Borrowing it
Nothing to install: this file belongs to indexedlabs/pydantic-ai-gepa. 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/indexedlabs/pydantic-ai-gepa/main/AGENTS.mdgit clone --depth 1 https://github.com/indexedlabs/pydantic-ai-gepaWrote 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/indexedlabs/pydantic-ai-gepa/agents-md)<a href="https://agentmods.dev/instructions/indexedlabs/pydantic-ai-gepa/agents-md"><img src="https://agentmods.dev/badge/instructions/indexedlabs/pydantic-ai-gepa/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/indexedlabs/pydantic-ai-gepa/agents-md"><img src="https://agentmods.dev/badge/instructions/indexedlabs/pydantic-ai-gepa/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 | $0.00928 | $0.00928 |
| Opus 5.5 | $0.00371 | $0.00371 |
| Sonnet 5.5 | $0.00186 | $0.00186 |
| Haiku 4.5 | $0.00093 | $0.00093 |
Grade A, and why
pydantic-ai-gepa 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 12d 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 — 38 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Repository Guidelines
Specs and tasks
- Specs and decisions for this library live in the Mighty Next graph, not in this repository. Before changing behavior, find the pages that own the code you are about to touch with
mighty invoke mighty.graph/governing --json '{"paths":["<repo-relative path>"]}', or browse the subtree starting atspecs/pydantic-ai-gepa/overview.md. Tasks live in Linear (Indexed Labs); the orchestrator that dispatched you owns both. - The v1 records under
.mighty/(such as.mighty/loro/and.mighty/config.json) are a read-only historical record; do not write to them (mtis no longer installed for this repo)..mighty/checks/is active configuration for the hosted review checks and is edited like any other file.
Project Structure & Module Organization
- Core library lives in
src/pydantic_ai_gepa/, organized by responsibility (runner.pyexposes the high-level optimization API,components.pyhandles candidate transforms,cache.pymanages GEPA caching, etc.). - Example agents and walkthrough scripts sit in
examples/, and experimental runs land inoptimization_results/for posterity. - Tests reside in
tests/with fixtures intests/conftest.py; favor mirroring module names (test_signature_agent.py,test_cache.py). - Packaging metadata is defined in
pyproject.toml; the repo uses theuvworkflow (uv.lock) instead of ad‑hoc virtualenvs.
Build, Test, and Development Commands
uv sync --all-extrasinstalls the project plus dev dependencies listed under[dependency-groups.dev].uv run pytestexecutes the full test suite; add-k patternto focus on a module (uv run pytest -k signature).uv run python examples/classification.pyruns the end-to-end GEPA prompt optimization example; preferuv runso dependencies resolve consistently.
Coding Style & Naming Conventions
- Follow PEP 8 with 4-space indents and snake_case for functions, module-level symbols, and filenames; keep classes in PascalCase.
- Preserve the existing type-hinted style—public APIs pass strongly-typed sequences (e.g.,
Sequence[Case[InputT, OutputT, MetadataT]]) and explicitModel | KnownModelNameunions. - Module docstrings summarize purpose; add short comments only where control flow is non-obvious (see
runner.pycontextmanagers for tone).
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.
- 12d ago Changed · +33 tokens per session 619610263011
- 14d ago Changed · +6 lines · +233 tokens per session acd9d463239c
- 1mo ago Changed · -1 lines · +26 tokens per session 069f7bf14240
- 1mo ago First seen · 33 lines · 636 tokens per session scan A fb9582ac1354
pydantic-ai-gepa AGENTS.md is an instructions file published in the GitHub repository indexedlabs/pydantic-ai-gepa (36 stars, last pushed 13d ago), licensed MIT. It adds 928 tokens to every session, about $0.0037 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 2026-09-01.
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.
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).
vscode model-prompts.instructions.md
Model-specific prompt authoring and registry guidelines.