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.
npx agentmods add instructions/llorracc/solvingmicrodsops/agents-mdgit clone --depth 1 https://github.com/llorracc/SolvingMicroDSOPsWhat 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 | $0.00783 | $0.00783 |
| Opus 5 | $0.00392 | $0.00392 |
| Sonnet 5 | $0.00157 | $0.00157 |
| Haiku 4.5 | $0.00078 | $0.00078 |
Grade A, and why
SolvingMicroDSOPs 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 2d 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 — 49 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Orientation for AI-Assisted Work
This repository contains SolvingMicroDSOPs: LaTeX lecture notes plus replication code (Python, Stata) for numerical methods in consumption/saving problems under uncertainty. The main artifact is the book PDF built from root-level .tex files.
The document teaches how to solve consumption-saving problems efficiently, progressing from brute-force value function iteration through the transformation trick (inverse marginal value), the Endogenous Grid Method (EGM), and a modular stage architecture for composing complex periods. It concludes with structural estimation matching model predictions to Survey of Consumer Finances data.
Quick orientation
| Path | Purpose |
|---|---|
SolvingMicroDSOPs.tex |
Main document entry |
_sectn-*.tex |
Section subfiles |
Equations/ |
Equation fragments (included by main doc) |
Tables/, Figures/ |
Tables and figures |
Code/Python/, Code/Stata/ |
Replication code |
Code/Python/tests/ |
Test suite (pytest) |
SolvingMicroDSOPs.ipynb |
Jupyter notebook implementing the methods |
prompts/ |
Canonical prompts for AI-assisted work |
@resources/, @local/ |
LaTeX search path and macros (needed for build) |
CONTRIBUTION.md |
What this document contributes, audience, HARK comparison |
ROADMAP.md |
How to read this — suggested reading paths |
Notation.md |
Glossary of all mathematical notation and macros |
FIGURES.md |
Figure regeneration manifest (Python vs. legacy) |
.github/workflows/ci.yml |
CI pipeline (tests, notebook, lint) |
What this document contributes
See CONTRIBUTION.md for a concise statement of what the document covers, who it is for, and how it relates to HARK and standard textbooks.
Critical rules
- Matsya: When the user says to "ask Matsya" (or equivalent), show the full output that Matsya produces—do not replace it with a summary you construct.
docs/is a reference copy. Do not edit it. All edits use root-level files only.- Build:
latexmkon root.tex(uses LuaLaTeX via.latexmkrc) - Code mirrors math: Python identifiers parallel LaTeX macros (e.g.
DiscFac↔\DiscFac,vEndPrd↔\vEndPrd) verbatimwritepattern: Many equation files inEquations/are generated at compile time by\begin{verbatimwrite}blocks inside_sectn-*.texfiles. Always edit the equation in the section file, not the generated.texfragment inEquations/.
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.
- 2d ago First seen · 49 lines · 783 tokens per session scan A f272be187cb0
SolvingMicroDSOPs AGENTS.md is an instructions file published in the GitHub repository llorracc/SolvingMicroDSOPs (22 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 783 tokens to every session, about $0.0039 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
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.
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).
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.
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).
next.js AGENTS.md
Instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.