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.
Develop hierarchical classification systems. An agent skill from dandye/ai-runbooks.
Install Generate Taxonomy
$ npx skills add dandye/ai-runbooks --skill generate-taxonomy -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install dandye/ai-runbooks generate-taxonomy --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/generate-taxonomy .claude/skills/generate-taxonomy && 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 "generate-taxonomy" agent skill from https://github.com/dandye/ai-runbooks/tree/main/skills/generate-taxonomy into .claude/skills/generate-taxonomy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-taxonomy", 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/generate-taxonomyType 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 generate-taxonomy -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install dandye/ai-runbooks generate-taxonomy --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/generate-taxonomy .agents/skills/generate-taxonomy && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "generate-taxonomy" agent skill from https://github.com/dandye/ai-runbooks/tree/main/skills/generate-taxonomy into .agents/skills/generate-taxonomy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-taxonomy", 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 generate-taxonomy -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install dandye/ai-runbooks generate-taxonomy --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/generate-taxonomy .cursor/skills/generate-taxonomy && 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 "generate-taxonomy" agent skill from https://github.com/dandye/ai-runbooks/tree/main/skills/generate-taxonomy into .cursor/skills/generate-taxonomy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-taxonomy", 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/generate-taxonomy--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 generate-taxonomy -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install dandye/ai-runbooks generate-taxonomy --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/generate-taxonomy .gemini/skills/generate-taxonomy && 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 "generate-taxonomy" agent skill from https://github.com/dandye/ai-runbooks/tree/main/skills/generate-taxonomy into .gemini/skills/generate-taxonomy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-taxonomy", 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 generate-taxonomyInstalls 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 generate-taxonomy -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/generate-taxonomy .github/skills/generate-taxonomy && 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 "generate-taxonomy" agent skill from https://github.com/dandye/ai-runbooks/tree/main/skills/generate-taxonomy into .github/skills/generate-taxonomy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-taxonomy", 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 generate-taxonomy -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 generate-taxonomy --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/generate-taxonomy .opencode/skills/generate-taxonomy && 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 "generate-taxonomy" agent skill from https://github.com/dandye/ai-runbooks/tree/main/skills/generate-taxonomy into .opencode/skills/generate-taxonomy/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "generate-taxonomy", 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.
Facts
- Skill name
generate-taxonomy- GitHub stars
- 127
- Token cost
- ~561 tokens
- SKILL.md length
- 227 words
- Files
- 1
- Skills in repo
- 27
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Develop hierarchical classification systems. An agent skill from dandye/ai-runbooks.
- Works in 4 steps: Content Analysis & Term Extraction → Structure Design → Business & User Alignment → …
- Security work in your project
- SKILL.md covers Inputs, Workflow, Required Outputs and Quick Reference
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Generate Taxonomy is an agent skill from dandye/ai-runbooks. Develop hierarchical classification systems. Creates parent-child categorical structures for content organization.
Its SKILL.md is about 560 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. The licence is Apache-2.0.
When your agent uses it
- Security work in your project
Example prompts
- “/generate-taxonomy”
Workflow steps
4 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit 72a6863. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
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.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Generate Taxonomy loads about 561 tokens when it runs. Until then it costs about 33 tokens; SKILL.md has 227 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from dandye/ai-runbooks at commit 72a6863, republished under its Apache-2.0 licence (© dandye). 227 words, ~561 tokens.
Download SKILL.mdSave it as
.claude/skills/generate-taxonomy/SKILL.md (or your agent's skills folder).- name
- generate-taxonomy
- description
- Develop hierarchical classification systems. Creates parent-child categorical structures for content organization.
- type
- Skill
- required_roles.scribe
- roles/scribe.editor
- personas
- information-architect, taxonomist, knowledge-manager
- generated.by
- process:google-labs-jules
- generated.at
- 2026-01-29T21:19:07Z
Generate Taxonomy Skill
Develop a hierarchical classification system or taxonomy for a knowledge base or content repository. This skill creates parent-child categorical structures to organize content effectively.
Inputs
PATH- The content source to analyze (e.g., "/knowledge-base")FACETED- (Optional) Boolean, whether to create a faceted classification (multiple dimensions) (default: false)BUSINESS_ALIGNMENT- (Optional) Boolean, whether to align with specific business goals/terminology (default: true)USER_TESTING- (Optional) Boolean, whether to include user validation methodologies in the output (default: false)
Workflow
Step 1: Content Analysis & Term Extraction
Analyze the content at PATH to identify key topics, subjects, and categories.
- Cluster documents by similarity.
- Extract common tags and keywords.
Step 2: Structure Design
Organize the extracted concepts into a hierarchy.
- Hierarchical: Define Broader Terms (Parent) and Narrower Terms (Child).
- Faceted (if enabled): Define dimensions (e.g., Topic, Format, Audience, Region).
Step 3: Business & User Alignment
- Align terms with business vocabulary (if
BUSINESS_ALIGNMENTis true). - If
USER_TESTINGis true, generate a plan for card sorting or tree testing to validate the structure.
Step 4: Taxonomy Definition
Output the defined taxonomy.
Required Outputs
A TAXONOMY_DEFINITION document (e.g., in markdown or YAML format) containing:
- Taxonomy Tree: Visual or indented list of categories.
