Kubernetes Network Security Audit
kubeshark/kubeshark
Hunts for compromised workloads and malicious traffic in a Kubernetes cluster by sweeping network data through Kubeshark MCP, mapped to MITRE ATT&CK.
Respond to a ransomware incident following PICERL methodology.
$ npx skills add dandye/ai-runbooks --skill respond-ransomware -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install dandye/ai-runbooks respond-ransomware --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/dandye/ai-runbooks.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/respond-ransomware .claude/skills/respond-ransomware && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "respond-ransomware" agent skill from https://github.com/dandye/ai-runbooks/tree/main/skills/respond-ransomware into .claude/skills/respond-ransomware/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "respond-ransomware", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/dandye/ai-runbooks/tree/main/skills/respond-ransomwareType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add dandye/ai-runbooks --skill respond-ransomware -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install dandye/ai-runbooks respond-ransomware --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dandye/ai-runbooks.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/respond-ransomware .agents/skills/respond-ransomware && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "respond-ransomware" agent skill from https://github.com/dandye/ai-runbooks/tree/main/skills/respond-ransomware into .agents/skills/respond-ransomware/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "respond-ransomware", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add dandye/ai-runbooks --skill respond-ransomware -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install dandye/ai-runbooks respond-ransomware --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dandye/ai-runbooks.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/respond-ransomware .cursor/skills/respond-ransomware && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "respond-ransomware" agent skill from https://github.com/dandye/ai-runbooks/tree/main/skills/respond-ransomware into .cursor/skills/respond-ransomware/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "respond-ransomware", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/dandye/ai-runbooks.git --path skills/respond-ransomware--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add dandye/ai-runbooks --skill respond-ransomware -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install dandye/ai-runbooks respond-ransomware --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dandye/ai-runbooks.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/respond-ransomware .gemini/skills/respond-ransomware && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "respond-ransomware" agent skill from https://github.com/dandye/ai-runbooks/tree/main/skills/respond-ransomware into .gemini/skills/respond-ransomware/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "respond-ransomware", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install dandye/ai-runbooks respond-ransomwareInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add dandye/ai-runbooks --skill respond-ransomware -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/dandye/ai-runbooks.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/respond-ransomware .github/skills/respond-ransomware && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "respond-ransomware" agent skill from https://github.com/dandye/ai-runbooks/tree/main/skills/respond-ransomware into .github/skills/respond-ransomware/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "respond-ransomware", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add dandye/ai-runbooks --skill respond-ransomware -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install dandye/ai-runbooks respond-ransomware --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/dandye/ai-runbooks.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/respond-ransomware .opencode/skills/respond-ransomware && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "respond-ransomware" agent skill from https://github.com/dandye/ai-runbooks/tree/main/skills/respond-ransomware into .opencode/skills/respond-ransomware/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "respond-ransomware", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
respond-ransomwareRespond to a ransomware incident following PICERL methodology.
Respond Ransomware is an agent skill from dandye/ai-runbooks. Respond to a ransomware incident following PICERL methodology. Use when ransomware is detected or suspected. Orchestrates identification, containment, eradication, and recovery phases. Requires CASEID and initial indicators.
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Security, covering Security operations. The licence is Apache-2.0.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 72a6863. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Respond Ransomware loads about 1.7k tokens when it runs. Until then it costs about 61 tokens; SKILL.md has 586 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from dandye/ai-runbooks at commit 72a6863, republished under its Apache-2.0 licence (© dandye). 586 words, ~1,654 tokens.
.claude/skills/respond-ransomware/SKILL.md (or your agent's skills folder).Structured workflow for responding to suspected ransomware incidents using the PICERL model.
