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Implementing file integrity monitoring with aide

Skill onfire7777/universal-ai-skills-library/skills/implementing-file-integrity-monitoring-with-aide

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npx -y skills add onfire7777/universal-ai-skills-library --skill implementing-file-integrity-monitoring-with-aide

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Configure AIDE (Advanced Intrusion Detection Environment) for file integrity monitoring including baseline creation, scheduled integrity checks, change detection, and alerting

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SKILL.md

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Implementing File Integrity Monitoring with AIDE

Overview

AIDE (Advanced Intrusion Detection Environment) is a host-based intrusion detection system that monitors file and directory integrity using cryptographic checksums. This skill covers generating AIDE configuration files, initializing baseline databases, running integrity checks, parsing change reports, and setting up automated cron-based monitoring with alerting.

When to Use

  • When deploying or configuring implementing file integrity monitoring with aide capabilities in your environment
  • When establishing security controls aligned to compliance requirements
  • When building or improving security architecture for this domain
  • When conducting security assessments that require this implementation

Prerequisites

  • AIDE installed on target Linux system (apt install aide / yum install aide)
  • Root or sudo access for file system scanning
  • Python 3.8+ with standard library

Steps

  1. Generate AIDE Configuration — Create aide.conf with monitoring rules for critical directories (/etc, /bin, /sbin, /usr/bin, /boot)
  2. Initialize Baseline Database — Run aide --init to create the initial file integrity baseline
  3. Run Integrity Check — Execute aide --check to compare current state against baseline
  4. Parse Change Report — Extract added, removed, and changed files from AIDE output
  5. Configure Automated Monitoring — Generate cron job for scheduled integrity checks
  6. Generate Compliance Report — Produce structured report of all file changes with severity classification

Expected Output

  • AIDE configuration file (aide.conf)
  • Baseline database creation status
  • JSON report of file changes (added/removed/changed) with severity
  • Cron job configuration for automated monitoring

Gives 0 of the 12 instructions most monitoring observability skills give

Counted across 481 of the 483 authors here whose files we hold, read 2026-08-06

  • link every alert to a runbookin 43 of 481, across 35 files
  • use structured json loggingin 36 of 481, across 31 files
  • alert on user-facing symptomsin 20 of 481, across 15 files
  • emit structured JSON logs with stable event namesin 18 of 481, across 13 files
  • propagate trace context across boundariesin 16 of 481
  • use histograms for latency trackingin 14 of 481, across 9 files
  • use OpenTelemetry for distributed tracingin 13 of 481, across 8 files
  • include a correlation ID on every log linein 13 of 481, across 8 files
  • Define service level objectivesin 10 of 481, across 7 files
  • Call useAzureMonitor before importing other modulesin 9 of 481, across 2 files
  • stop and ask for clarification if inputs are missingin 9 of 481, across 2 files
  • define on-call questions before adding telemetryin 9 of 481, across 4 files

Said here and by no other author read

  • create an AIDE configuration file with monitoring rules
  • initialize the baseline database
  • run an integrity check against the baseline
  • extract added, removed, and changed files from the report
  • generate a cron job for scheduled checks
  • produce a structured report of changes with severity

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once.

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