screen

A command that ranks a library of quantitative factors, which are formulas used to find signals in financial data.

In plain words
What is it for?
It is for returning the top factors with their formulas and out-of-sample information-coefficient statistics for research.
Why use it?
It turns factor-evaluation results into a short list, making it easier to see which signals performed best on data not used to build them.

Command

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 commands/minihellboy/factorminer/screen
Clone the repo
git clone --depth 1 https://github.com/minihellboy/factorminer
Per session 9 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 96 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 $0.00009 $0.00096
Opus 5 $0.00005 $0.00048
Sonnet 5 $0.00002 $0.00019
Haiku 4.5 $0.00001 $0.00010

Measured yesterday against content hash c981789eb27a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

screen 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 yesterday.

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.

integrations/factor-researcher/plugin/commands/screen.md · 10 lines

What it actually says

Load the factor-evaluation skill and produce a ranked signal shortlist — the top-K factors by out-of-sample IC, each with its formula and stats. This is the handoff artifact for a research-idea workflow that needs to know which quantitative signals are currently working.

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. yesterday First seen · 10 lines · 9 tokens per session scan A c981789eb27a

Subscribe to this mod's changes

screen is a command published in the GitHub repository minihellboy/factorminer (105 stars, last pushed 15d ago), licensed MIT. It adds 9 tokens to every session and 96 once invoked, about $0.0000 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.