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.
npx skills add 26zl/cybersec-toolkit --skill conducting-malware-incident-responsegit clone --depth 1 https://github.com/26zl/cybersec-toolkitWrote 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.
[](https://agentmods.dev/skills/26zl/cybersec-toolkit/conducting-malware-incident-response)<a href="https://agentmods.dev/skills/26zl/cybersec-toolkit/conducting-malware-incident-response"><img src="https://agentmods.dev/badge/skills/26zl/cybersec-toolkit/conducting-malware-incident-response/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.
<a href="https://agentmods.dev/skills/26zl/cybersec-toolkit/conducting-malware-incident-response"><img src="https://agentmods.dev/badge/skills/26zl/cybersec-toolkit/conducting-malware-incident-response.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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 YARA Match · line 182 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.
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00079 | $0.02240 |
| Opus 5 | $0.00039 | $0.01120 |
| Sonnet 5 | $0.00016 | $0.00448 |
| Haiku 4.5 | $0.00008 | $0.00224 |
Grade A, and why
conducting-malware-incident-response 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 9d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- conducting-malware-incident-response — 91% identical, 7 lines differ
How it starts
The opening of the file, as written. The whole thing — 228 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Conducting Malware Incident Response
When to Use
- EDR or antivirus detects malware execution on one or more endpoints
- A user reports suspicious system behavior indicative of malware infection
- Threat intelligence indicates a malware campaign targeting the organization's industry
- Network monitoring detects beaconing traffic consistent with known malware C2 patterns
- A file detonation in a sandbox returns a malicious verdict
Do not use for analyzing malware samples in a research context; use dedicated malware analysis procedures for reverse engineering.
Prerequisites
- EDR platform with process tree visibility and host isolation capability
- Malware sandbox environment (Cuckoo, ANY.RUN, Joe Sandbox, Hybrid Analysis)
- Access to threat intelligence platforms for malware family identification (VirusTotal, MalwareBazaar)
- Forensic imaging tools for evidence preservation (FTK Imager, KAPE)
- Clean system images or gold images for endpoint rebuild
- MITRE ATT&CK framework reference for technique mapping
Workflow
Step 1: Detect and Confirm Malware Presence
Validate the malware alert and gather initial indicators:
- Review EDR alert details: detection name, file path, hash (SHA-256), process tree
- Check if the detection is a known malware family or generic heuristic detection
- Query the file hash against VirusTotal, MalwareBazaar, and internal threat intelligence
- Examine the process execution chain to determine how the malware was delivered
Detection Summary:
File: C:\Users\jsmith\AppData\Local\Temp\update.exe
SHA-256: a1b2c3d4e5f6...
Detection: CrowdStrike: Malware/Qakbot | VirusTotal: 58/72 engines
Parent: WINWORD.EXE → cmd.exe → powershell.exe → update.exe
Delivery: Email attachment (Invoice-Nov2025.docm)
Network: HTTPS POST to 185.220.101[.]42:443 every 60s
Persistence: Scheduled Task "WindowsUpdate" → update.exe
Step 2: Scope the Infection
Determine how many systems are affected and the malware's propagation method:
What ships with it
3 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.
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.
- 9d ago First seen · 228 lines · 79 tokens per session scan A 3d5d84b6b418
conducting-malware-incident-response is a skill published in the GitHub repository 26zl/cybersec-toolkit (54 stars, last pushed today), licensed MIT. It adds 79 tokens to every session and 2,240 once invoked, about $0.0004 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 2026-09-03.
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