subscaler

subscaler is a skill for Claude Code from SoliEstre/EstreGenesis. It costs 145 tokens per session (4,788 once invoked), scanned A, original, Apache-2.0.

A model-routing tool that assigns different AI model levels and work intensity to separate parallel tasks. It can be turned on, turned off, or checked with slash commands.

In plain words
What is it for?
Use it before splitting work into parallel tasks to choose a suitable model level and effort for each task.
Why use it?
It avoids using the most expensive or capable model for every task. Fully specified tasks can often be handled by a lower model level without losing much.

Skill for Claude Code

Written for Claude Code: PreToolUse hook event. Also seen: mentions subagents; mentions Claude Code; runs codex exec.

Part of the superscalar plugin — 5 skills shipped together

Good fit Use it before splitting work into parallel tasks to choose a suitable model level and effort for each task.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/soliestre/estregenesis/subscaler
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 SoliEstre/EstreGenesis --skill subscaler
Clone the repo
git clone --depth 1 https://github.com/SoliEstre/EstreGenesis

Made for: Claude Code.

Or install superscalar, the plugin that ships this one along with the rest of its 5 skills.

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 subscaler

README.md
[![agentmods](https://agentmods.dev/badge/skills/soliestre/estregenesis/subscaler/github.svg)](https://agentmods.dev/skills/soliestre/estregenesis/subscaler)
Your own site
<a href="https://agentmods.dev/skills/soliestre/estregenesis/subscaler"><img src="https://agentmods.dev/badge/skills/soliestre/estregenesis/subscaler/github.svg" alt="Measured on agentmods" height="20"></a>

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 subscaler

Your own site · 80×15
<a href="https://agentmods.dev/skills/soliestre/estregenesis/subscaler"><img src="https://agentmods.dev/badge/skills/soliestre/estregenesis/subscaler.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 145 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,788 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.
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 $0.00145 $0.04788
Opus 5.5 $0.00058 $0.01915
Sonnet 5.5 $0.00029 $0.00958
Haiku 4.5 $0.00015 $0.00479

Measured 19d ago against content hash 929ce68b126b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

subscaler 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 19d 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.

plugins/superscalar/skills/subscaler/SKILL.md · 113 lines

How it starts

The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/subscaler — tiered model composition

/superscalar decides how eagerly to fan out. This skill decides what each lane runs on — tier and effort. The two are orthogonal; set them independently.

The mechanism that makes a tier drop safe is spec completion before offload: a fully-specified lane loses little from one tier down, an underspecified one loses a lot. Spec completeness is the quality moderator, not model size.

Toggle contract

  • State = one marker file: .agent/subscaler.json — {"on": true, "family": "<vendor>", "effort": "<level>"}. Read at invocation time; never mirror the state into other settings surfaces (duplicated per-role model bindings have shipped state-convergence bugs).
  • /subscaler on writes it · /subscaler off removes it (or sets "on": false) · /subscaler status reads it back and reports where it would apply next.
  • Default OFF. ON is recommended where fan-out has already forfeited the shared prompt cache. A delegated subagent starts cache-cold on its own model, so a small, cache-hot, deep-context edit loses money on delegation.

Step 0 — frontier-main cost gate (when the orchestrator itself is T1)

If the main conversation runs on a T1 model (a Fable-class flagship), inheritance is the failure mode: the Agent tool resolves a subagent's model as per-invocation model → frontmatter model → CLAUDE_CODE_SUBAGENT_MODEL (a default, not a pin, since v2.1.251 — before that the env var came first) → the main model, and a Workflow agent() that omits opts.model inherits the same way. Nothing in that chain says "frontier" — it just is. Two env facts sit outside the chain: CLAUDE_CODE_SUBAGENT_MODEL_FORCE=1 (v2.1.257+) overrides every binding including the ones you wrote, and under a Fable main the built-in Explore agent's model depends on the connection — with a Claude subscription, a Console account or an ANTHROPIC_BASE_URL gateway it runs on whatever the opus alias resolves to (currently Opus 5.5), on other providers it stays on the main model (registry harnessBinding) — neither is visible from the spawn request, so verify with /tasks (v2.1.242+), which names each running subagent's model and effort. And every unbound lane inherits the session's effort level; ultracode is not a level — since v2.1.284 it is a toggle that stays on at whatever level the session runs (only --effort ultracode also sets xhigh). So, before any fan-out on a T1 main:

Read the full file on GitHub · 113 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. 19d ago Changed · +13 lines 929ce68b126b
  2. 21d ago Changed f25357cd98db
  3. 29d ago Changed · +2 lines 3951954ba606
  4. 1mo ago Changed · +11 lines 34db975f70a1
  5. 1mo ago First seen · 87 lines · 145 tokens per session scan A 2c6974553528

Subscribe to this mod's changes

subscaler is a skill published in the GitHub repository SoliEstre/EstreGenesis (8 stars, last pushed yesterday), licensed Apache-2.0. It adds 145 tokens to every session and 4,788 once invoked, about $0.0006 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 2026-08-31.

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