CASE_ID - SOAR case ID for the incidentALERT_GROUP_IDENTIFIERS - Alert group identifiers from SOARINITIAL_INDICATORS - Initial detection info:After completing each phase, you MUST report these outputs:
| Output | Description |
|---|---|
AFFECTED_SYSTEMS | Systems confirmed infected with ransomware |
RANSOMWARE_VARIANT | Ransomware family/variant identified |
ENCRYPTION_STATUS | Current encryption state of affected systems |
RANSOMWARE_IOCS | File hashes, ransom note patterns, malicious files |
| Output | Description |
|---|---|
ISOLATED_SYSTEMS | Systems successfully isolated from network |
BLOCKED_IOCS | IOCs blocked at firewall/proxy |
C2_INDICATORS | C2 domains/IPs discovered during containment |
| Output | Description |
|---|---|
CLEANED_SYSTEMS | Systems with malware/persistence removed |
REMOVED_PERSISTENCE | Persistence mechanisms identified and removed |
| Output | Description |
|---|---|
RESTORED_SYSTEMS | Systems restored to operational state |
VALIDATION_STATUS | Post-recovery validation results |
Prerequisites - verify before proceeding:
Step 2.1: Get Context
secops-soar.get_case_full_details(case_id=CASE_ID)Use /check-duplicates to verify this isn't already under investigation.
Step 2.2: Identify Ransomware Strain
If file hash available:
gti-mcp.get_file_report(hash=FILE_HASH)If name/family known:
gti-mcp.search_threats(query="LockBit ransomware", collection_type="malware-family")Document: IDENTIFIED_STRAIN
Step 2.3: Investigate Initial Access & Lateral Movement
Search SIEM for activity BEFORE encryption:
secops-mcp.search_security_events(
text="Suspicious logins, RDP, exploit attempts for affected endpoints",
hours_back=168
)Look for:
Identify: INITIAL_ACCESS_VECTOR, POTENTIAL_ADDITIONAL_SYSTEMS
Step 2.4: Initial Scope Assessment
Compile:
AFFECTED_ENDPOINTS - Confirmed infected systemsMALICIOUS_IOCs - Network IOCs (C2 domains/IPs)Step 2.5: Check Related Cases
Use /find-relevant-case with affected entities.
Step 2.6: Document
Use /document-in-case with identification findings.
CRITICAL: Speed is essential. Contain first, investigate deeper later.
Step 3.1: Isolate Affected Endpoints
For each endpoint in AFFECTED_ENDPOINTS and POTENTIAL_ADDITIONAL_SYSTEMS:
Use /confirm-action:
"Isolate endpoint [HOSTNAME] from network?"
If confirmed, trigger endpoint isolation (via EDR or network).
Step 3.2: Block Network IOCs
For each IOC in MALICIOUS_IOCs:
Use /confirm-action:
"Block IOC [VALUE] at firewall/proxy?"
If confirmed, implement blocks.
Step 3.3: Contain User Accounts
If compromised user identified:
→ Trigger /respond-compromised-account
Step 3.4: Verify Containment
Monitor SIEM for continued activity:
secops-mcp.search_security_events(
text="Activity from contained systems or IOCs",
hours_back=1
)Use /document-in-case with containment status.
Step 4.1: Identify Persistence
Review GTI reports for known persistence TTPs of IDENTIFIED_STRAIN.
Common mechanisms:
Step 4.2: Remove Malware & Persistence
(Requires EDR/endpoint tools)
Step 4.3: Scan Systems
Perform thorough AV/EDR scans on affected systems.
Use /document-in-case with eradication actions.
Step 5.1: Check Decryptor Availability
Based on IDENTIFIED_STRAIN, check:
Step 5.2: Determine Recovery Strategy
Options:
Step 5.3: Execute Recovery
(Involves IT Ops/System Admins)
Step 5.4: Monitor & Lift Containment
Use /document-in-case with recovery status.
Use /generate-report with comprehensive incident report.
Conduct post-incident review:
| Phase | Key Actions | Skills Used |
|---|---|---|
| Identification | Strain ID, scope | /check-duplicates, /find-relevant-case |
| Containment | Isolate, block | /confirm-action, /document-in-case |
| Eradication | Remove persistence | EDR tools |
| Recovery | Restore systems | IT Ops coordination |
| Lessons Learned | Report, review | /generate-report |
© dandye, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in skills/respond-ransomware of dandye/ai-runbooks.
