Borrowing it
Nothing to install: this file belongs to LobsterTrap/lola. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/LobsterTrap/lola/main/AGENTS.mdgit clone --depth 1 https://github.com/LobsterTrap/lolaWrote 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.
[](https://agentmods.dev/instructions/lobstertrap/lola/agents-md)<a href="https://agentmods.dev/instructions/lobstertrap/lola/agents-md"><img src="https://agentmods.dev/badge/instructions/lobstertrap/lola/agents-md/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/instructions/lobstertrap/lola/agents-md"><img src="https://agentmods.dev/badge/instructions/lobstertrap/lola/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.01209 | $0.01209 |
| Opus 5.5 | $0.00484 | $0.00484 |
| Sonnet 5.5 | $0.00242 | $0.00242 |
| Haiku 4.5 | $0.00121 | $0.00121 |
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 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.
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 testsanduv run ty checkmust pass - Go:
golangci-lint runandgo 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
uvfor 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 |
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.
- 1mo ago Changed · +1 lines · +71 tokens per session 1dd8dd5c1566
- 1mo ago First seen · 137 lines · 1,209 tokens per session scan A 468e9e59d2e9
lola AGENTS.md is an instructions file published in the GitHub repository LobsterTrap/lola (132 stars, last pushed 10d ago), licensed Apache-2.0. It adds 1,209 tokens to every session, about $0.0048 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.
Other instructions, from other repositories
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
deepseek-harness AGENTS.md
AGENTS.md instructions for deepseek-ai/deepseek-harness, covering agents.md, pre-stable apis and released session data, repository layout, commands and host sandbox failures.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).