model-tiering

model-tiering is a skill for Claude Code, Codex from PrabhdeepSingh/claude-plugins. It costs 93 tokens per session (2,168 once invoked), scanned A, original, MIT.

A planning and delegation method that assigns each plan step to the least expensive model tier likely to complete it reliably. A model tier is a level of AI capability, while subagents are separate AI workers handling delegated tasks.

In plain words
What is it for?
Use it when writing or carrying out an implementation plan. It helps decide which tasks stay with the main session and which can be delegated.
Why use it?
It keeps the main AI session focused on architecture, decisions, combining results, and review instead of spending its context on routine work.

Skill for Claude CodeCodex

Part of the sonu plugin — 26 skills, 3 commands 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/prabhdeepsingh/claude-plugins/model-tiering
Any agent
npx skills add PrabhdeepSingh/claude-plugins --skill model-tiering
Clone the repo
git clone --depth 1 https://github.com/PrabhdeepSingh/claude-plugins

Made for: Claude Code, Codex.

Or install sonu, the plugin that ships this one along with the rest of its 26 skills, 3 commands.

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 model-tiering

README.md
[![agentmods](https://agentmods.dev/badge/skills/prabhdeepsingh/claude-plugins/model-tiering.svg)](https://agentmods.dev/skills/prabhdeepsingh/claude-plugins/model-tiering)
Your own site
<a href="https://agentmods.dev/skills/prabhdeepsingh/claude-plugins/model-tiering"><img src="https://agentmods.dev/badge/skills/prabhdeepsingh/claude-plugins/model-tiering.svg" alt="Measured on agentmods" height="20"></a>
Per session 93 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,168 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 $0.00093 $0.02168
Opus 5 $0.00046 $0.01084
Sonnet 5 $0.00019 $0.00434
Haiku 4.5 $0.00009 $0.00217

Measured 5d ago against content hash 017983df23c5, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

model-tiering 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.

sonu/skills/model-tiering/SKILL.md · 108 lines

How it starts

The opening of the file, as written. The whole thing — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Model Tiering — route the work, keep the judgment

A strong model's scarcest resource mid-build is clean context. Every mechanical, fully-specified step it executes itself dilutes the attention that architecture, integration, and review need — so the plan's author grades each step for the cheapest tier that can execute it reliably, and execution honors those grades with subagents. The motivation is quality via focus, not cost. The failure modes are symmetric, and the bar in Section 3 resolves both: doubt about any criterion keeps the work up; a step that clears all four goes down — hoarding it spends the exact context this skill exists to protect.

How to apply this

Locate your tier first — before any step is tagged (Section 1). Then the skill fires at two moments:

  • While authoring a plan — grade each step in place per Sections 2–4, tagging as you write. Don't defer tiering to a "who builds what" appendix: that retrofit framing is what produces all-or-nothing calls like "the session builds everything."
  • While executing a plan whose steps carry tags — honor them per Section 5.

An orchestrating harness may carry the owner's standing disposition for a run — pre-authorize delegation, or suppress it entirely. Pre-authorization resolves borderline calls toward tagging among steps that already clear all four criteria of Section 3; it never relaxes those criteria, never overrides Section 4's categorical list, and cannot invent a tier that isn't there.

1. Know your position on the ladder

Identify the session model however the harness exposes it (in Claude Code the system prompt states it), find it on its own model family's ladder under Provenance, and orchestrate only if at least one trustworthy executor tier sits strictly below you. Otherwise note it in one line — "no executor tier below; executing inline" — and stop applying this skill: no tags, no subagents.

Never route upward, and never across families. The judgment this skill protects has to sit in the session — where the user's context and the approval gate are — not inside a stronger subagent that returns a summary; and a model whose family has no ladder under Provenance has no position, so it has no executor tiers. (Same-tier subagents exist only for [delegate-heavy] — Section 2.)

Read the full file on GitHub · 108 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 · 108 lines · 93 tokens per session scan A 017983df23c5

Subscribe to this mod's changes

model-tiering is a skill published in the GitHub repository PrabhdeepSingh/claude-plugins (3 stars, last pushed 5d ago), licensed MIT. It adds 93 tokens to every session and 2,168 once invoked, about $0.0005 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

top-design

Create award-winning, immersive web experiences at the level of Awwwards-featured agencies. Use when the user mentions "Awwwards quality", "make my site stunning", "scroll animations", "parallax storytelling", "cinematic web design", "portfolio site", or "brand experience". Also trigger when elevating a standard…

wondelai/skills · 113 tokens

design-everyday-things

Apply foundational design principles: affordances, signifiers, constraints, feedback, and conceptual models. Use when the user mentions "why is this confusing", "affordance", "error prevention", "discoverability", "human-centered design", "mental model", "mapping", "seven stages of action", "users keep making…

wondelai/skills · 132 tokens

traction-eos

Implement the Entrepreneurial Operating System (EOS) to align vision and execution across a company. Use when the user mentions "EOS", "Entrepreneurial Operating System", "V/TO", "quarterly rocks", "Level 10 meetings", "accountability chart", "IDS process", "my company feels chaotic", "we keep having the same…

wondelai/skills · 147 tokens

watch

File sentinel that monitors the working directory for changes and marker comments, then auto-triggers appropriate skills. Poll-based via git diff against the last scan commit. Writes intake items for batch processing and routes marker actions through /do. Use for automatic reactions to file changes; do NOT use for…

SethGammon/Citadel · 70 tokens

pr-watch

Local PR watcher. Monitors CI status, automatically fixes failing checks by reading failure logs and applying targeted fixes, then optionally merges when all checks pass. Local CLI analog to Claude Code's cloud auto-fix feature.

SethGammon/Citadel · 46 tokens

review

5-pass structured code review — correctness, security, performance, readability, consistency.

SethGammon/Citadel · 17 tokens