verifiers: Instructions file for Codex

AGENTS.md

verifiers AGENTS.md is an instructions file for Codex, OpenCode from PrimeIntellect-ai/verifiers. It costs 582 tokens per session, scanned A, original, MIT.

A set of instructions for developing and running Verifiers tasksets, which are small programs used to test AI agents. It covers code structure, commands, configuration, documentation, and dependencies.

In plain words
What is it for?
It helps create tasksets and test harnesses, validate TOML configuration files, run evaluations with uv, and keep code and documentation aligned with the project.
Why use it?
It prevents common setup and testing mistakes, such as using the wrong command, changing shared dependencies, or overriding interfaces incorrectly.

Instructions file for CodexOpenCode

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

This is PrimeIntellect-ai/verifiers's own configuration. It tells Codex and OpenCode how to work on verifiers 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 verifiers configures →

About the project

PrimeIntellect-ai/verifiers is a library for building environments that train and evaluate large language models. It is used with the Environments Hub, the prime-rl training framework, and Prime Intellect’s Hosted Training platform. Its catalogue add-ons provide coding-agent instructions and skills for working with the library.

PrimeIntellect-ai/verifiers · 4,769 stars · on GitHub

Reuse

Borrowing it

Nothing to install: this file belongs to PrimeIntellect-ai/verifiers. 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/PrimeIntellect-ai/verifiers/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/PrimeIntellect-ai/verifiers

Made for: Codex, OpenCode.

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Per session 582 This file is loaded in full into every session.
When invoked 582 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 $0.00582 $0.00582
Opus 5.5 $0.00233 $0.00233
Sonnet 5.5 $0.00116 $0.00116
Haiku 4.5 $0.00058 $0.00058

Measured 3d ago against content hash ff4aa2a49647, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

verifiers 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 3d 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 · 29 lines

How it starts

The opening of the file, as written. The whole thing — 29 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

Writing code

  • Code is the source of truth: before writing anything, read the v1 code for existing helpers, harnesses, and interfaces instead of reinventing them. Prefer verifiers-native task, trace, server, harness, and runtime interfaces over repeated path/import/discovery plumbing in user packages.
  • Minimal config surface: expose as few knobs as possible, but as many as needed.
  • Keep tasksets small: a basic taskset fits in a few dozen idiomatic lines — typed data/task/config classes, load(), and decorated scoring on the task. Don't override Taskset.__init__ (implement load()); don't override Harness.__init__ (use setup()).

Running code

  • Always use uv: run code and commands with uv run, never raw python. Make sure uv is installed (docs).
  • Check tasksets: check a taskset without a model with uv run vf-validate <taskset>. Run a few episodes with uv run vf-run <taskset> -n 1 -r 1. Run full model evals with prime-rl's uv run eval.
  • Validate TOML first: validate config .toml files before running them.
  • Don't add dependencies: never add dependencies or optional extras to the top-level pyproject.toml.

Docs

  • Kept intentionally minimal: docs/ and skills/ are deliberately sparse. Don't touch them unless your change breaks their assumptions.
  • Docs reflect main, not history: describe the current state of the codebase only — no removed/legacy fields, migration paths, or "this used to be X" anecdotes.

Skills

  • Use bundled skills first: the release skill in skills/ documents the stable-version release workflow, and the bump skill documents how to bump a pinned harness version.

Testing

  • Two suites: tests/unit runs one component in isolation; tests/integration runs real evals (a live model, real runtimes) per behavior across the harness x runtime grid in tests/integration/grid.py. Prefer an integration cell over a unit test; a unit test earns its place by stating one component's intended behavior, not by asserting an implementation detail. To check your own work, write a temporary script instead of committing new tests.
  • Run the contributor checks: run uv run pre-commit install once, then for touched areas uv run ruff check --fix ., uv run pytest tests/unit, and uv run pre-commit run --all-files.

Read the full file on GitHub · 29 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. 3d ago Changed · +41 tokens per session ff4aa2a49647
  2. 18d ago Changed · -6 tokens per session 461502fd3138
  3. 21d ago Changed · +16 tokens per session ea0542e4bc71
  4. 23d ago Changed · -44 tokens per session 6e91989bb094
  5. 1mo ago Changed · +4 tokens per session 214305648757
  6. 2mo ago Changed · -11 tokens per session 8d02cdfcd5a1
  7. 2mo ago First seen · 29 lines · 582 tokens per session scan A 54654d4ca04f

Subscribe to this mod's changes

verifiers AGENTS.md is an instructions file published in the GitHub repository PrimeIntellect-ai/verifiers (4,769 stars, last pushed yesterday), licensed MIT. It adds 582 tokens to every session, about $0.0023 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.

Related

verifiers AGENTS.md compared with instructions from other repositories

verifiers AGENTS.md next to 6 instructions from other repositories
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