lola AGENTS.md

lola AGENTS.md is an instructions file for Codex, OpenCode from LobsterTrap/lola. It costs 1,209 tokens per session, scanned A, original, Apache-2.0.

A set of working instructions for Lola, a tool that stores and installs AI instructions and skills across coding assistants. It also describes the repository's coding, testing, dependency, and commit rules.

In plain words
What is it for?
Use it when changing the Lola project, running its Python or Go checks, adding command-line commands, or following its repository workflow.
Why use it?
It gives an agent the project context needed to make changes consistently and check them with the expected tools. It also records rules for avoiding secrets and keeping new command-line features tested.

Instructions file for CodexOpenCode

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 instructions/lobstertrap/lola/agents-md
Clone the repo
git clone --depth 1 https://github.com/LobsterTrap/lola

Made for: Codex, OpenCode.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for lola AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/lobstertrap/lola/agents-md.svg)](https://agentmods.dev/instructions/lobstertrap/lola/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/lobstertrap/lola/agents-md"><img src="https://agentmods.dev/badge/instructions/lobstertrap/lola/agents-md.svg" alt="Measured on agentmods" height="20"></a>
Per session 1,209 This file is loaded in full into every session.
When invoked 1,209 The same file — it is already loaded in full.
Security scan A 0 findings. Scan, not verified.
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 $0.01209 $0.01209
Opus 5 $0.00605 $0.00605
Sonnet 5 $0.00242 $0.00242
Haiku 4.5 $0.00121 $0.00121

Measured 5d ago against content hash 468e9e59d2e9, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

lola 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 5d 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 · 137 lines

How it starts

The opening of the file, as written. The whole thing — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Lola — Agent Instructions

Lola is an AI skills package manager. Write AI context and skills once, install them everywhere — Claude Code, Cursor, Gemini CLI, OpenCode, and more.

Working in this repo

  • Before making changes: read the topic guide below and follow the referenced file for your task
  • Commit format: Conventional Commits (feat, fix, docs, chore, test, refactor)
  • Line limit: 80 characters — code, markdown, and comments
  • Python: ruff check src tests and uv run ty check must pass
  • Go: golangci-lint run and go vet ./... must pass
  • Tests: pytest (Python), go test -race ./... (Go)
  • Coverage: >80% on changed source files
  • New CLI commands require e2e BDD tests in e2e/features/
  • Use uv for Python deps, standard Go toolchain for Go code
  • Never commit secrets, API keys, or internal hostnames

Development Commands

# Python
source .venv/bin/activate
uv sync --group dev
pytest                        # All tests
pytest tests/test_cli_mod.py  # Single file
pytest -k test_add            # Pattern match
pytest --cov=src/lola         # Coverage
ruff check src tests          # Linting
uv run ty check               # Type checking (primary)
uv run mypy src               # Type checking (secondary)

# Go
go test -race ./...           # All Go tests
golangci-lint run             # Go linting
go vet ./...                  # Go vet

# E2E
make e2e                      # BDD tests (behave)
make e2e-wip                  # @wip tagged only

# CLI
lola --help
lola mod ls
lola install <module> -a claude-code

Topic Guide

Task Read this
Project principles and standards .specify/memory/constitution.md
SDD process docs/adr/spec-driven-development.md
Contribution workflow CONTRIBUTING.md
Architectural decisions docs/adr/
Roles and decision-making GOVERNANCE.md
Architecture overview docs/dev-guide/architecture.md
E2E tests docs/dev-guide/design/e2e-bdd.md
CLI reference docs/cli-reference/
Proposing a change openspec/changes/ or specs/
PR template .github/PULL_REQUEST_TEMPLATE.md

Read the full file on GitHub · 137 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. 5d ago First seen · 137 lines · 1,209 tokens per session scan A 468e9e59d2e9

Subscribe to this mod's changes

lola AGENTS.md is an instructions file published in the GitHub repository LobsterTrap/lola (124 stars, last pushed 3d ago), licensed Apache-2.0. It adds 1,209 tokens to every session, about $0.0060 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 2026-08-30.