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detecting-entra-offensive-tools-in-graph-logs

An AI agent skill from mukul975/Anthropic-Cybersecurity-Skills, scored 73 out of 100 by code.

73/ 100B

Code score by group

  • Spec20/20
  • Description10/20
  • Procedure7/15
  • Done criteria11/15
  • Resources8/10
  • Scripts5/8
  • Safety7/7
  • Upkeep5/5

It loses the most points in Description (10), the group that checks whether the description says what the skill does and when to use it.

What the author says it does

Hunt AADGraphActivityLogs and MicrosoftGraphActivityLogs in Microsoft Sentinel/Log Analytics using KQL to fingerprint offensive Entra ID enumeration tools such as ROADtools, AADInternals, and AzureHound, including User-Agent signatures, roadrecon endpoint sweeps, and sign-in correlation. Use when investigating suspicious Microsoft Graph API activity, Entra ID reconnaissance, or building Sentinel analytics rules to detect these tools.

This is the description in the skill's own SKILL.md, written by its author, not by SkillCheatSheet.

Repository
mukul975/Anthropic-Cybersecurity-Skills
Folder
skills/detecting-entra-offensive-tools-in-graph-logs
License
Apache-2.0
GitHub stars
35,958
SKILL.md lines
195
Other files
4

Add detecting-entra-offensive-tools-in-graph-logs to your agent

npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-entra-offensive-tools-in-graph-logs

The command uses the open skills CLI. A skill is instructions and scripts your agent will follow, so read it first: open the folder on GitHub at the commit that was scored.

Labelled for

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All skills in mukul975/Anthropic-Cybersecurity-Skills

Scores come from a snapshot of 300 public GitHub repositories taken on 12 November 2026. Every score is the result of fixed checks run by code; no AI is involved. How scoring works.