EnzymeExplorer: Instructions file for Codex

AGENTS.md

EnzymeExplorer AGENTS.md is an instructions file for Codex, OpenCode from pluskal-lab/EnzymeExplorer. It costs 1,746 tokens per session, scanned A, original, MIT.

Project instructions for EnzymeExplorer, a Python codebase for finding and classifying terpene-synthase enzymes. They describe the repository layout, supported prediction and training workflows, and coding standards.

In plain words
What is it for?
Use them when modifying EnzymeExplorer's Python package, prediction scripts, data workflows, model training tools, notebooks, or build-related files.
Why use it?
They give coding agents the project context and tell them which files and rules apply before making changes. This helps preserve reproducible scientific workflows and consistency with automated checks.

Instructions file for CodexOpenCode

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

This is pluskal-lab/EnzymeExplorer's own configuration. It tells Codex and OpenCode how to work on EnzymeExplorer 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 EnzymeExplorer configures →

Reuse

Borrowing it

Nothing to install: this file belongs to pluskal-lab/EnzymeExplorer. 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/pluskal-lab/EnzymeExplorer/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/pluskal-lab/EnzymeExplorer

Made for: Codex, OpenCode.

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Per session 1,746 This file is loaded in full into every session.
When invoked 1,746 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 $0.01746 $0.01746
Opus 5.5 $0.00698 $0.00698
Sonnet 5.5 $0.00349 $0.00349
Haiku 4.5 $0.00175 $0.00175

Measured 23d ago against content hash dc23ae364aa6, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

EnzymeExplorer 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 23d 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 · 185 lines

How it starts

The opening of the file, as written. The whole thing — 185 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — EnzymeExplorer

This file provides project-specific instructions for AI coding agents (e.g., Cursor agents). Follow these rules when reading, modifying, or adding code in this repository.

What this repo is

EnzymeExplorer is a Python codebase for terpene synthase (TPS) discovery and downstream classification. It supports:

  • running predictions (full model requiring structures, and a sequence-only variant),
  • data preparation and workflow steps used in the paper,
  • model training/evaluation utilities and structural-domain analysis.

Repository layout (high-level)

  • enzymeexplorer/ — main Python package (core logic lives here).
  • scripts/ — command-line / convenience scripts (e.g., predict_*.py, bundle_fold_checkpoints.py).
  • data/ — small, versioned artifacts for reproducibility (some .pkl, curated CSVs, etc.).
  • outputs/ — logs, intermediate artifacts, trained models/results (often large).
  • notebooks/ — notebooks / colab-related material.
  • build/ — generated build artifacts (do not edit manually).
  • app_faster_with_foldseek.py — app/entry script related to Foldseek-accelerated workflow.

Coding standards (must match CI)

Before proposing changes, run the same checks CI runs:

Formatting

  • black --check .

Lint

  • flake8 . --max-line-length 88 --extend-ignore E203 --select B950

Pylint

  • pylint ./enzymeexplorer --disable C0301,E0401,E1136,R0914,R1728,R0912,R0917,R0915,R0913,R0902,W0640

Typing

  • mypy --implicit-optional --explicit-package-bases .

Additional agent check

  • ruff check .

Do not reformat large unrelated parts of the repo. Keep diffs minimal and targeted.

Python coding rules for agents

  1. Prefer minimal changes

    • Make the smallest correct change that fixes the bug or adds the feature.
    • Do not mix unrelated refactors into the same patch.
    • Do not rename/move modules unless necessary for the requested change.
  2. Keep structure readable

    • Prefer small helpers over deeply nested logic.
    • Reuse existing patterns in the repo before inventing new abstractions.
    • Keep control flow simple and explicit.
    • Choose clear names over clever code.

Read the full file on GitHub · 185 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. 23d ago First seen · 185 lines · 1,746 tokens per session scan A dc23ae364aa6

Subscribe to this mod's changes

EnzymeExplorer AGENTS.md is an instructions file published in the GitHub repository pluskal-lab/EnzymeExplorer (18 stars, last pushed 1mo ago), licensed MIT. It adds 1,746 tokens to every session, about $0.0070 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 2026-10-02.

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