Borrowing it
Nothing to install: this file belongs to dariushoule/x64dbg-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/dariushoule/x64dbg-skills/main/CLAUDE.mdgit 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/instructions/dariushoule/x64dbg-skills/claude-md)<a href="https://agentmods.dev/instructions/dariushoule/x64dbg-skills/claude-md"><img src="https://agentmods.dev/badge/instructions/dariushoule/x64dbg-skills/claude-md/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/instructions/dariushoule/x64dbg-skills/claude-md"><img src="https://agentmods.dev/badge/instructions/dariushoule/x64dbg-skills/claude-md.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 | $0.00503 | $0.00503 |
| Opus 5 | $0.00251 | $0.00251 |
| Sonnet 5 | $0.00101 | $0.00101 |
| Haiku 4.5 | $0.00050 | $0.00050 |
Grade A, and why
x64dbg-skills CLAUDE.md 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.
What it actually says
x64dbg-skills
Claude Code plugin providing skills for x64dbg debugger automation.
Structure
skills/— Skill definitions (SKILL.md files define each skill's steps and allowed tools)- Each skill folder contains its own Python script (e.g.
skills/decompile/decompile.py) .claude-plugin/— Plugin metadata (plugin.json,marketplace.json).claude/settings.local.json— Default permission grants for x64dbg MCP tools
Skills
/state-snapshot— Captures all committed memory regions + registers to disk/state-diff— Compares two snapshots and explains what changed/decompile— Decompiles a function to C pseudocode via angr/yara-sigs— Scans snapshot memory dumps with YARA signatures (packers, crypto, anti-debug, etc.)/tracealyzer— Traces execution and analyzes the recorded instruction log/shellcode-analyzer— Loads, unpacks, and analyzes shellcode in x64dbg/find-oep— Smart trace-based OEP finder for packed/protected PEs (heuristic OEP discovery + state snapshot)/vuln-hunter— Hunts for vulnerabilities via import/export recon, attack surface triage, and iterative bug hunting with PoC generation
Key Patterns
- Skills that require raw
X64DbgClientaccess disconnect the MCP client before running Python scripts (only one ZMQ client allowed at a time), then reconnect after- Python scripts can use the
x64dbg_automatepackage andX64DbgClientto communicate directly with x64dbg - Skills should only communicate directly when MCP access would be poor use of context, slow, or generally innefficient
- Python scripts can use the
- Addresses are hex strings throughout (e.g.
0x7FF6A0001000) - The plugin targets both 32-bit and 64-bit debuggees (use
eip/ripaccordingly)
Dependencies
x64dbg_automate[mcp](pip) — required for all skillsangr(pip) — required only for/decompileyara-python(pip) — required only for/yara-sigslief(pip) — required only for/vuln-hunter
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 · 37 lines · 503 tokens per session scan A ae923f86a341
x64dbg-skills CLAUDE.md is an instructions file published in the GitHub repository dariushoule/x64dbg-skills (205 stars, last pushed 6mo ago), licensed MIT. It adds 503 tokens to every session, about $0.0025 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.
Other instructions, from other repositories
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.