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 autohandai/community-skills --skill analyzing-powershell-script-block-logginggit clone --depth 1 https://github.com/autohandai/community-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/autohandai/community-skills/analyzing-powershell-script-block-logging)<a href="https://agentmods.dev/skills/autohandai/community-skills/analyzing-powershell-script-block-logging"><img src="https://agentmods.dev/badge/skills/autohandai/community-skills/analyzing-powershell-script-block-logging.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00088 | $0.00451 |
| Opus 5 | $0.00044 | $0.00226 |
| Sonnet 5 | $0.00018 | $0.00090 |
| Haiku 4.5 | $0.00009 | $0.00045 |
Grade A, and why
analyzing-powershell-script-block-logging 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 4d 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
Instructions
- Install dependencies:
pip install python-evtx lxml - Collect PowerShell Operational logs:
Microsoft-Windows-PowerShell%4Operational.evtx - Parse Event ID 4104 entries using python-evtx to extract ScriptBlockText, ScriptBlockId, and MessageNumber/MessageTotal for multi-part script reconstruction.
- Apply detection heuristics:
- Base64-encoded commands (
-EncodedCommand,FromBase64String) - Download cradles (
DownloadString,DownloadFile,Invoke-WebRequest,Net.WebClient) - AMSI bypass patterns (
AmsiUtils,amsiInitFailed) - Obfuscation indicators (high entropy, tick-mark insertion, string concatenation)
- Base64-encoded commands (
- Generate a report with reconstructed scripts, risk scores, and MITRE ATT&CK mappings.
python scripts/agent.py --evtx-file /path/to/PowerShell-Operational.evtx --output ps_analysis.json
Examples
Detect Encoded Command Execution
import base64
if "-encodedcommand" in script_text.lower():
encoded = script_text.split()[-1]
decoded = base64.b64decode(encoded).decode("utf-16-le")
Reconstruct Multi-Block Script
Scripts split across multiple 4104 events share a ScriptBlockId. Concatenate blocks ordered by MessageNumber to recover the full script.
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.
- 4d ago First seen · 44 lines · 88 tokens per session scan A b495e61aeefc
analyzing-powershell-script-block-logging is a skill published in the GitHub repository autohandai/community-skills (10 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 88 tokens to every session and 451 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 2026-09-03.
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