Docker Compose Tests
jillesvangurp/kt-search
Use Gradle Compose tasks to prepare and recover local Elasticsearch/OpenSearch test infrastructure in kt-search.
Implement User and Entity Behavior Analytics (UEBA) using Elasticsearch/OpenSearch to build behavioral baselines, calculate anomaly scores, perform peer group analysis, and alert on insider threat…
Install Detecting Insider Threat With Ueba
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-insider-threat-with-ueba -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills detecting-insider-threat-with-ueba --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/detecting-insider-threat-with-ueba .claude/skills/detecting-insider-threat-with-ueba && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "detecting-insider-threat-with-ueba" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/detecting-insider-threat-with-ueba into .claude/skills/detecting-insider-threat-with-ueba/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "detecting-insider-threat-with-ueba", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/detecting-insider-threat-with-uebaType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-insider-threat-with-ueba -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills detecting-insider-threat-with-ueba --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/detecting-insider-threat-with-ueba .agents/skills/detecting-insider-threat-with-ueba && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "detecting-insider-threat-with-ueba" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/detecting-insider-threat-with-ueba into .agents/skills/detecting-insider-threat-with-ueba/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "detecting-insider-threat-with-ueba", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-insider-threat-with-ueba -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills detecting-insider-threat-with-ueba --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/detecting-insider-threat-with-ueba .cursor/skills/detecting-insider-threat-with-ueba && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "detecting-insider-threat-with-ueba" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/detecting-insider-threat-with-ueba into .cursor/skills/detecting-insider-threat-with-ueba/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "detecting-insider-threat-with-ueba", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git --path skills/detecting-insider-threat-with-ueba--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-insider-threat-with-ueba -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills detecting-insider-threat-with-ueba --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/detecting-insider-threat-with-ueba .gemini/skills/detecting-insider-threat-with-ueba && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "detecting-insider-threat-with-ueba" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/detecting-insider-threat-with-ueba into .gemini/skills/detecting-insider-threat-with-ueba/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "detecting-insider-threat-with-ueba", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills detecting-insider-threat-with-uebaInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-insider-threat-with-ueba -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/detecting-insider-threat-with-ueba .github/skills/detecting-insider-threat-with-ueba && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "detecting-insider-threat-with-ueba" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/detecting-insider-threat-with-ueba into .github/skills/detecting-insider-threat-with-ueba/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "detecting-insider-threat-with-ueba", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-insider-threat-with-ueba -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mukul975/Anthropic-Cybersecurity-Skills detecting-insider-threat-with-ueba --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mukul975/Anthropic-Cybersecurity-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/detecting-insider-threat-with-ueba .opencode/skills/detecting-insider-threat-with-ueba && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "detecting-insider-threat-with-ueba" agent skill from https://github.com/mukul975/Anthropic-Cybersecurity-Skills/tree/main/skills/detecting-insider-threat-with-ueba into .opencode/skills/detecting-insider-threat-with-ueba/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "detecting-insider-threat-with-ueba", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
detecting-insider-threat-with-ueba- GitHub stars
- 34k
- Token cost
- ~738 tokens
- SKILL.md length
- 288 words
- Files
- 4 (incl. scripts, references)
- Skills in repo
- 644
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Implement User and Entity Behavior Analytics (UEBA) using Elasticsearch/OpenSearch to build behavioral baselines, calculate anomaly scores, perform peer group analysis, and alert on insider threat…
- Works in 4 steps: Ingest and Normalize Activity Logs → Build Behavioral Baselines → Calculate Anomaly Scores → …
- Tuning a UEBA pipeline rather than a one-off manual hunt
- SKILL.md covers Overview, When to Use, Prerequisites and Steps, plus 1 more section
- Runs Python scripts from its folder
What it does
Detecting Insider Threat With Ueba is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Implement User and Entity Behavior Analytics (UEBA) using Elasticsearch/OpenSearch to build behavioral baselines, calculate anomaly scores, perform peer group analysis, and alert on insider threat indicators such as data exfiltration, privilege abuse, and unauthorized access. Use when building or tuning a UEBA pipeline rather than a one-off manual hunt.
