nagi-bench: Instructions file for Codex

AGENTS.md

nagi-bench AGENTS.md is an instructions file for Codex, OpenCode from nagi-studio/nagi-bench. It costs 2,377 tokens per session, scanned A, original, MIT.

Repository instructions for nagi-bench, a software project where contributions must follow specific file and model-configuration rules. They describe the project, its AGENTS.md files, and the JSON format and naming rules for model files.

In plain words
What is it for?
Use them when contributing to nagi-studio/nagi-bench, especially when adding or editing model JSON files or checking which files a contribution may change.
Why use it?
They reduce guesswork when changing the project and help keep contributions in the required two-file format.

Instructions file for CodexOpenCode

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

This is nagi-studio/nagi-bench's own configuration. It tells Codex and OpenCode how to work on nagi-bench 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 nagi-bench configures →

Reuse

Borrowing it

Nothing to install: this file belongs to nagi-studio/nagi-bench. 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/nagi-studio/nagi-bench/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/nagi-studio/nagi-bench

Made for: Codex, OpenCode.

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Per session 2,377 This file is loaded in full into every session.
When invoked 2,377 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 $0.02377 $0.02377
Opus 5.5 $0.00951 $0.00951
Sonnet 5.5 $0.00475 $0.00475
Haiku 4.5 $0.00238 $0.00238

Measured 1mo ago against content hash bff90dda41d8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

nagi-bench 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 1mo 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.md · 205 lines

How it starts

The opening of the file, as written. The whole thing — 205 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Guidance for humans and coding agents contributing to NAGI BENCH data (https://bench.nagi.fun/). Read this before opening a PR.

What this repo is

The public data repo: community-contributed one-shot LLM eval artifacts. You add a model's raw output for a case; the site renders it verbatim. This repo holds data only — no site code, no build of the page you see.

A contribution is exactly two files

  1. The artifact — the raw model output, dropped at outputs/<artifactDir>/<case-id>.<ext> (e.g. a single-file .html or .svg).
  2. The registration — models/<model-id>.json declaring it.

Do not touch anything else. In particular:

  • Do not edit README.md / README.en.md. The Registry tables are generated from models/*.json and synced automatically after merge. Hand edits are overwritten.
  • Do not edit cases.json. Cases are maintainer-owned.

models/<model-id>.json schema

{
  "label": "DeepSeek V4 Flash",   // human-facing model name (required)
  "vendor": "DeepSeek",            // who makes the model (required)
  "harness": "Reasonix",           // the tool/agent/UI you ran it in (required)
  "effort": "Max",                 // thinking budget / effort level (required)
  "artifactDir": "deepseek-v4-flash/reasonix-max", // optional; defaults to <model-id>
  "order": 50,                      // optional; newer versions sort first automatically (scripts/model-order.ts) — order only breaks ties within the same version
  "runs": {
    "skeleton-watch": {
      "note": {                     // REQUIRED, bilingual, zh first, no emojis
        "zh": "在 Reasonix 中以 DeepSeek V4 Flash(Max)一次生成,未修改。",
        "en": "One-shot by DeepSeek V4 Flash (Max effort) in Reasonix, unmodified."
      },
      "contributor": "your-github-username"
    }
  }
}

Naming rules

  • The filename IS the entry id — lowercase letters, digits and dashes only (deepseek-v4-flash-reasonix). It is the stable voting key and the default outputs/ folder, so name it after the model, not the harness. Bad: reasonix-reasonix-max. Good: deepseek-v4-flash-reasonix.
  • artifactDir may be one or two dash-case segments (deepseek-v4-flash/reasonix-max); set it when several entries share a model folder. Leave it out to default to the id.

Read the full file on GitHub · 205 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. 1mo ago Changed · +19 tokens per session bff90dda41d8
  2. 2mo ago First seen · 205 lines · 2,358 tokens per session scan A 0880d74118ae

Subscribe to this mod's changes

nagi-bench AGENTS.md is an instructions file published in the GitHub repository nagi-studio/nagi-bench (78 stars, last pushed yesterday), licensed MIT. It adds 2,377 tokens to every session, about $0.0095 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 2026-08-30.

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