HackSkills is an organized knowledge base of installable skills that gives AI agents practical security knowledge across areas such as web security, privilege escalation, reverse engineering, and digital forensics. It is intended for bug bounty work, penetration testing, CTF competitions, and authorized security research. The catalogue entries are the project's own master, category, and topic skills.
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/yaklang/hack-skills/anti-debugging-techniquesnpx skills add yaklang/hack-skills --skill anti-debugging-techniquesgit clone --depth 1 https://github.com/yaklang/hack-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/yaklang/hack-skills/anti-debugging-techniques)<a href="https://agentmods.dev/skills/yaklang/hack-skills/anti-debugging-techniques"><img src="https://agentmods.dev/badge/skills/yaklang/hack-skills/anti-debugging-techniques.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 | $0.00046 | $0.03845 |
| Opus 5 | $0.00023 | $0.01922 |
| Sonnet 5 | $0.00009 | $0.00769 |
| Haiku 4.5 | $0.00005 | $0.00384 |
Grade A, and why
anti-debugging-techniques 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.
Copies of this mod
4 near-identical copies found in the catalogue:
- anti-debugging-techniques — 100% identical, 0 lines differ
- anti-debugging-techniques — 100% identical, 0 lines differ
- anti-debugging-techniques — 100% identical, 0 lines differ
- anti-debugging-techniques — 94% identical, 6 lines differ
How it starts
The opening of the file, as written. The whole thing — 408 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SKILL: Anti-Debugging Techniques — Detection & Bypass Playbook
AI LOAD INSTRUCTION: Expert anti-debug techniques across Linux and Windows. Covers ptrace, PEB flags, NtQueryInformationProcess, timing attacks, signal-based detection, TLS callbacks, VEH tricks, and all corresponding bypass methods. Base models often miss the distinction between user-mode and kernel-mode detection and the correct patching strategy for each.
0. RELATED ROUTING
- code-obfuscation-deobfuscation when the binary also uses control flow flattening, VM protection, or string encryption
- vm-and-bytecode-reverse when the anti-debug sits inside a custom VM dispatcher
- symbolic-execution-tools when you want to symbolically skip anti-debug checks entirely
Advanced Reference
Also load ANTI_DEBUG_MATRIX.md when you need:
- Complete cross-reference matrix of technique × OS × detection method × bypass method
- Per-technique reliability ratings and false-positive notes
- Tool compatibility chart (GDB, x64dbg, WinDbg, Frida, ScyllaHide)
Quick bypass picks
| Detection Class | First Bypass | Backup |
|---|---|---|
| ptrace-based (Linux) | LD_PRELOAD hook ptrace() → return 0 |
Kernel module to hide tracer |
| PEB.BeingDebugged (Windows) | Patch PEB byte at fs:[0x30]+0x2 |
ScyllaHide auto-patch |
| Timing check (rdtsc) | Conditional BP after rdtsc, fix registers | Frida hook rdtsc return |
| IsDebuggerPresent | NOP the call / hook return 0 | x64dbg built-in hide |
| INT 2D / UD2 exception | Set VEH to handle gracefully | TitanHide driver |
1. LINUX ANTI-DEBUG TECHNIQUES
1.1 ptrace(PTRACE_TRACEME)
The classic self-attach: a process calls ptrace(PTRACE_TRACEME, 0, 0, 0). If a debugger is already attached, the call fails (returns -1).
if (ptrace(PTRACE_TRACEME, 0, 0, 0) == -1) {
exit(1); // debugger detected
}
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 · 408 lines · 46 tokens per session scan A 4f26ae837d36
anti-debugging-techniques is a skill published in the GitHub repository yaklang/hack-skills (2,043 stars, last pushed 2mo ago), licensed MIT. It adds 46 tokens to every session and 3,845 once invoked, about $0.0002 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 skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.
auto-perf-optimize
Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.
chat-perf
Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…