Open the folder on GitHubat commit 72a6863
Respond Ransomware next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Respond Ransomware this skilldandye/ai-runbooks | 127 | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | |
| Kubernetes Network Security Auditkubeshark/kubeshark | 12k | — | ~7.3k | Automated safety check: Notes | Apache-2.0 | |
| DefectDojo Vulnerability ManagementAgentSecOps/SecOpsAgentKit | 220 | — | ~2.3k | Automated safety check: Pass | Custom licence | |
| Ecs Operation Reviewaws/tools-for-devops-agent | 103 | — | ~4.8k | Automated safety check: Pass | Apache-2.0 | |
| Deploying Osquery For Endpoint Monitoringmukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | |
| Hunting For Webshell Activitymukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~904 | Automated safety check: Pass | Apache-2.0 |
kubeshark/kubeshark
Hunts for compromised workloads and malicious traffic in a Kubernetes cluster by sweeping network data through Kubeshark MCP, mapped to MITRE ATT&CK.
AgentSecOps/SecOpsAgentKit
Aggregates scanner results into DefectDojo, deduplicates findings, tracks remediation SLAs and prepares compliance reports across products and pipelines.
aws/tools-for-devops-agent
Performs a comprehensive Amazon ECS operations review across the 6 review pillars (Resiliency & HA, Observability, Security, Operations, Performance, Additional Analysis) using read-only AWS APIs…
mukul975/Anthropic-Cybersecurity-Skills
Deploys and configures osquery for real-time endpoint monitoring using SQL-based queries to inspect running processes, open ports, installed software, and system configuration.
mukul975/Anthropic-Cybersecurity-Skills
Runs a hypothesis-driven threat hunt for web shell deployment (T1505.003) on internet-facing servers by analyzing file creation in web directories, suspicious child-process spawning from web server…
mukul975/Anthropic-Cybersecurity-Skills
Deploy and configure Zeek (formerly Bro) to passively analyze network traffic, generate structured connection/DNS/HTTP/SSL/file logs, detect anomalous behavior, and write custom scripts for…
dandye/ai-runbooks
Close a case or alert with proper reason and documentation. An agent skill from dandye/ai-runbooks.
dandye/ai-runbooks
Check for existing SIEM alerts and case management entries related to IOCs.
dandye/ai-runbooks
Perform exhaustive analysis of a critical IOC. An agent skill from dandye/ai-runbooks.
dandye/ai-runbooks
Enrich an IOC (IP, domain, hash, URL) with threat intelligence.
dandye/ai-runbooks
Search for existing cases related to specific indicators or entities.
dandye/ai-runbooks
Complete Tier 1 triage workflow. An agent skill from dandye/ai-runbooks.
Categories
Respond to a ransomware incident following PICERL methodology. Respond Ransomware is an agent skill from dandye/ai-runbooks. Respond to a ransomware incident following PICERL methodology.
Respond Ransomware fits situations like: ransomware is detected; tasks that involve Security operations.
Run `npx skills add dandye/ai-runbooks --skill respond-ransomware -a claude-code`. Or copy the skill folder (skills/respond-ransomware in dandye/ai-runbooks) into .claude/skills/respond-ransomware in your project. Claude Code loads it when a task matches its description.
Run `npx skills add dandye/ai-runbooks --skill respond-ransomware -a codex`. Or copy the skill folder (skills/respond-ransomware in dandye/ai-runbooks) into .agents/skills/respond-ransomware in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add dandye/ai-runbooks --skill respond-ransomware -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/respond-ransomware, .gemini/skills/respond-ransomware, .github/skills/respond-ransomware and .opencode/skills/respond-ransomware in your project.
SKILL.md names no scripts, command-line tools or credentials: Respond Ransomware is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Respond Ransomware is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.7k tokens (SKILL.md is roughly 6.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Respond Ransomware: Kubernetes Network Security Audit (kubeshark/kubeshark, 12k stars), DefectDojo Vulnerability Management (AgentSecOps/SecOpsAgentKit, 220 stars), Ecs Operation Review (aws/tools-for-devops-agent, 103 stars) and Deploying Osquery For Endpoint Monitoring (mukul975/Anthropic-Cybersecurity-Skills, 34k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
dandye (a GitHub user) maintains it in dandye/ai-runbooks, which has 127 GitHub stars. The repository holds 27 skills in this directory. The repository was last updated on August 14, 2026.
Source: dandye/ai-runbooks on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.