wicked-garden-classify

wicked-garden-classify is a skill for Claude Code from mikeparcewski/wicked-garden. It costs 116 tokens per session (2,023 once invoked), scanned B, original, MIT.

A prompt-classification skill that identifies the kind of work a request describes and routes the session accordingly.

In plain words
What is it for?
Use it to classify a request into a work-shape archetype before continuing with the appropriate workflow.
Why use it?
It handles paraphrased or ambiguous requests that simple word-matching rules may miss. The chosen work type remains available for the rest of the session.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the wicked-garden plugin — 147 skills, 5 commands, 1 agent, 13 hooks shipped together

Good fit Use it to classify a request into a work-shape archetype before continuing with the appropriate workflow.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add mikeparcewski/wicked-garden
Claude Code
/plugin install wicked-garden

Made for: Claude Code.

Or install wicked-garden, the plugin that ships this one along with the rest of its 147 skills, 5 commands, 1 agent, 13 hooks.

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 wicked-garden-classify

README.md
[![agentmods](https://agentmods.dev/badge/skills/mikeparcewski/wicked-garden/classify.svg)](https://agentmods.dev/skills/mikeparcewski/wicked-garden/classify)
Your own site
<a href="https://agentmods.dev/skills/mikeparcewski/wicked-garden/classify"><img src="https://agentmods.dev/badge/skills/mikeparcewski/wicked-garden/classify.svg" alt="Measured on agentmods" height="20"></a>
Per session 116 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,023 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00116 $0.02023
Opus 5 $0.00058 $0.01012
Sonnet 5 $0.00023 $0.00405
Haiku 4.5 $0.00012 $0.00202

Measured 7d ago against content hash 67e14cb9d9b3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade B, and why

wicked-garden-classify scanned grade B with 1 finding 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 7d 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.

Unrestricted tool accessmediumExcessive agency

A wildcard tool grant or "run any command" leaves no least-privilege boundary at all.

allowed-tools: ["*"]
skills/classify/SKILL.md · 181 lines

How it starts

The opening of the file, as written. The whole thing — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/wicked-garden:classify

You are classifying a prompt into a v11 work-shape archetype. Your output drives downstream archetype routing for the rest of the session (until the user changes scope or invokes this skill again).

Why this exists

The v11 hook auto-classifier is a regex + boolean-signal heuristic. It works for prompts whose vocabulary matches the catalog phrase lists, but it misses paraphrases and underuses signals. You are a better classifier than regex. This skill is the path to use the model's full reasoning on the classification step, then persist the result so the rest of the session benefits without re-running classification on every turn.

Routing model (council-is-the-router)

This skill is the session router. The former wicked-signals product (a separate text-in / intent-out classifier) was archived because intent / work-shape classification is a native model capability — the router is just a model reading the prompt with full tool access (allowed-tools: ["*"]), which is exactly this skill. Read it as one council member making the routing call on the fast path.

When a routing or decision call is genuinely hard, ambiguous, or high-stakes, escalate to the multi-model council (wicked-garden-jamcouncil, worker wicked-garden-jam-council): multiple independent models deliberate, still with garden tools for additional processing. The council is the escalation, not a per-prompt router — convening 20 CLIs on every prompt would be absurd cost.

  • Fast path (always on) — the prompt_submit hook emits <wg classify-due />, you classify + persist here, the parent turn steers on the persisted archetype.
  • Escalation (on demand)wicked-garden-jam council <question> --options "…".

What the catalog declares

.claude-plugin/archetypes.json defines the work-shape archetypes. Read it once at the start of this skill. Summary table:

Archetype Phases Use when
triage classify prompt is genuinely ambiguous; ask for clarification
explore frame → diverge → converge open problem space, multiple paths, brainstorm
specify elicit → structure → validate requirements / acceptance criteria need writing
decide brief → options → score → record 2+ viable options, need an ADR
ship canary → ramp → full → soak already-built change being rolled out
review scope → assess → findings → remediate-or-accept independent assessment of an artifact
incident triage → investigate → mitigate → resolve → followup live production failure
build plan → implement → test → review implement a feature or fix (most common)
migrate plan → expand → backfill → cutover → contract in-place shape change with rollback proof
modernize discover → extract → blueprint → transform → parity → cutover port a legacy codebase to a new stack (NOT in-place)

Read the full file on GitHub · 181 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. 7d ago First seen · 181 lines · 116 tokens per session scan B 67e14cb9d9b3

Subscribe to this mod's changes

wicked-garden-classify is a skill published in the GitHub repository mikeparcewski/wicked-garden (9 stars, last pushed 2d ago), licensed MIT. It adds 116 tokens to every session and 2,023 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it B with 1 finding (unrestricted tool access). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

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…

microsoft/ai-agents-for-beginners · 200 tokens

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…

vercel/next.js · 95 tokens

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…

vercel/next.js · 103 tokens

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…

microsoft/vscode · 72 tokens

babysit-pr

Babysit a GitHub pull request after creation by continuously polling review comments, CI checks/workflow runs, and mergeability state until the PR is merged/closed or user help is required. Diagnose failures, retry likely flaky failures up to 3 times, auto-fix/push branch-related issues when appropriate, and keep…

openai/codex · 114 tokens