scorio: Instructions file for Codex

AGENTS.md

scorio AGENTS.md is an instructions file for Codex, OpenCode from mohsenhariri/scorio. It costs 2,018 tokens per session, scanned A, original, MIT.

A repository instruction document for coding agents working on Scorio, a research toolkit for evaluating and ranking language models. It records the repository's Python, Julia, and TypeScript implementations and their development commands.

In plain words
What is it for?
Use it when modifying Scorio, especially its evaluation, ranking, or aggregation APIs. It also guides work across the repository's Python, Julia, and JavaScript/TypeScript packages.
Why use it?
It gives an agent the project context and working rules it needs before changing code. This helps keep parallel implementations and their public interfaces aligned.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions AGENTS.md.

This is mohsenhariri/scorio's own configuration. It tells Codex and OpenCode how to work on scorio itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything scorio configures →

Reuse

Borrowing it

Nothing to install: this file belongs to mohsenhariri/scorio. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/mohsenhariri/scorio/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/mohsenhariri/scorio

Made for: Codex, OpenCode.

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Per session 2,018 This file is loaded in full into every session.
When invoked 2,018 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.02018 $0.02018
Opus 5.5 $0.00807 $0.00807
Sonnet 5.5 $0.00404 $0.00404
Haiku 4.5 $0.00202 $0.00202

Measured 2mo ago against content hash 78c613865cfb, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

scorio AGENTS.md 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 2mo 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.

Origin

Copies of this mod

1 near-identical copy found in the catalogue:

AGENTS.md · 132 lines

How it starts

The opening of the file, as written. The whole thing — 132 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

This file provides guidance to coding agents working with code in this repository.

Overview

Scorio is a research toolkit for Bayesian evaluation and ranking of LLMs (especially reasoning models under test-time scaling / repeated sampling). It backs three papers (ICLR 2026, ACL 2026, an arXiv preprint on test-time scaling) and ships companion HuggingFace datasets of reasoning traces (notebooks/datasets/{trace,lite,math,gpqa}).

The repo contains three parallel implementations of the same API, kept in version lockstep via the root VERSION file and scripts/sync_version.py:

  • scorio/ — Python, the reference implementation (published to PyPI)
  • julia/Scorio.jl/ — Julia, mirrors the Python eval/rank/aggregate/sinf/utils API (registered in the Julia General Registry)
  • js/scorio/ — TypeScript, zero-dependency port (npm), currently centered on the eval APIs

When changing the public API or fixing a bug in one implementation, check whether the equivalent should also change in the others.

Common commands

All commands below run from the repo root unless noted; see the root Makefile for the authoritative list.

Python (scorio/)

pip install -e ".[dev]"          # install with dev deps (pytest, ruff, mypy, sphinx...)

make test                        # pytest tests/
pytest tests/eval                # a single test dir
pytest tests/rank -m "not slow"  # rank tests excluding slow ones (make test-rank-py)
pytest tests/rank -m slow        # slow rank tests only (make test-rank-py-slow)
pytest tests/eval/test_bayes.py::test_name -v   # a single test

make format-check                # ruff format --check + ruff check
make format                      # ruff format + ruff check --fix
make lint                        # ruff check + mypy

make py-docs-build               # Sphinx docs -> docs/_build/html
make py-docs-serve                # serve built docs on :4000

Pytest marker slow is registered in pyproject.toml for heavy ranking APIs — use it on any new test that's expensive (MCMC, MILP solvers, etc.).

Read the full file on GitHub · 132 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. 2mo ago First seen · 132 lines · 2,018 tokens per session scan A 78c613865cfb

Subscribe to this mod's changes

scorio AGENTS.md is an instructions file published in the GitHub repository mohsenhariri/scorio (24 stars, last pushed 18d ago), licensed MIT. It adds 2,018 tokens to every session, about $0.0081 per session on Opus 5.5. 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 2026-09-05.

Related

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