Borrowing it
Nothing to install: this file belongs to ProteusLLP/proteusllp-actuarial-library. 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/ProteusLLP/proteusllp-actuarial-library/main/AGENTS.mdgit clone --depth 1 https://github.com/ProteusLLP/proteusllp-actuarial-libraryWrote 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/proteusllp/proteusllp-actuarial-library/agents-md)<a href="https://agentmods.dev/instructions/proteusllp/proteusllp-actuarial-library/agents-md"><img src="https://agentmods.dev/badge/instructions/proteusllp/proteusllp-actuarial-library/agents-md.svg" alt="Measured on agentmods" 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 | $0.01030 | $0.01030 |
| Opus 5 | $0.00515 | $0.00515 |
| Sonnet 5 | $0.00206 | $0.00206 |
| Haiku 4.5 | $0.00103 | $0.00103 |
Grade A, and why
proteusllp-actuarial-library 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.
How it starts
The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PAL Agent Guide
This is the canonical repository-level guidance for coding agents working on the Proteus Actuarial Library (PAL). Tool-specific instruction files should point here rather than duplicate these rules.
What PAL Is
PAL is a Python library for simulation-based actuarial and financial modelling. It provides stochastic variables, probability distributions, copulas, frequency-severity models, reinsurance contracts, risk measures and optional CuPy GPU acceleration.
The installed package is pal; the PyPI distribution is proteusllp-actuarial-library. PAL intentionally exposes the four core modelling abstractions ProteusVariable, StochasticScalar, FreqSevSims, and FrequencySeverityModel at the package root; domain-specific modelling classes remain organised under their public submodules.
Sources of Truth
When instructions disagree, use these sources in this order:
pyproject.tomlfor supported Python versions, dependencies, Ruff configuration and package metadata.Makefileand CI workflows for the commands that must pass.- This file and any more-specific nested
AGENTS.mdfor architectural and behavioural rules. STYLE_GUIDE.md,docs/structure.mdanddocs/development.mdfor additional explanation.
Do not copy configuration values into new guidance when they can be referenced from the authoritative configuration instead.
Repository Map
src/pal/: library implementation. Readsrc/pal/AGENTS.mdbefore changing library code.tests/: automated tests. Readtests/AGENTS.mdbefore adding or changing tests.docs/: Sphinx documentation and tutorials. Readdocs/AGENTS.mdbefore changing documentation.examples/: executable end-to-end examples..github/workflows/: CPU, GPU and other CI workflows.pyproject.toml: package, dependency and static-analysis configuration.Makefile: canonical local development commands.docs/structure.md: type-system architecture and dependency direction.
Development Environment
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.
- 3d ago Changed · +2 lines · +126 tokens per session cd409282dabd
- 7d ago First seen · 95 lines · 904 tokens per session scan A bee8912706dc
proteusllp-actuarial-library AGENTS.md is an instructions file published in the GitHub repository ProteusLLP/proteusllp-actuarial-library (11 stars, last pushed 3d ago), licensed MIT. It adds 1,030 tokens to every session, about $0.0052 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.
Other instructions, from other repositories
codex AGENTS.md
AGENTS.md instructions for openai/codex, covering rust/codex-rs, the codex-core crate, code review rules, crate api surface and model visible context.
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.
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.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, applying the notice (cutover) and fallback chain (never fail the build).
spec-kit AGENTS.md
AGENTS.md instructions for github/spec-kit, covering agents.md, about spec kit and specify, quickstart — add a new integration in 5 steps, integration architecture and integrationmanifest — file tracking.