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 oyi77/1ai-skills --skill hunting-for-process-injection-techniquesgit clone --depth 1 https://github.com/oyi77/1ai-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/oyi77/1ai-skills/hunting-for-process-injection-techniques)<a href="https://agentmods.dev/skills/oyi77/1ai-skills/hunting-for-process-injection-techniques"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/hunting-for-process-injection-techniques/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/oyi77/1ai-skills/hunting-for-process-injection-techniques"><img src="https://agentmods.dev/badge/skills/oyi77/1ai-skills/hunting-for-process-injection-techniques.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00073 | $0.01119 |
| Opus 5 | $0.00036 | $0.00560 |
| Sonnet 5 | $0.00015 | $0.00224 |
| Haiku 4.5 | $0.00007 | $0.00112 |
Grade A, and why
hunting-for-process-injection-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 8d 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 — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hunting for Process Injection Techniques
Overview
Process injection (MITRE ATT&CK T1055) allows adversaries to execute code in the address space of another process, enabling defense evasion and privilege escalation. This skill detects injection techniques via Sysmon Event ID 8 (CreateRemoteThread), Event ID 10 (ProcessAccess with suspicious access rights), and analysis of source-target process relationships to distinguish legitimate from malicious injection.
When to Use
Trigger phrases:
-
"hunting for process injection techniques"
-
"Detect process injection techniques (T1055) including CreateRemoteThread, proces"
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When investigating security incidents that require hunting for process injection techniques
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When building detection rules or threat hunting queries for this domain
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When SOC analysts need structured procedures for this analysis type
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When validating security monitoring coverage for related attack techniques
When NOT to Use
- When you lack proper authorization for testing
- For production systems without change management
- When the task requires legal or compliance expertise beyond technical scope
Prerequisites
- Sysmon installed with Event IDs 8 and 10 enabled
- Process creation logs (Sysmon Event ID 1 or Windows 4688)
- Python 3.8+ with standard library
- JSON-formatted Sysmon event logs
Steps
# Example: IOC detection
import re
IOC_PATTERNS = {
"ip": r"\b(?:\d{1,3}\.){3}\d{1,3}\b",
"domain": r"\b[a-z0-9-]+\.[a-z]{2,}\b",
"hash_md5": r"\b[a-f0-9]{32}\b",
"hash_sha256": r"\b[a-f0-9]{64}\b",
}
def extract_iocs(text: str) -> dict:
return {k: re.findall(v, text) for k, v in IOC_PATTERNS.items()}
- Parse Sysmon Events — Ingest Event IDs 1, 8, and 10 from JSON log files
- Detect CreateRemoteThread — Flag Event ID 8 with suspicious source-target process pairs
- Analyze ProcessAccess Rights — Identify Event ID 10 with dangerous access masks (PROCESS_VM_WRITE, PROCESS_CREATE_THREAD)
- Build Process Relationship Graph — Map source-to-target injection relationships
- Filter Known Legitimate Pairs — Exclude known benign injection patterns (AV, debuggers, system processes)
- Score Injection Severity — Apply risk scoring based on source process, target process, and access rights
- Generate Hunt Report — Produce structured report with MITRE sub-technique mapping
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.
- 8d ago First seen · 127 lines · 73 tokens per session scan A 48ce5ab71cf0
hunting-for-process-injection-techniques is a skill published in the GitHub repository oyi77/1ai-skills (12 stars, last pushed today), licensed MIT. It adds 73 tokens to every session and 1,119 once invoked, about $0.0004 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 2026-09-04.
Other skills, from other repositories
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7-question gate run before promoting a finding to FINDING + opening a report. Kills weak/non-impactful findings before they reach the report stage and damage validity ratio.
supply-chain
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