5 | $0.00003 | $0.00128 |
| Haiku 4.5 | $0.00001 | $0.00064 |
Grade A, and why
decompile 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 11d 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
decompile
Decompile a function from the debugged binary into C-like pseudocode using angr.
If no address is specified, decompiles the function containing the current instruction pointer. Accepts an address or symbol name as an argument.
Instructions
Follow these steps exactly:
1. Check prerequisites
Run pip show angr via Bash. If angr is not installed, tell the user:
angr is not installed. Install it with
pip install angr(requires Python >= 3.10). Note: angr is a large package (~500MB+).
Then stop.
2. Verify debugger connection
Call mcp__x64dbg__get_debugger_status to confirm the debugger is connected and paused. If not debugging, tell the user and stop.
3. Determine target function address
If the user provided an address or symbol as an argument:
- If it looks like a hex address, use it directly
- If it looks like a symbol name, resolve it via
mcp__x64dbg__eval_expression
If no argument was provided:
- Get the current instruction pointer via
mcp__x64dbg__get_register(registerripfor 64-bit,eipfor 32-bit) - Use the current RIP/EIP value as the target address
Call this resolved value target_addr.
4. Resolve module path and compute RVA
Use mcp__x64dbg__eval_expression to evaluate:
mod.path(target_addr)— to get the on-disk path of the module containing the addressmod.base(target_addr)— to get the module's base address
Compute the RVA: target_addr - module_base
If mod.path fails, the address may not belong to a loaded module. Tell the user and stop.
5. Run the decompile script
Execute:
python "${CLAUDE_PLUGIN_ROOT}\skills\decompile\decompile.py" --binary "<module_path>" --address <rva_hex>
Where:
<module_path>is the on-disk path from step 4<rva_hex>is the RVA in hex (e.g.0x1060)
The script may take 10-30 seconds for large binaries (CFG generation is the bottleneck). Use a timeout of at least 120 seconds.
6. Present results
The script outputs decompiled C pseudocode to stdout and status messages to stderr.
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.
- 11d ago First seen · 70 lines · 14 tokens per session scan A 38ad6d288d42
decompile is a skill published in the GitHub repository dariushoule/x64dbg-skills (204 stars, last pushed 6mo ago), licensed MIT. It adds 14 tokens to every session and 640 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 2026-08-30.
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