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
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/yaklang/hack-skillsnpx agentmods add skills/yaklang/hack-skills/stack-overflow-and-ropWrote 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/stack-overflow-and-rop)<a href="https://agentmods.dev/skills/yaklang/hack-skills/stack-overflow-and-rop"><img src="https://agentmods.dev/badge/skills/yaklang/hack-skills/stack-overflow-and-rop/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/yaklang/hack-skills/stack-overflow-and-rop"><img src="https://agentmods.dev/badge/skills/yaklang/hack-skills/stack-overflow-and-rop.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket warn
- Snyk fail
- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high YARA Match · line 124 YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
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 | $0.00059 | $0.03175 |
| Opus 5 | $0.00030 | $0.01588 |
| Sonnet 5 | $0.00012 | $0.00635 |
| Haiku 4.5 | $0.00006 | $0.00317 |
Grade A, and why
stack-overflow-and-rop 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 6d 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
3 near-identical copies found in the catalogue:
- stack-overflow-and-rop — 100% identical, 0 lines differ
- stack-overflow-and-rop — 100% identical, 0 lines differ
- stack-overflow-and-rop — 94% identical, 4 lines differ
How it starts
The opening of the file, as written. The whole thing — 305 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SKILL: Stack Overflow & ROP — Expert Attack Playbook
AI LOAD INSTRUCTION: Expert stack-based exploitation techniques. Covers classic buffer overflow, return-to-libc, ROP chain construction, ret2csu, ret2dlresolve, SROP, stack pivoting, and canary bypass. Distilled from ctf-wiki advanced-rop, real-world CVEs, and CTF competition patterns. Base models often miss the nuance of gadget selection under constrained conditions.
0. RELATED ROUTING
- format-string-exploitation — leak canary/libc/PIE base via format string before triggering overflow
- binary-protection-bypass — systematic bypass of NX, ASLR, PIE, canary, RELRO
- arbitrary-write-to-rce — convert a write primitive (GOT, hooks, vtable) into code execution
- heap-exploitation — when the vulnerability is in heap rather than stack
Advanced Reference
Load ROP_ADVANCED_TECHNIQUES.md when you need:
- Blind ROP (BROP) methodology against remote services without binary
- ret2vdso for ASLR bypass on 32-bit systems
- Partial overwrite techniques for PIE bypass
- JOP / COP alternative code-reuse paradigms
1. STACK LAYOUT FUNDAMENTALS
High Address
┌─────────────────────┐
│ ... (caller) │
├─────────────────────┤
│ Return Address │ ← overwrite target (EIP/RIP control)
├─────────────────────┤
│ Saved EBP/RBP │ ← overwrite for stack pivoting
├─────────────────────┤
│ Canary (if enabled)│
├─────────────────────┤
│ Local Variables │ ← buffer starts here
├─────────────────────┤
│ ... │
└─────────────────────┘
Low Address
| Element | x86 (32-bit) | x86-64 (64-bit) |
|---|---|---|
| Return address size | 4 bytes | 8 bytes |
| Saved frame pointer | 4 bytes (EBP) | 8 bytes (RBP) |
| Canary size | 4 bytes | 8 bytes |
| Calling convention | args on stack | RDI, RSI, RDX, RCX, R8, R9 then stack |
| Syscall instruction | int 0x80 |
syscall |
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.
- 6d ago First seen · 305 lines · 59 tokens per session scan A f915394bc7aa
stack-overflow-and-rop is a skill published in the GitHub repository yaklang/hack-skills (2,143 stars, last pushed 2mo ago), licensed MIT. It adds 59 tokens to every session and 3,175 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 2026-09-03.
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