route-work-to-the-right-model

route-work-to-the-right-model is a skill for Claude Code, Codex from everywan-dev/claude-code-engineering. It costs 49 tokens per session (964 once invoked), scanned A, original, Apache-2.0.

A decision guide for choosing how much checking a code change needs, including which AI model and reviewers to use. It considers the kind of work and the files being changed.

In plain words
What is it for?
Use it before starting a change to choose between a small review and several independent reviews, such as security, data, or challenge-focused checks.
Why use it?
It prevents review effort from being decided hastily by the person making the change. The guide gives a repeatable recommendation, but does not block the work.

Skill for Claude CodeCodex

Installs and runs on its own, but its text points at files inside its plugin — anything it tells you to read at a ${CLAUDE_PLUGIN_ROOT} path is only there once the plugin is installed. Installing the plugin gets both.

Part of the claude-code-engineering plugin — 53 skills, 1 command, 8 agents, 1 hook shipped together

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.

agentmods
npx agentmods add skills/everywan-dev/claude-code-engineering/route-work-to-the-right-model
Any agent
npx skills add everywan-dev/claude-code-engineering --skill route-work-to-the-right-model
Clone the repo
git clone --depth 1 https://github.com/everywan-dev/claude-code-engineering

Made for: Claude Code, Codex.

Or install claude-code-engineering, the plugin that ships this one along with the rest of its 53 skills, 1 command, 8 agents, 1 hook.

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 route-work-to-the-right-model

README.md
[![agentmods](https://agentmods.dev/badge/skills/everywan-dev/claude-code-engineering/route-work-to-the-right-model.svg)](https://agentmods.dev/skills/everywan-dev/claude-code-engineering/route-work-to-the-right-model)
Your own site
<a href="https://agentmods.dev/skills/everywan-dev/claude-code-engineering/route-work-to-the-right-model"><img src="https://agentmods.dev/badge/skills/everywan-dev/claude-code-engineering/route-work-to-the-right-model.svg" alt="Measured on agentmods" height="20"></a>
Per session 49 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 964 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00049 $0.00964
Opus 5 $0.00024 $0.00482
Sonnet 5 $0.00010 $0.00193
Haiku 4.5 $0.00005 $0.00096

Measured 5d ago against content hash 8cc2b5ebd3ca, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

route-work-to-the-right-model 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 5d 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/route-work-to-the-right-model/SKILL.md · 99 lines

How it starts

The opening of the file, as written. The whole thing — 99 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Route work to the right model

Deciding how much validation a change needs, per change, in the moment, is how teams end up validating nothing.

The decision always gets made under pressure, by the person who most wants the answer to be "not much". So it is made in advance, from the kind of work, by a table you can read and argue with when nothing is on fire.

Ask it

validated-memory route "what you are about to do" [--path FILE ...] [--json]

Running from the installed plugin, where the CLI is not on PATH:

PYTHONPATH="${CLAUDE_PLUGIN_ROOT}" python3 -m validated_memory route "what you are about to do"

It answers with a level, the number of validations, which agents, which model, and which effort. It exits 0 always: this advises, it does not gate.

$ validated-memory route "small tweak to the checkout flow" --path src/billing/refund.py
Level 3 — 3 validations

  matched money: billing, checkout, refund
  matched touched path: billing

  model   : opus
  effort  : high
  agents  : security-reviewer, data-reviewer, devils-advocate

  Three, and the devil's advocate has to actively try to break it.

"Small tweak" is a description of intent. The paths and the words are a description of risk, and only one of those two decides.

The three levels

Level Kind of work Validations Model Effort
1 Cosmetic, documentation, anything that never reaches production 1 small low
2 Production code, service config, CI, dependencies 2 independent mid medium
3 Auth, permissions, money, customer data, migrations, network, certificates, deletions 3, one trying to break it large high

The one hard rule

Nothing at level 3 runs on the small model.

Saving tokens is worth it exactly where being wrong is cheap. It is never worth it where being wrong means an outage, a breach, or someone's money. That rule is asserted in code, not left to good intentions — see route.py and the tests that pair every level-3 phrase against the model it was given.

Read the full file on GitHub · 99 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. 5d ago First seen · 99 lines · 49 tokens per session scan A 8cc2b5ebd3ca

Subscribe to this mod's changes

route-work-to-the-right-model is a skill published in the GitHub repository everywan-dev/claude-code-engineering (2 stars, last pushed 4d ago), licensed Apache-2.0. It adds 49 tokens to every session and 964 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.

Related

Other skills, from other repositories

claude-project-manifest

Creates annotated bibliography-style manifests for Claude projects, tracking files, conversation threads, and relationships with unique IDs and annotations. Use when documenting project contents, creating file inventories, tracking conversation history, or building navigable knowledge maps.

organvm-iv-taxis/a-i--skills · 50 tokens

proofpress

Preserve or inspect decision history for Markdown and static HTML knowledge artifacts with Proofpress. Use when creating or accepting a meaningful revision to an ADR, design doc, PRD, README, strategy note, portable .md artifact, or static .html/.htm artifact in a configured repository, or when receiving a file…

chenmingtang830/proofpress · 82 tokens

book-to-skill

Use when convert technical books and documents (PDF, EPUB, DOCX, HTML, Markdown, RTF, MOBI) into structured agent skills with frameworks, mental models, chapter references, and decision rules. Includes full extraction pipeline. Use when the user wants to turn a book or document collection into a reusable agent skill…

oyi77/1ai-skills · 74 tokens

proofpress-governed-context

Use Proofpress governed context when a task must rely on or hand off durable agent-produced knowledge, including evidence-backed decisions, experiment results, integration contracts, or incident learnings. Retrieve eligible context before relying on it; submit bounded proposals and receipts when a durable outcome is…

chenmingtang830/proofpress · 78 tokens

llm-wiki

Maintain a personal team knowledge base using the LLM Wiki pattern — incremental ingest, query, and lint operations on a layered wiki architecture.

TheSmuks/ai-project-template · 31 tokens

Principle Synthesizer

Synthesize invariant principles from 3+ sources — find the core that survives across all expressions.

live-neon/skills · 25 tokens