Phoenix Studio

Convert indexed Sigma rules into analyst-ready detections.

This studio is built around Phoenix's own rule corpus, not a blank editor. Search by title or rule id, choose a local pySigma backend, then reveal pipelines only when you actually need them.

Indexed Rules

3,779

Ready to search

Backends

3

Loaded from pysigma-node

pySigma Versions

2

Newest: 2.0.1

Translation Workspace

Shape the rule before it leaves Phoenix

Tune Translation

Active Rule

New Agent Skills Installation Attempt Via Node.EXE

Backends follow their supported pySigma version. Select 1.5.1 for Elasticsearch, Kusto, and other 1.x plugins.

Target Profile

Splunk

Splunk through pysigma-backend-splunk.

Format Mode

Default

Default pySigma output mode for this backend.

Conversion Output

New Agent Skills Installation Attempt Via Node.EXE

Using Splunk · Default · pySigma 2.0.1

Translation controls

Adjust the rule on the left, then regenerate when you want a fresh backend-native query.

BackendSplunkFormatDefaultVersion2.0.1
title: New Agent Skills Installation Attempt Via Node.EXE
id: afa71271-6a97-4e47-810f-83120fb1a4ce
status: experimental
description: |
    Detects the attempt to install new skills for AI agents using the "npx skills" command.
    Agent skills enhance AI agents with new capabilities, but attackers may abuse this mechanism to inject malicious commands executed by the agent on behalf of the user.
    The "npx skills" command can install skills for various agents (e.g., Claude Code, Cursor, and others).
    Analysts should review any installed skills to verify their legitimacy.
    Note: Tune this rule based on whether AI agent tooling is allowed in your environment.
    In environments where such tooling is authorized, this detection may reflect normal activity and the alert level should be adjusted accordingly.
    In environments where AI agent tooling is not permitted, this activity is likely suspicious and may require immediate investigation.
references:
    - https://blog.lukaszolejnik.com/supply-chain-risk-of-agentic-ai-infecting-infrastructures-via-skill-worms/
    - https://github.com/vercel-labs/skills/blob/1f7fbc8d0e49c4e0601d364696bd1bdd15e80967/README.md
    - https://opensourcemalware.com/blog/clawdbot-skills-ganked-your-crypto
    - https://promptintel.novahunting.ai/molt
author: Marco Pedrinazzi (@pedrinazziM) (InTheCyber)
date: 2026-02-03
tags:
    - attack.execution
    - attack.t1059.007
logsource:
    product: windows
    category: process_creation
detection:
    selection_img:
        - Image|endswith: '\node.exe'
        - OriginalFileName: 'node.exe'
    selection_cli:
        CommandLine|contains|all:
            - 'npx-cli.js'
            - 'skills '
            - ' add '
    condition: all of selection_*
falsepositives:
    - This rule will be triggered when a new agent skill is installed regardless if it is benign or malicious.
    - High false positive rate expected in environments where AI agent tooling is authorized and commonly used.
level: medium
regression_tests_path: regression_data/rules/windows/process_creation/proc_creation_win_node_new_agent_skills_installed/info.yml

CLI command

Sigma CLI 4.0.0 · Install matching versions, then run from the Phoenix project directory.

python -m pip install 'sigma-cli==4.0.0' 'pysigma==2.0.1' 'pysigma-backend-splunk==3.0.0' sigma convert --without-pipeline -t splunk -f default 'sigma/rules/windows/process_creation/proc_creation_win_node_new_agent_skills_installed.yml'