design-mean-reversion-strategy

design-mean-reversion-strategy is a skill for Claude Code from itsadrianxv/quant-strategy-builder-skill. It costs 33 tokens per session (89 once invoked), scanned A, original, no licence file.

A guide for designing mean-reversion, range-trading, and grid trading strategies. Mean reversion means expecting a price to move back toward its usual level.

In plain words
What is it for?
Use it when designing or assessing these types of trading strategies.
Why use it?
It helps distinguish a temporary price deviation from a lasting change that makes the strategy stop working.

Skill for Claude Code

Written for Claude Code: disable-model-invocation in frontmatter.

Part of the quant-strategy-builder plugin — 10 skills shipped together , and of quant-strategy-builder

Good fit Use it when designing or assessing these types of trading strategies.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/itsadrianxv/quant-strategy-builder-skill/design-mean-reversion-strategy
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 itsadrianxv/quant-strategy-builder-skill --skill design-mean-reversion-strategy
Clone the repo
git clone --depth 1 https://github.com/itsadrianxv/quant-strategy-builder-skill

Made for: Claude Code.

Or install quant-strategy-builder, the plugin that ships this one along with the rest of its 10 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 design-mean-reversion-strategy

README.md
[![agentmods](https://agentmods.dev/badge/skills/itsadrianxv/quant-strategy-builder-skill/design-mean-reversion-strategy/github.svg)](https://agentmods.dev/skills/itsadrianxv/quant-strategy-builder-skill/design-mean-reversion-strategy)
Your own site
<a href="https://agentmods.dev/skills/itsadrianxv/quant-strategy-builder-skill/design-mean-reversion-strategy"><img src="https://agentmods.dev/badge/skills/itsadrianxv/quant-strategy-builder-skill/design-mean-reversion-strategy/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 design-mean-reversion-strategy

Your own site · 80×15
<a href="https://agentmods.dev/skills/itsadrianxv/quant-strategy-builder-skill/design-mean-reversion-strategy"><img src="https://agentmods.dev/badge/skills/itsadrianxv/quant-strategy-builder-skill/design-mean-reversion-strategy.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 33 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 89 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 unknown 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 $0.00033 $0.00089
Opus 5 $0.00016 $0.00044
Sonnet 5 $0.00007 $0.00018
Haiku 4.5 $0.00003 $0.00009

Measured 9d ago against content hash 09bd72232f42, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

design-mean-reversion-strategy 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 9d 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.

claude-skills/design-mean-reversion-strategy/SKILL.md · 8 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

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. 9d ago First seen · 8 lines · 33 tokens per session scan A 09bd72232f42

Subscribe to this mod's changes

design-mean-reversion-strategy is a skill published in the GitHub repository itsadrianxv/quant-strategy-builder-skill (20 stars, last pushed 1mo ago), with no licence file. It adds 33 tokens to every session and 89 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 2026-08-30.

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