- Facets (if requested): Definitions of classification dimensions.
- Rules: Guidelines for applying the taxonomy.
- Testing Plan (if requested): Methodologies for validation.
Quick Reference
- Purpose: Systematically classify content for retrieval optimization.
- Types: Hierarchical (Tree) vs. Faceted (Matrix).
© 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
Files
Just SKILL.md in skills/generate-taxonomy of dandye/ai-runbooks.
Open the folder on GitHubat commit 72a6863
Compare with similar skills
Generate Taxonomy 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 |
|---|---|---|---|---|---|---|
| Generate Taxonomy this skilldandye/ai-runbooks | 127 | — | ~561 | Automated safety check: Pass | Apache-2.0 | |
| Kubernetes Network Security Auditkubeshark/kubeshark | 12k | — | ~7.3k | Automated safety check: Notes | Apache-2.0 | |
| Google Cloud PAM Helpergoogle/skills | 21k | — | ~3.2k | Automated safety check: Pass | Apache-2.0 | |
| Cyberowlaikarimhabush/cyberowl | 263 | — | ~2.5k | Automated safety check: Pass | MIT | |
| DefectDojo Vulnerability ManagementAgentSecOps/SecOpsAgentKit | 220 | — | ~2.3k | Automated safety check: Pass | Custom licence | |
| Runtime Provisionernealbridges/VulnHunter | 666 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 |
Similar skills
- Official
Google Cloud PAM Helper
google/skills
Manages Google Cloud Privileged Access Manager entitlements and grants: create and edit entitlements, request temporary access, and approve or deny pending grants.
Cyberowlai
karimhabush/cyberowl
Check if recent cybersecurity alerts from 10 international CERTs affect your current project.
DefectDojo Vulnerability Management
AgentSecOps/SecOpsAgentKit
Aggregates scanner results into DefectDojo, deduplicates findings, tracks remediation SLAs and prepares compliance reports across products and pipelines.
Runtime Provisioner
nealbridges/VulnHunter
VulnHunter sandbox-depth decision procedure. An agent skill from nealbridges/VulnHunter.
Vpn Security Check
Sergei-thinker/vpn-setup
Infrastructure security audit for VPN server. An agent skill from Sergei-thinker/vpn-setup.
More from dandye/ai-runbooks
All 27 skills in this repoClose Case Artifact
dandye/ai-runbooks
Close a case or alert with proper reason and documentation. An agent skill from dandye/ai-runbooks.
Correlate Ioc
dandye/ai-runbooks
Check for existing SIEM alerts and case management entries related to IOCs.
Deep Dive Ioc
dandye/ai-runbooks
Perform exhaustive analysis of a critical IOC. An agent skill from dandye/ai-runbooks.
Enrich Ioc
dandye/ai-runbooks
Enrich an IOC (IP, domain, hash, URL) with threat intelligence.
Find Relevant Case
dandye/ai-runbooks
Search for existing cases related to specific indicators or entities.
Full Alert Triage
dandye/ai-runbooks
Complete Tier 1 triage workflow. An agent skill from dandye/ai-runbooks.
Related
Categories
Questions about Generate Taxonomy
What does Generate Taxonomy do?
Develop hierarchical classification systems. An agent skill from dandye/ai-runbooks. Generate Taxonomy is an agent skill from dandye/ai-runbooks. Develop hierarchical classification systems.
When should I use Generate Taxonomy?
Generate Taxonomy fits situations like: security work in your project.
How do I install Generate Taxonomy in Claude Code?
Run `npx skills add dandye/ai-runbooks --skill generate-taxonomy -a claude-code`. Or copy the skill folder (skills/generate-taxonomy in dandye/ai-runbooks) into .claude/skills/generate-taxonomy in your project. Claude Code loads it when a task matches its description.
How do I install Generate Taxonomy in Codex?
Run `npx skills add dandye/ai-runbooks --skill generate-taxonomy -a codex`. Or copy the skill folder (skills/generate-taxonomy in dandye/ai-runbooks) into .agents/skills/generate-taxonomy in your project. Codex loads it when a task matches its description.
Can I use Generate Taxonomy in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add dandye/ai-runbooks --skill generate-taxonomy -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/generate-taxonomy, .gemini/skills/generate-taxonomy, .github/skills/generate-taxonomy and .opencode/skills/generate-taxonomy in your project.
What does Generate Taxonomy need to run?
SKILL.md names no scripts, command-line tools or credentials: Generate Taxonomy is instructions for the agent only.
Does Generate Taxonomy access the network?
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.
Is Generate Taxonomy safe to install?
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.
What licence does Generate Taxonomy use?
Generate Taxonomy 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.
How many tokens does Generate Taxonomy use?
About 561 tokens (SKILL.md is roughly 2.2k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Generate Taxonomy?
Skills that share tags, products or a category with Generate Taxonomy: Kubernetes Network Security Audit (kubeshark/kubeshark, 12k stars), Google Cloud PAM Helper (google/skills, 21k stars), Cyberowlai (karimhabush/cyberowl, 263 stars) and DefectDojo Vulnerability Management (AgentSecOps/SecOpsAgentKit, 220 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Generate Taxonomy?
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.