quant-oos-analyst

An agent that evaluates how a strategy performs on data from after the period covered by a research report’s backtest. An out-of-sample test checks whether an observed effect continues on data not used in the original test.

In plain words
What is it for?
Use it to extend a strategy’s backtest beyond the report’s dates and assess whether its effect continues, weakens, or stops working.
Why use it?
It tests whether reported results continue over time without changing the strategy or its settings.

Agent

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 agents/hedicx2020/ghquant_plugin/quant-oos-analyst
Clone the repo
git clone --depth 1 https://github.com/Hedicx2020/ghquant_plugin
Per session 62 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,382 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00062 $0.01382
Opus 5 $0.00031 $0.00691
Sonnet 5 $0.00012 $0.00276
Haiku 4.5 $0.00006 $0.00138

Measured 2d ago against content hash 7f121588c3bf, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

quant-oos-analyst 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 2d 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.

agents/quant-oos-analyst.md · 55 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. 2d ago First seen · 55 lines · 62 tokens per session scan A 7f121588c3bf

Subscribe to this mod's changes

quant-oos-analyst is an agent published in the GitHub repository Hedicx2020/ghquant_plugin (4 stars, last pushed 16d ago), with no licence file. It adds 62 tokens to every session and 1,382 once invoked, about $0.0003 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 2026-08-31.