varrd-discover

varrd-discover is a skill for Claude Code, Codex from varrdinc/varrd. It costs 44 tokens per session (727 once invoked), scanned A, original, MIT.

An automated research tool for finding possible trading patterns in a chosen market or topic. It creates one hypothesis, gathers data, charts the pattern, and runs statistical tests or a backtest.

In plain words
What is it for?
Use it to investigate topics such as momentum, mean reversion, volatility, or seasonal patterns across selected markets. It can run event studies, backtests, or both.
Why use it?
It removes the need to guide each stage of a trading-research workflow by hand. It helps test whether an idea appears to have measurable evidence before treating it as a trade setup.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

Good fit Use it to investigate topics such as momentum, mean reversion, volatility, or seasonal patterns across selected markets. It can run event studies, backtests, or both.

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Install with agentmods
npx agentmods add skills/varrdinc/varrd/varrd-discover
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 varrdinc/varrd --skill varrd-discover
Clone the repo
git clone --depth 1 https://github.com/varrdinc/varrd

Made for: Claude Code, Codex.

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 varrd-discover

README.md
[![agentmods](https://agentmods.dev/badge/skills/varrdinc/varrd/varrd-discover.svg)](https://agentmods.dev/skills/varrdinc/varrd/varrd-discover)
Your own site
<a href="https://agentmods.dev/skills/varrdinc/varrd/varrd-discover"><img src="https://agentmods.dev/badge/skills/varrdinc/varrd/varrd-discover.svg" alt="Measured on agentmods" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 727 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00044 $0.00727
Opus 5 $0.00022 $0.00364
Sonnet 5 $0.00009 $0.00145
Haiku 4.5 $0.00004 $0.00073

Measured 8d ago against content hash 74fe6e9743f7, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

varrd-discover 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 8d 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/varrd-discover/SKILL.md · 80 lines

How it starts

The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.

VARRD Discover — Autonomous Edge Discovery

Use this skill when a user wants VARRD to autonomously discover trading edges without driving the conversation step-by-step.

Command

varrd discover "<topic>"

How It Works

Give it a topic and VARRD handles everything: generates a creative hypothesis from its market structure knowledge base, loads data, charts the pattern, runs statistical tests, and returns the trade setup if an edge is found. One command, one result.

Each call tests ONE hypothesis through the full pipeline. Call again for another — VARRD uses tangential idea propagation, so related concepts branch out from your seed idea.

Examples

varrd discover "momentum on grains"
varrd discover "mean reversion on crypto" --mode explore
varrd discover "volatility clustering on ES" --markets ES NQ
varrd discover "seasonal patterns in energy" --test-type backtest

Options

Flag Values Default Description
--mode focused, explore focused focused = stay close to topic, explore = creative freedom
--markets e.g. ES NQ CL auto Focus on specific markets
--test-type event_study, backtest, both event_study Type of statistical test

When to Use discover vs research

Scenario Use
You have a specific idea to test varrd research "your idea"
You want broad exploration of a space varrd discover "topic"
You want control over each step varrd research
You want hands-free, one command varrd discover
Running many hypotheses at scale varrd discover in a loop

Reading the Output

The result includes:

  • Edge verdict: STRONG EDGE / MARGINAL / NO EDGE
  • Statistics: Win rate, Sharpe ratio, signal count
  • Trade setup (if edge found): exact entry, stop-loss, take-profit prices
  • Hypothesis ID: saved to your library for later scanning

Tips

  • Use --mode explore for more creative, tangential ideas
  • Each call takes 30-120 seconds — it's running the full pipeline
  • Run in a loop to test many hypotheses: for topic in "momentum" "mean reversion" "breakouts"; do varrd discover "$topic"; done
  • All validated hypotheses are saved — use varrd scan later to see what's firing

Read the full file on GitHub · 80 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. 8d ago First seen · 80 lines · 44 tokens per session scan A 74fe6e9743f7

Subscribe to this mod's changes

varrd-discover is a skill published in the GitHub repository varrdinc/varrd (24 stars, last pushed 7d ago), licensed MIT. It adds 44 tokens to every session and 727 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.