eradicating-malware-from-infected-systems

eradicating-malware-from-infected-systems is a skill for Claude Code, Codex from adriannoes/awesome-agentic-ai. It costs 37 tokens per session (2,138 once invoked), scanned B, original, MIT.

A post-containment procedure for removing malware, backdoors, and attacker persistence from infected systems. It combines forensic findings, endpoint protection, YARA rules, clean images, and verified backups.

In plain words
What is it for?
Mapping persistence locations, removing malicious artifacts, rebuilding compromised systems, and verifying a clean recovery.
Why use it?
It provides a structured cleanup process after an infection so hidden persistence is removed and systems can be restored without reinfection.

Skill for Claude CodeCodex

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

Good fit Mapping persistence locations, removing malicious artifacts, rebuilding compromised systems, and verifying a clean recovery.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/adriannoes/awesome-agentic-ai/eradicating-malware-from-infected-systems
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add adriannoes/awesome-agentic-ai --skill eradicating-malware-from-infected-systems
Clone the repo
git clone --depth 1 https://github.com/adriannoes/awesome-agentic-ai

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 eradicating-malware-from-infected-systems

README.md
[![agentmods](https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/eradicating-malware-from-infected-systems/github.svg)](https://agentmods.dev/skills/adriannoes/awesome-agentic-ai/eradicating-malware-from-infected-systems)
Your own site
<a href="https://agentmods.dev/skills/adriannoes/awesome-agentic-ai/eradicating-malware-from-infected-systems"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/eradicating-malware-from-infected-systems/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 eradicating-malware-from-infected-systems

Your own site · 80×15
<a href="https://agentmods.dev/skills/adriannoes/awesome-agentic-ai/eradicating-malware-from-infected-systems"><img src="https://agentmods.dev/badge/skills/adriannoes/awesome-agentic-ai/eradicating-malware-from-infected-systems.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,138 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 2 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: 8 findings, up to high

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 →

  • high Tool Misuse · line 110
    Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).
    Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
  • high Tool Misuse · line 124
    Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).
    Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
  • high Privilege Escalation · line 125
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Tool Misuse · line 126
    Tool parameters are crafted to achieve unintended or unsafe behavior. Parameter abuse can bypass intended safety checks (e.g. shell=True, --force, dangerous glob patterns).
    Fix: Validate all tool parameters against an allowlist. Reject dangerous parameter values (shell=True, --force, -rf /) and use safe defaults.
  • medium Rogue Agent · line 75
    Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.
    Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
  • medium Data Exfiltration · line 77
    Code scans file system directories looking for sensitive files. This could be reconnaissance for credential theft.
    Fix: Remove unnecessary filesystem scanning. If file access is needed, use explicit, scoped paths. Avoid reading ~/.ssh, ~/.aws, or credential directories.
  • medium Data Exfiltration · line 176
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
  • medium Data Exfiltration · line 176
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 $0.00037 $0.02138
Opus 5 $0.00018 $0.01069
Sonnet 5 $0.00007 $0.00428
Haiku 4.5 $0.00004 $0.00214

Measured 9d ago against content hash 6c0b752f9686, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade B, and why

eradicating-malware-from-infected-systems scanned grade B with 2 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 9d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/agent.py, scripts/process.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Reaches for credential filesmediumPrivilege escalation

SSH keys, cloud credentials, git-credentials, .npmrc, /etc/shadow: reading these is how a config file becomes a credential leak.

sed -i '/malicious_key/d' ~/.ssh/authorized_keys

Downgraded: this mod is about security review, or the phrase is quoted, so it is likely naming the pattern rather than instructing it.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -X POST "https://api.crowdstrike.com/scanner/entities/scans/v1" \
cursor-claude-codex/skills/anthropic-cybersecurity-skills/skills/eradicating-malware-from-infected-systems/SKILL.md · 233 lines

How it starts

The opening of the file, as written. The whole thing — 233 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Eradicating Malware from Infected Systems

When to Use

  • Malware infection confirmed and containment is in place
  • Forensic investigation has identified all persistence mechanisms
  • All compromised systems have been identified and scoped
  • Ready to remove attacker artifacts and restore clean state
  • Post-containment phase requires systematic cleanup

Prerequisites

  • Completed forensic analysis identifying all malware artifacts
  • List of all compromised systems and accounts
  • EDR/AV with updated signatures deployed
  • YARA rules for the specific malware family
  • Clean system images or verified backups for restoration
  • Network isolation still in effect during eradication

Workflow

Step 1: Map All Persistence Mechanisms

# Windows - Check all known persistence locations
# Autoruns (Sysinternals) - comprehensive autostart enumeration
autorunsc.exe -accepteula -a * -c -h -s -v > autoruns_report.csv

# Registry Run keys
reg query "HKLM\SOFTWARE\Microsoft\Windows\CurrentVersion\Run" /s
reg query "HKCU\SOFTWARE\Microsoft\Windows\CurrentVersion\Run" /s
reg query "HKLM\SOFTWARE\Microsoft\Windows\CurrentVersion\RunOnce" /s
reg query "HKLM\SOFTWARE\Microsoft\Windows\CurrentVersion\Policies\Explorer\Run" /s

# Scheduled tasks
schtasks /query /fo CSV /v > schtasks_all.csv

# WMI event subscriptions
Get-WMIObject -Namespace root\Subscription -Class __EventFilter
Get-WMIObject -Namespace root\Subscription -Class CommandLineEventConsumer
Get-WMIObject -Namespace root\Subscription -Class __FilterToConsumerBinding

# Services
Get-Service | Where-Object {$_.Status -eq 'Running'} | Select-Object Name, DisplayName, BinaryPathName

# Linux persistence
cat /etc/crontab
ls -la /etc/cron.*/
ls -la /etc/init.d/
systemctl list-unit-files --type=service | grep enabled
cat /etc/rc.local
ls -la ~/.bashrc ~/.profile ~/.bash_profile

Step 2: Identify All Malware Artifacts

# Scan with YARA rules specific to the malware family
yara -r -s malware_rules/specific_family.yar C:\ 2>/dev/null

# Scan with multiple AV engines
# ClamAV scan
clamscan -r --infected --remove=no /mnt/infected_disk/

# Check for known malicious file hashes
find / -type f -newer /tmp/baseline_timestamp -exec sha256sum {} \; 2>/dev/null | \
  while read hash file; do
    grep -q "$hash" known_malicious_hashes.txt && echo "MALICIOUS: $file ($hash)"
  done

# Check for web shells
find /var/www/ -name "*.php" -newer /tmp/baseline -exec grep -l "eval\|base64_decode\|system\|passthru\|shell_exec" {} \;

# Check for unauthorized SSH keys
find / -name "authorized_keys" -exec cat {} \; 2>/dev/null

Read the full file on GitHub · 233 lines

Files

What ships with it

7 files 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. 9d ago First seen · 233 lines · 37 tokens per session scan B 6c0b752f9686

Subscribe to this mod's changes

eradicating-malware-from-infected-systems is a skill published in the GitHub repository adriannoes/awesome-agentic-ai (57 stars, last pushed 14d ago), licensed MIT. It adds 37 tokens to every session and 2,138 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 2 findings (reaches for credential files, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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