varrd-discover — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited varrd-discover (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Use this skill when a user wants VARRD to autonomously discover trading edges without driving the conversation step-by-step.
varrd discover "<topic>"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.
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| 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 |
| 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 |
The result includes:
--mode explore for more creative, tangential ideasfor topic in "momentum" "mean reversion" "breakouts"; do varrd discover "$topic"; donevarrd scan later to see what's firing~20-30 cents per discovery call.
from varrd import VARRD
v = VARRD()
result = v.discover("mean reversion on crypto", search_mode="explore")
print(result.has_edge, result.edge_verdict)~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.