Kubernetes Network Security Audit
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Design comprehensive metadata frameworks. An agent skill from dandye/ai-runbooks.
Install Design Metadata Schema
$ npx skills add dandye/ai-runbooks --skill design-metadata-schema -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install dandye/ai-runbooks design-metadata-schema --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/design-metadata-schema .claude/skills/design-metadata-schema && 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 "design-metadata-schema" agent skill from https://github.com/dandye/ai-runbooks/tree/main/skills/design-metadata-schema into .claude/skills/design-metadata-schema/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "design-metadata-schema", 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/design-metadata-schemaType 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 design-metadata-schema -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install dandye/ai-runbooks design-metadata-schema --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/design-metadata-schema .agents/skills/design-metadata-schema && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "design-metadata-schema" agent skill from https://github.com/dandye/ai-runbooks/tree/main/skills/design-metadata-schema into .agents/skills/design-metadata-schema/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "design-metadata-schema", 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 design-metadata-schema -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install dandye/ai-runbooks design-metadata-schema --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/design-metadata-schema .cursor/skills/design-metadata-schema && 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 "design-metadata-schema" agent skill from https://github.com/dandye/ai-runbooks/tree/main/skills/design-metadata-schema into .cursor/skills/design-metadata-schema/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "design-metadata-schema", 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/design-metadata-schema--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 design-metadata-schema -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install dandye/ai-runbooks design-metadata-schema --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/design-metadata-schema .gemini/skills/design-metadata-schema && 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 "design-metadata-schema" agent skill from https://github.com/dandye/ai-runbooks/tree/main/skills/design-metadata-schema into .gemini/skills/design-metadata-schema/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "design-metadata-schema", 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 design-metadata-schemaInstalls 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 design-metadata-schema -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/design-metadata-schema .github/skills/design-metadata-schema && 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 "design-metadata-schema" agent skill from https://github.com/dandye/ai-runbooks/tree/main/skills/design-metadata-schema into .github/skills/design-metadata-schema/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "design-metadata-schema", 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 design-metadata-schema -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 design-metadata-schema --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/design-metadata-schema .opencode/skills/design-metadata-schema && 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 "design-metadata-schema" agent skill from https://github.com/dandye/ai-runbooks/tree/main/skills/design-metadata-schema into .opencode/skills/design-metadata-schema/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "design-metadata-schema", 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
design-metadata-schema- GitHub stars
- 127
- Token cost
- ~588 tokens
- SKILL.md length
- 236 words
- Files
- 1
- Skills in repo
- 27
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Design comprehensive metadata frameworks. An agent skill from dandye/ai-runbooks.
- Works in 4 steps: Requirement Analysis → Schema Definition → Constraints & Validation → …
- 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
Design Metadata Schema is an agent skill from dandye/ai-runbooks. Design comprehensive metadata frameworks. Develops structured metadata templates and tagging systems.
Its SKILL.md is about 590 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
- “/design-metadata-schema”
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
Design Metadata Schema loads about 588 tokens when it runs. Until then it costs about 31 tokens; SKILL.md has 236 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). 236 words, ~588 tokens.
Download SKILL.mdSave it as
.claude/skills/design-metadata-schema/SKILL.md (or your agent's skills folder).- name
- design-metadata-schema
- description
- Design comprehensive metadata frameworks. Develops structured metadata templates and tagging systems.
- type
- Skill
- required_roles.scribe
- roles/scribe.editor
- personas
- information-architect, data-architect, content-strategist
- generated.by
- process:google-labs-jules
- generated.at
- 2026-01-29T21:19:07Z
Design Metadata Schema Skill
Develop a comprehensive metadata schema for content management. This skill defines structured fields, validation rules, and standards compliance to improve searchability and management.
Inputs
PATH- The content domain to apply the schema to (e.g., "/content")OUTPUT_FORMAT- (Optional) The output format for the schema, e.g., "json-schema", "xml", "markdown" (default: "json-schema")DUBLIN_CORE- (Optional) Boolean, whether to align with Dublin Core standards (default: true)CUSTOM_FIELDS- (Optional) List of custom business-specific fields to includeVALIDATION_RULES- (Optional) Boolean, whether to define validation logic for fields (default: true)
Workflow
Step 1: Requirement Analysis
Analyze the content types at PATH to determine metadata needs.
- Identify common attributes (Title, Date, Author).
- Identify specific attributes (Product ID, Version, Region).
Step 2: Schema Definition
Define the fields and their properties.
- Standard Fields: Map to Dublin Core (Title, Creator, Subject, etc.) if enabled.
- Custom Fields: Define fields specified in
CUSTOM_FIELDSor discovered during analysis.
Step 3: Constraints & Validation
If VALIDATION_RULES is true, define:
- Data Types: String, Date, Integer, Boolean, Enum.
- Required/Optional: Cardinality constraints.
- Controlled Vocabularies: Allowed values for specific fields.
Step 4: Schema Output
Generate the schema definition in the requested OUTPUT_FORMAT (e.g., JSON Schema, XML Schema, or Markdown Table).
Required Outputs
A METADATA_SCHEMA object in the specified OUTPUT_FORMAT containing:
- Field Dictionary: Name, Description, Type, Multiplicity.
- Validation Logic: Rules for data entry.
- Mapping: Correspondence to standards (like Dublin Core).
Quick Reference
- Purpose: Standardize content tagging for consistency and interoperability.
- Standards: Dublin Core, Schema.org.
© 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/design-metadata-schema of dandye/ai-runbooks.
Open the folder on GitHubat commit 72a6863
Compare with similar skills
Design Metadata Schema 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 |
|---|---|---|---|---|---|---|
| Design Metadata Schema this skilldandye/ai-runbooks | 127 | — | ~588 | 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 | 678 | — | ~1.1k | Automated safety check: Pass | Apache-2.0 |
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Categories
Questions about Design Metadata Schema
What does Design Metadata Schema do?
Design comprehensive metadata frameworks. An agent skill from dandye/ai-runbooks. Design Metadata Schema is an agent skill from dandye/ai-runbooks. Design comprehensive metadata frameworks.
When should I use Design Metadata Schema?
Design Metadata Schema fits situations like: security work in your project.
How do I install Design Metadata Schema in Claude Code?
Run `npx skills add dandye/ai-runbooks --skill design-metadata-schema -a claude-code`. Or copy the skill folder (skills/design-metadata-schema in dandye/ai-runbooks) into .claude/skills/design-metadata-schema in your project. Claude Code loads it when a task matches its description.
How do I install Design Metadata Schema in Codex?
Run `npx skills add dandye/ai-runbooks --skill design-metadata-schema -a codex`. Or copy the skill folder (skills/design-metadata-schema in dandye/ai-runbooks) into .agents/skills/design-metadata-schema in your project. Codex loads it when a task matches its description.
Can I use Design Metadata Schema 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 design-metadata-schema -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/design-metadata-schema, .gemini/skills/design-metadata-schema, .github/skills/design-metadata-schema and .opencode/skills/design-metadata-schema in your project.
What does Design Metadata Schema need to run?
SKILL.md names no scripts, command-line tools or credentials: Design Metadata Schema is instructions for the agent only.
Does Design Metadata Schema 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 Design Metadata Schema 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 Design Metadata Schema use?
Design Metadata Schema 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 Design Metadata Schema use?
About 588 tokens (SKILL.md is roughly 2.4k 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 Design Metadata Schema?
Skills that share tags, products or a category with Design Metadata Schema: 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 Design Metadata Schema?
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.