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.
npx skills add danielrosehill/Claude-Taxonomy-Creation-Plugin --skill onboardinggit clone --depth 1 https://github.com/danielrosehill/Claude-Taxonomy-Creation-PluginWrote 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/danielrosehill/claude-taxonomy-creation-plugin/onboarding)<a href="https://agentmods.dev/skills/danielrosehill/claude-taxonomy-creation-plugin/onboarding"><img src="https://agentmods.dev/badge/skills/danielrosehill/claude-taxonomy-creation-plugin/onboarding.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00032 | $0.01139 |
| Opus 5 | $0.00016 | $0.00570 |
| Sonnet 5 | $0.00006 | $0.00228 |
| Haiku 4.5 | $0.00003 | $0.00114 |
Grade A, and why
onboarding 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Onboarding
Learn how to use the Taxonomy Creation Plugin: what it does, how to invoke each skill, the directory structure, and a worked example.
When to use
- "How do I use this plugin?"
- "Show me an example of creating and loading a taxonomy"
- "Where does the data go?"
Procedure
What this plugin does
The Taxonomy Creation Plugin generates and manages lookup tables and hierarchical taxonomies:
- Standard taxonomies: ISO 3166 countries, ISO 4217 currencies, ISO 639 languages, US states, Canadian provinces, IANA timezones, HTTP status codes, MIME types.
- Custom taxonomies: From a natural-language spec (e.g., "types of evaluations", product categories, content classifications).
- Hierarchical taxonomies: Parent/child trees (categories/subcategories, organizational structures).
- Load & export: Push to Postgres, SQLite, MySQL; or export to CSV, JSON, NDJSON, SQL, YAML.
Data directory structure
All data lives under:
${CLAUDE_USER_DATA:-${XDG_DATA_HOME:-$HOME/.local/share}/claude-plugins}/taxonomy-creation/
├── data/ # Generated taxonomies, ready-to-load
│ ├── countries/
│ │ ├── countries-iso-3166-1.csv
│ │ ├── countries-iso-3166-1.json
│ │ ├── README.md # Schema and source documentation
│ │ └── exports/ # Alternative formats (JSON, SQL, NDJSON, etc.)
│ └── eval-types/ # Custom taxonomy example
├── cache/ # Cached standard datasets (30-day TTL)
├── state/ # Operational logs
│ ├── loads/ # Load operation logs
│ ├── validations/ # Validation reports
│ └── exports/ # Export operation logs
└── config.json # (Optional) settings: paths, dataset sources, pins
No default config.json is required; all operations are self-contained.
Typical workflow
- Generate a taxonomy:
generate-standard— Pull ISO countries, currencies, languages, or other standard dataset.generate-from-spec— Build a custom taxonomy from a description.hierarchical-taxonomies— Create a tree structure (categories/subcategories).
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.
- 8d ago First seen · 97 lines · 32 tokens per session scan A bec9ac2eea18
onboarding is a skill published in the GitHub repository danielrosehill/Claude-Taxonomy-Creation-Plugin (3 stars, last pushed 4mo ago), licensed MIT. It adds 32 tokens to every session and 1,139 once invoked, about $0.0002 per session on Opus 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 2026-08-31.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…