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 adriannoes/awesome-agentic-ai --skill hunting-for-anomalous-powershell-executiongit clone --depth 1 https://github.com/adriannoes/awesome-agentic-aiWrote 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/adriannoes/awesome-agentic-ai/hunting-for-anomalous-powershell-execution)<a href="https://agentmods.dev/skills/adriannoes/awesome-agentic-ai/hunting-for-anomalous-powershell-execution"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/hunting-for-anomalous-powershell-execution/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/adriannoes/awesome-agentic-ai/hunting-for-anomalous-powershell-execution"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/hunting-for-anomalous-powershell-execution.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 | $0.00102 | $0.00620 |
| Opus 5 | $0.00051 | $0.00310 |
| Sonnet 5 | $0.00020 | $0.00124 |
| Haiku 4.5 | $0.00010 | $0.00062 |
Grade A, and why
hunting-for-anomalous-powershell-execution 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.
What it actually says
Hunting for Anomalous PowerShell Execution
Overview
PowerShell Script Block Logging (Event ID 4104) records the full deobfuscated script text executed on a Windows endpoint, making it the primary data source for hunting malicious PowerShell. Combined with Module Logging (4103) and process creation events, analysts can detect encoded commands, AMSI bypass patterns, download cradles, credential theft tools, and fileless attack techniques even when the attacker uses obfuscation layers.
When to Use
- When investigating security incidents that require hunting for anomalous powershell execution
- When building detection rules or threat hunting queries for this domain
- When SOC analysts need structured procedures for this analysis type
- When validating security monitoring coverage for related attack techniques
Prerequisites
- Windows Event Log exports (.evtx) from Microsoft-Windows-PowerShell/Operational
- Python 3.8+ with python-evtx and lxml libraries
- Script Block Logging enabled via Group Policy
- Understanding of common PowerShell attack techniques
Steps
- Parse EVTX files extracting Event 4104 script block text and metadata
- Reassemble multi-part script blocks using ScriptBlock ID correlation
- Scan script text for AMSI bypass indicators and obfuscation patterns
- Detect encoded command execution and base64 payloads
- Identify download cradles, credential dumping, and lateral movement commands
- Score and prioritize findings by threat severity
Expected Output
{
"total_events": 1247,
"suspicious_events": 23,
"amsi_bypass_attempts": 2,
"encoded_commands": 8,
"download_cradles": 5,
"credential_access": 3
}
What ships with it
3 files 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.
- 8d ago First seen · 82 lines · 102 tokens per session scan A 7f02bb8bac8b
hunting-for-anomalous-powershell-execution is a skill published in the GitHub repository adriannoes/awesome-agentic-ai (57 stars, last pushed 14d ago), licensed MIT. It adds 102 tokens to every session and 620 once invoked, about $0.0005 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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