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design-metadata-schema

design-metadata-schema is a skill for Claude Code, Codex from dandye/ai-runbooks. It costs 19 tokens per session (539 once invoked), scanned A, original, Apache-2.0.

A method for designing a structured metadata system: fields, tags, formats, and validation rules that describe content. It can align the design with Dublin Core, a widely used standard for describing resources such as documents and web pages.

In plain words
What is it for?
Use it to inspect a content area, identify shared and domain-specific fields, and produce a schema in formats such as JSON Schema, XML, or Markdown. It can include custom fields and validation logic.
Why use it?
It makes content easier to search, organize, and manage by defining consistent information to store with each item. It also helps prevent incomplete or invalid metadata.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

not rated 132repo 2mo ago A scan SkillSpector: pass 19 tokens original Apache-2.0

Good fit Use it to inspect a content area, identify shared and domain-specific fields, and produce a schema in formats such as JSON Schema, XML, or Markdown. It can include custom fields and validation logic.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/dandye/ai-runbooks/design-metadata-schema
View source ↗ dandye/ai-runbooks
Install

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.

Any agent
npx skills add dandye/ai-runbooks --skill design-metadata-schema
Clone the repo
git clone --depth 1 https://github.com/dandye/ai-runbooks

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for design-metadata-schema

README.md
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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.

agentmods 80×15 button for design-metadata-schema

Your own site · 80×15
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Per session 19 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 539 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00019 $0.00539
Opus 5.5 $0.00008 $0.00216
Sonnet 5.5 $0.00004 $0.00108
Haiku 4.5 $0.00002 $0.00054

Measured 2mo ago against content hash 51a8febef5f3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

design-metadata-schema 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 2mo 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.

skills/design-metadata-schema/SKILL.md · 61 lines

How it starts

The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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 include
  • VALIDATION_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_FIELDS or 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.

Read the full file on GitHub · 61 lines

Changes

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.

  1. 2mo ago First seen · 61 lines · 19 tokens per session scan A 51a8febef5f3

Subscribe to this mod's changes

design-metadata-schema is a skill published in the GitHub repository dandye/ai-runbooks (132 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 19 tokens to every session and 539 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-30.

DocumentsResearch
Related

design-metadata-schema compared with skills from other repositories

design-metadata-schema next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
design-metadata-schemadandye/ai-runbooksSkill1322mo agoApache-2.0A19Claude Code, Codex
orbit-notionnexu-io/open-designSkill107ktodayApache-2.0A117Claude Code, Codex
instrument-data-to-allotropeanthropics/knowledge-work-pluginsSkill35k2d agoApache-2.0A123Claude Code
apify-youtube-transcript-scrapersickn33/agentic-awesome-skillsSkill49k2d agoMITA48Claude Code
legal-holdanthropics/claude-for-legalSkill9.9kyesterdayApache-2.0A68Claude Code
report-to-pdfasgeirtj/system_prompts_leaksSkill71ktodayCC0-1.0A17Claude Code, Codex
artifact-template-minimal-letterheadasgeirtj/system_prompts_leaksSkill71ktodayCC0-1.0A54Claude Code, Codex