Its SKILL.md is about 740 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/api-reference.md` and `scripts/agent.py`).
It sits in Security, covering Search implementation. It works with Elasticsearch and OpenSearch. The repository describes itself as: 817 structured cybersecurity skills for AI agents · Mapped to 6 frameworks: MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, NIST AI RMF & MITRE F3 (Fight Fraud) · agentskills.io…. The licence is Apache-2.0.
When your agent uses it
- Tuning a UEBA pipeline rather than a one-off manual hunt
- Tasks that involve Search implementation
Example prompts
- “/detecting-insider-threat-with-ueba”
Requirements
- Python 3
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 54a7988. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Ships 1 file in scripts/ (Python), which the agent can run.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Detecting Insider Threat With Ueba loads about 738 tokens when it runs, and up to ~1.3k if it reads all its reference files. Until then it costs about 98 tokens; SKILL.md has 288 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
SKILL.md
The full file from mukul975/Anthropic-Cybersecurity-Skills at commit 54a7988, republished under its Apache-2.0 licence (© mukul975). 288 words, ~738 tokens.
Download SKILL.mdSave it as
.claude/skills/detecting-insider-threat-with-ueba/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- detecting-insider-threat-with-ueba
- description
- Implement User and Entity Behavior Analytics (UEBA) using Elasticsearch/OpenSearch to build behavioral baselines, calculate anomaly scores, perform peer group analysis, and alert on insider threat indicators such as data exfiltration, privilege abuse, and unauthorized access. Use when building or tuning a UEBA pipeline rather than a one-off manual hunt.
- domain
- cybersecurity
- subdomain
- threat-detection
- tags
- ueba, insider-threat, anomaly-detection, elasticsearch, behavior-analytics, machine-learning, siem
- version
- 1.0
- author
- mahipal
- license
- Apache-2.0
- nist_csf
- DE.CM-01, DE.AE-02, DE.AE-06, ID.RA-05
- mitre_attack
- T1078, T1190, T1059, T1048, T1041
Detecting Insider Threat with UEBA
Overview
User and Entity Behavior Analytics (UEBA) moves beyond static rule-based detection to model normal behavior for users, hosts, and applications, then flag statistically significant deviations that may indicate insider threats. Using Elasticsearch as the analytics backend, this skill covers building behavioral baselines from authentication logs, file access events, and network activity, computing risk scores using statistical deviation and peer group comparison, and correlating multiple low-confidence indicators into high-confidence insider threat alerts.
When to Use
- When investigating security incidents that require detecting insider threat with ueba
- 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
- Elasticsearch 8.x or OpenSearch 2.x cluster with security audit data
- Log sources: Active Directory authentication, VPN, DLP, file server access, email
- Python 3.9+ with elasticsearch client library
- Baseline period of 30+ days of normal user activity data
- Defined peer groups based on department, role, or job function
Steps
Step 1: Ingest and Normalize Activity Logs
Configure log pipelines to ingest authentication, file access, email, and network logs into Elasticsearch with a unified user identity field.
Step 2: Build Behavioral Baselines
Calculate per-user baselines for login times, data volume, application usage, and access patterns over a rolling 30-day window using Elasticsearch aggregations.
Step 3: Calculate Anomaly Scores
Compare current activity against baselines using z-score deviation and peer group comparison to generate per-user risk scores.
Step 4: Correlate and Alert
Combine multiple anomalous indicators (unusual hours + large downloads + new system access) into composite risk scores that trigger SOC investigation workflows.
Expected Output
JSON report containing per-user risk scores, anomalous activity details, peer group deviations, and recommended investigation actions.
© mukul975, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 3 other files (scripts, references) in skills/detecting-insider-threat-with-ueba of mukul975/Anthropic-Cybersecurity-Skills.
