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 building-malware-incident-communication-templategit 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/building-malware-incident-communication-template)<a href="https://agentmods.dev/skills/26zl/cybersec-toolkit/building-malware-incident-communication-template"><img src="https://agentmods.dev/badge/skills/26zl/cybersec-toolkit/building-malware-incident-communication-template/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/building-malware-incident-communication-template"><img src="https://agentmods.dev/badge/skills/26zl/cybersec-toolkit/building-malware-incident-communication-template.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00037 | $0.02399 |
| Opus 5 | $0.00018 | $0.01200 |
| Sonnet 5 | $0.00007 | $0.00480 |
| Haiku 4.5 | $0.00004 | $0.00240 |
Grade A, and why
building-malware-incident-communication-template 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:
- building-malware-incident-communication-template — 92% identical, 8 lines differ
How it starts
The opening of the file, as written. The whole thing — 346 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Building Malware Incident Communication Template
Overview
Effective communication during malware incidents is critical for coordinated response, stakeholder management, and regulatory compliance. A structured communication framework ensures the right people receive appropriate information at the right time, preventing panic while maintaining transparency. Communication templates should cover internal escalation, executive briefings, technical advisories for IT teams, customer notifications, regulatory disclosures, and media statements. The framework must account for different malware types (ransomware, wiper, trojan, worm) and severity levels that drive escalation speed and audience.
When to Use
- When deploying or configuring building malware incident communication template 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
- Familiarity with incident response concepts and tools
- Access to a test or lab environment for safe execution
- Python 3.8+ with required dependencies installed
- Appropriate authorization for any testing activities
Communication Framework
Severity Classification
| Severity | Description | Notification Timeline | Audience |
|---|---|---|---|
| P1 - Critical | Ransomware, wiper, or widespread infection affecting business operations | Within 15 minutes | CISO, CEO, Legal, Board (if applicable) |
| P2 - High | Targeted malware on critical systems, data exfiltration suspected | Within 1 hour | CISO, IT Director, Legal |
| P3 - Medium | Contained malware infection, limited spread | Within 4 hours | Security Manager, IT Director |
| P4 - Low | Single endpoint infection, quickly contained | Within 24 hours | Security Team Lead |
Communication Channels
| Channel | Use Case | Security Level |
|---|---|---|
| Out-of-band phone calls | Initial critical notifications | Highest |
| Encrypted messaging (Signal) | Real-time IR team coordination | High |
| Secure email (encrypted) | Formal notifications, documentation | High |
| War room (physical/virtual) | Ongoing incident coordination | Medium |
| Incident ticketing system | Status tracking and documentation | Medium |
| Company intranet | Broad employee communication | Standard |
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.
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 · 346 lines · 37 tokens per session scan A 7fbc0423fdaa
building-malware-incident-communication-template is a skill published in the GitHub repository 26zl/cybersec-toolkit (54 stars, last pushed today), licensed MIT. It adds 37 tokens to every session and 2,399 once invoked, about $0.0002 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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