security-investigator: Skill for Claude Code

.github/skills/computer-investigation/SKILL.md

computer-investigation is a skill for Claude Code, Codex from SCStelz/security-investigator. It costs 126 tokens per session (15,103 once invoked), scanned A, original, MIT.

A security investigation tool for computers and other devices managed through Microsoft security systems. It examines alerts, sign-ins, users, software, vulnerabilities, network connections, compliance, and automated investigations.

In plain words
What is it for?
Use it to investigate malware, suspicious activity, security alerts, device compliance, risky sign-ins, installed software, vulnerabilities, and network connections.
Why use it?
It brings evidence about a suspicious or non-compliant device into one investigation, helping clarify what happened and how serious it is.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

This is SCStelz/security-investigator's own configuration. It tells Claude Code and Codex how to work on security-investigator itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything security-investigator configures →

Reuse

Borrowing it

Nothing to install: this file belongs to SCStelz/security-investigator. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/SCStelz/security-investigator/main/.github/skills/computer-investigation/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/SCStelz/security-investigator

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for computer-investigation

README.md
[![agentmods](https://agentmods.dev/badge/skills/scstelz/security-investigator/computer-investigation/github.svg)](https://agentmods.dev/skills/scstelz/security-investigator/computer-investigation)
Your own site
<a href="https://agentmods.dev/skills/scstelz/security-investigator/computer-investigation"><img src="https://agentmods.dev/badge/skills/scstelz/security-investigator/computer-investigation/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.

agentmods 80×15 button for computer-investigation

Your own site · 80×15
<a href="https://agentmods.dev/skills/scstelz/security-investigator/computer-investigation"><img src="https://agentmods.dev/badge/skills/scstelz/security-investigator/computer-investigation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 126 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 15,103 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 4 findings, up to critical

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • critical YARA Match · line 514
    YARA rule matched a known malware signature (reverse shell, backdoor, ransomware, C2 framework, or info stealer).
    Fix: Remove the malware payload or compromised file entirely. Investigate how it entered the skill and audit all other artifacts for additional indicators of compromise.
  • high YARA Match · line 514
    YARA rule matched a known malware signature (reverse shell, backdoor, ransomware, C2 framework, or info stealer).
    Fix: Remove the malware payload or compromised file entirely. Investigate how it entered the skill and audit all other artifacts for additional indicators of compromise.
  • medium Excessive Agency · line 100
    Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.
    Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
  • medium Agent Snooping · line 1440
    Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.
    Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00126 $0.15103
Opus 5 $0.00063 $0.07551
Sonnet 5 $0.00025 $0.03021
Haiku 4.5 $0.00013 $0.01510

Measured 12d ago against content hash 8c4ffef71cf4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

computer-investigation 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 12d 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.

.github/skills/computer-investigation/SKILL.md · 1,449 lines

How it starts

The opening of the file, as written. The whole thing — 1,449 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Computer Security Investigation - Instructions

Purpose

This skill performs comprehensive security investigations on Windows, macOS, and Linux devices registered in Microsoft Entra ID and/or managed by Microsoft Defender for Endpoint. It analyzes Defender alerts, device compliance, sign-in patterns, logged-on users, installed software, vulnerabilities, network connections, and automated investigation results for:

  • Entra Joined Devices: Cloud-only devices joined directly to Microsoft Entra ID
  • Hybrid Joined Devices: Devices joined to both on-premises Active Directory and Microsoft Entra ID
  • Entra Registered Devices: Personal devices (BYOD) registered with Microsoft Entra ID

📑 TABLE OF CONTENTS

  1. Critical Workflow Rules - Start here!
  2. Investigation Types - Standard/Quick/Comprehensive
  3. Output Modes - Inline / Markdown file / JSON export
  4. Quick Start - 5-step investigation pattern
  5. Execution Workflow - Complete process
  6. Sample KQL Queries - Validated query patterns
  7. Microsoft Graph Queries - Entra ID device data
  8. Defender for Endpoint Queries - MDE API integration
  9. Markdown Report Template - Full markdown report structure
  10. JSON Export Structure - Required fields
  11. Error Handling - Troubleshooting guide
  12. SVG Dashboard Generation - Visual dashboard from report data

Investigation shortcuts:

  • Device with behavioral drift (TP Q6): Q3 (suspicious processes) → Q11 (logon events) → Q7 (incidents) → Q8 (device info)
  • Internet-facing critical asset (TP Q11): Q8 (device info + internet-facing) → Q4 (outbound connections) → Q10 (vulnerabilities) → Q11 (logon events)
  • Device in active incident (TP Q1): Q2 (security alerts) → Q3 (process execution) → Q5 (file events) → Q6 (registry persistence) → Q7 (incidents)
  • Brute-forced endpoint (TP Q4): Q11 (logon events) → Q4 (outbound connections) → Q12 (TI IP matches)
  • Vulnerability assessment (TP Q12): Q9 (software inventory) → Q10 (CVEs on device) → Q8 (exposure score)

Read the full file on GitHub · 1,449 lines

Files

What ships with it

1 file 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.

Changes

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.

  1. 12d ago First seen · 1,449 lines · 126 tokens per session scan A 8c4ffef71cf4

Subscribe to this mod's changes

computer-investigation is a skill published in the GitHub repository SCStelz/security-investigator (245 stars, last pushed 4d ago), licensed MIT. It adds 126 tokens to every session and 15,103 once invoked, about $0.0006 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 2026-08-30.

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