- SKILL.md
- LICENSE
- references/api-reference.md
- scripts/agent.py
Open the folder on GitHubat commit 54a7988
Compare with similar skills
Detecting Insider Threat With Ueba next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Detecting Insider Threat With Ueba this skillmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~738 | Automated safety check: Pass | Apache-2.0 | |
| Docker Compose Testsjillesvangurp/kt-search | 155 | — | ~295 | Automated safety check: Pass | MIT | |
| Amazon Opensearch Serviceaws/agent-toolkit-for-aws | 2.8k | — | ~2.4k | Automated safety check: Pass | Apache-2.0 | |
| Opensearch Function Scoring Algorithmspproenca/dot-skills | 215 | — | ~3.8k | Automated safety check: Pass | MIT | |
| Opensearch Personalize Caching Strategiespproenca/dot-skills | 215 | — | ~4.8k | Automated safety check: Pass | MIT | |
| Analytics Opensearch Expertiseaws/tools-for-devops-agent | 103 | — | ~6.9k | Automated safety check: Pass | Apache-2.0 |
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Related
Works with
Categories
Questions about Detecting Insider Threat With Ueba
What does Detecting Insider Threat With Ueba do?
Implement User and Entity Behavior Analytics (UEBA) using Elasticsearch/OpenSearch to build behavioral baselines, calculate anomaly scores, perform peer group analysis, and alert on insider threat…. Detecting Insider Threat With Ueba is an agent skill from mukul975/Anthropic-Cybersecurity-Skills. Implement User and Entity Behavior Analytics (UEBA) using Elasticsearch/OpenSearch to build behavioral baselines, calculate anomaly scores, perform peer group analysis, and alert on insider threat indicators such as data exfiltration, privilege abuse, and unauthorized access.
When should I use Detecting Insider Threat With Ueba?
Detecting Insider Threat With Ueba fits situations like: tuning a UEBA pipeline rather than a one-off manual hunt; tasks that involve Search implementation.
How do I install Detecting Insider Threat With Ueba in Claude Code?
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-insider-threat-with-ueba -a claude-code`. Or copy the skill folder (skills/detecting-insider-threat-with-ueba in mukul975/Anthropic-Cybersecurity-Skills) into .claude/skills/detecting-insider-threat-with-ueba in your project. Claude Code loads it when a task matches its description.
How do I install Detecting Insider Threat With Ueba in Codex?
Run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-insider-threat-with-ueba -a codex`. Or copy the skill folder (skills/detecting-insider-threat-with-ueba in mukul975/Anthropic-Cybersecurity-Skills) into .agents/skills/detecting-insider-threat-with-ueba in your project. Codex loads it when a task matches its description.
Can I use Detecting Insider Threat With Ueba in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mukul975/Anthropic-Cybersecurity-Skills --skill detecting-insider-threat-with-ueba -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/detecting-insider-threat-with-ueba, .gemini/skills/detecting-insider-threat-with-ueba, .github/skills/detecting-insider-threat-with-ueba and .opencode/skills/detecting-insider-threat-with-ueba in your project.
What does Detecting Insider Threat With Ueba need to run?
Going by SKILL.md and its folder, Detecting Insider Threat With Ueba needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Detecting Insider Threat With Ueba access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Detecting Insider Threat With Ueba safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Detecting Insider Threat With Ueba use?
Detecting Insider Threat With Ueba is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Detecting Insider Threat With Ueba use?
About 738 tokens (SKILL.md is roughly 3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 605 tokens, read only when the agent opens those files.
What are the alternatives to Detecting Insider Threat With Ueba?
Skills that share tags, products or a category with Detecting Insider Threat With Ueba: Docker Compose Tests (jillesvangurp/kt-search, 155 stars), Amazon Opensearch Service (aws/agent-toolkit-for-aws, 2.8k stars), Opensearch Function Scoring Algorithms (pproenca/dot-skills, 215 stars) and Opensearch Personalize Caching Strategies (pproenca/dot-skills, 215 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Detecting Insider Threat With Ueba?
mukul975 (a GitHub user) maintains it in mukul975/Anthropic-Cybersecurity-Skills, which has 34,116 GitHub stars. The repository holds 644 skills in this directory. The repository was last updated on August 31, 2026.
Source: mukul975/Anthropic-Cybersecurity-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.