Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/Masriyan/Claude-Code-CyberSecurity-Skillnpx agentmods add skills/masriyan/claude-code-cybersecurity-skill/07-incident-responseWrote 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/masriyan/claude-code-cybersecurity-skill/07-incident-response)<a href="https://agentmods.dev/skills/masriyan/claude-code-cybersecurity-skill/07-incident-response"><img src="https://agentmods.dev/badge/skills/masriyan/claude-code-cybersecurity-skill/07-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/masriyan/claude-code-cybersecurity-skill/07-incident-response"><img src="https://agentmods.dev/badge/skills/masriyan/claude-code-cybersecurity-skill/07-incident-response.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, up to medium
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 →
- medium Privilege Escalation · line 179 Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
- medium Rogue Agent · line 184 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.
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 | $0.00043 | $0.03723 |
| Opus 5 | $0.00022 | $0.01861 |
| Sonnet 5 | $0.00009 | $0.00745 |
| Haiku 4.5 | $0.00004 | $0.00372 |
Grade B, and why
Incident Response & Digital Forensics scanned grade B with 1 finding 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 yesterday.
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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
sudo avml /tmp/memory.lime # Memory dump (avml) How it starts
The opening of the file, as written. The whole thing — 402 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Incident Response & Digital Forensics
Purpose
Enable Claude to assist with structured incident response operations following NIST SP 800-61 and the SANS PICERL framework. Claude generates IR playbooks, guides evidence collection with chain of custody, constructs forensic timelines, interprets memory forensics output, and produces post-incident reports.
Activation Triggers
This skill activates when the user asks about:
- Creating an incident response playbook (ransomware, phishing, breach, etc.)
- Evidence collection and chain of custody procedures
- Forensic timeline construction from logs or artifacts
- Memory forensics using Volatility
- Post-incident report generation
- DFIR (Digital Forensics and Incident Response) procedures
- Containment and eradication strategies
- Root cause analysis for security incidents
- IR metrics, SLA tracking, or reporting for management
Prerequisites
pip install pyyaml jinja2 pandas python-dateutil
Recommended DFIR tools:
Volatility 3— Memory forensics frameworkAutopsy / Sleuth Kit— Disk forensicsplaso / log2timeline— Supertimeline generationKAPE— Evidence collection (Windows)Velociraptor— Enterprise-scale endpoint forensicsFTK Imager— Forensic imaging (Windows)dd / dcfldd / dc3dd— Disk imaging (Linux)
PICERL Framework Overview
Every IR engagement follows the PICERL lifecycle:
| Phase | Key Actions | Skill Outputs |
|---|---|---|
| Preparation | Verify tools, comms, access | Readiness checklist |
| Identification | Confirm incident, scope, severity | Incident classification |
| Containment | Isolate systems, stop spread | Containment actions list |
| Eradication | Remove threat, close access | Eradication checklist |
| Recovery | Restore systems, verify integrity | Recovery runbook |
| Lessons Learned | Post-incident review | IR report + improvements |
Core Capabilities
1. IR Playbook Creation
What ships with it
4 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.
- yesterday Changed eb88d2dbe376
- 10d ago First seen · 402 lines · 43 tokens per session scan B 0b297faa2bca
Incident Response & Digital Forensics is a skill published in the GitHub repository Masriyan/Claude-Code-CyberSecurity-Skill (403 stars, last pushed 2d ago), licensed MIT. It adds 43 tokens to every session and 3,723 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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