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    Incident Response Kit

    1

    Standardized incident response kit with NIST-aligned playbooks, forensic collectors, and timeline generators.

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    Incident Response Kit

    Incident Response Kit

    Example session with this skill installed

    We have a suspected SEV2 incident. A web server is showing signs of a web shell, and I need to start a timeline and collect evidence. Give me the immediate steps and the triage commands.

    • Read your context and instructions
    • Compiled the incident response kit

    I have classified this as a

    SEV2 incident (Confirmed compromise of a server, contained scope). Per the framework, an IR lead must be assigned within 1 hour.

    Initial Response & Collection

    You must stabilize the host without powering it off to preserve volatile memory. Use the following commands to collect evidence before proceeding with containment.

    1. Stabilization and Triage

    ActionCommand / Task
    IsolateUse EDR network containment (do not pull the plug)
    Linux Triagesudo bash scripts/linux_triage.sh /mnt/usb/case_webserver
    Windows Triage.\scripts\Collect-WinTriage.ps1 -OutputPath E:\case_webserver
    Open LogStart case.yaml using the provided template

    2. Immediate Timeline Scaffolding

    Once logs are retrieved, merge them to identify the initial entry point:

    
    # Merge web logs and auth logs into a normalized timeline
    python3 scripts/ir_timeline.py access.log auth.log --host-filter web-prod-01 -o initial_timeline.md
    

    3. Web Server Compromise Playbook

    Follow the web-server-compromise.md checklist:

    • Detect: Identify unauthorized files in /var/www/ or C:\inetpub\.
    • Analyze: Check for high-privilege child processes (e.g., www-data spawning whoami or nc).
    • Contain: Block the source IP at the perimeter and rotate all service account credentials.

    Next steps

    1. Run the triage script immediately to capture volatile network connections.
    2. Initialize case.yaml with the discovery timestamp in UTC.
    3. Map identified suspicious files to the initial_timeline.md for root cause analysis.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Ad-hoc incident response often fails due to lost volatile evidence, poor documentation, and inconsistent steps. This skill provides a structured framework to handle compromises from the first 15 minutes through to the final board-ready report. It enforces NIST SP 800-61 standards to ensure you contain threats without destroying forensic data.

    What it does

    • Classifies severity using a standardized matrix to determine response speed and escalation paths.
    • Executes playbooks for ten specific attack vectors including ransomware, BEC, and cloud compromise.
    • Collects evidence via specialized scripts for Linux and Windows that preserve volatile data and generate SHA-256 hashes.
    • Builds timelines by merging disparate EDR, proxy, and authentication logs into a single, normalized UTC sequence.
    • Generates reports from structured case files, producing executive summaries and technical root cause analyses.

    How it works

    1. Initial triage starts by applying the severity matrix and stabilizing the environment without powering down hosts.
    2. Playbook selection identifies the specific attack type to load the corresponding step-by-step containment and eradication checklist.
    3. Evidence gathering runs the triage collectors on affected systems to secure memory, process, and log data.
    4. Analysis and reporting merges evidence into a super-timeline and exports a Markdown or HTML incident report.

    Frameworks & tools

    This skill follows the NIST SP 800-61 incident handling lifecycle. It utilizes Python 3 for timeline merging and report generation, Bash for Linux triage, and PowerShell for Windows live-response collection.

    Why this beats prompting it yourself

    Generic AI prompts often suggest "rebooting" or "reimaging" too early, which destroys critical memory evidence. This skill embeds specific forensic best practices and structured templates that ensure legal and technical defensibility.

    Use cases

    • Responding to active ransomware encryption across server clusters.
    • Investigating a Business Email Compromise (BEC) involving unauthorized mail rules.
    • Performing live-response triage on a suspicious Linux web server.
    • Creating a post-mortem report for stakeholders after a data exfiltration event.

    Known limitations

    Requires elevated privileges (sudo or Administrator) to run collection scripts on target hosts. Output should be written to external or network storage to avoid disk contamination.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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