Borrowing it
Nothing to install: this file belongs to GabrielDrapor/ovid. 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/GabrielDrapor/ovid/main/AGENTS.mdgit clone --depth 1 https://github.com/GabrielDrapor/ovidWrote 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/gabrieldrapor/ovid/agents-md)<a href="https://agentmods.dev/instructions/gabrieldrapor/ovid/agents-md"><img src="https://agentmods.dev/badge/instructions/gabrieldrapor/ovid/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/gabrieldrapor/ovid/agents-md"><img src="https://agentmods.dev/badge/instructions/gabrieldrapor/ovid/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 | $0.01759 | $0.01759 |
| Opus 5 | $0.00879 | $0.00879 |
| Sonnet 5 | $0.00352 | $0.00352 |
| Haiku 4.5 | $0.00176 | $0.00176 |
Grade A, and why
ovid 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 9d 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 — 142 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — Ovid Deep Technical Reference
For quick reference, see CLAUDE.md. This document covers architecture details, EPUB parsing lessons, and implementation notes that are useful for deeper work.
Architecture Overview
See docs/ARCHITECTURE.md for the full system diagram.
Stack: React + Cloudflare Worker + D1 (SQLite) + R2 (assets) + Railway (translation service)
How Upload → Translation Works
- User uploads EPUB via
/api/books/upload; Worker stages the file in R2 and inserts a placeholder book row waitUntilfires POST to Railway (TRANSLATOR_SERVICE_URL/upload-and-parse) — Railway owns everything from here (parsing, DB writes, credits, translation, covers)- Railway parses the EPUB (TOC, chapters, paragraphs, embedded cover) → stores in D1
- Railway translates 5 chapters concurrently, writing each paragraph back to D1 immediately (checkpoint resume)
- Frontend polls
/api/book/:uuid/statusfor progress
Cover/Spine Generation
- Railway's
cover-composer.tscomposites each book onto a pre-made blank cloth-hardcover template with Sharp (no AI at request time): original-cover inset with book-face detection, title/author typesetting, spine width scaled to book length - Blank templates are generated offline by
scripts/generate-blanks.ts image-processor.tsis the legacy SVG→PNG path, still used by the cover-preview debug page (/cover-preview/:uuidon Railway, password-gated)- Images stored in R2 at
assets.ovid.jrd.pub - R2 CORS matters: the 3D shelf loads covers/spines as WebGL textures, so
the bucket has a CORS rule (
GET/HEADfrom*). Every<img>/preload of these assets must setcrossOrigin="anonymous"— a non-CORS response cached by the browser will poison latercrossOrigintexture fetches and covers silently fall back to procedural canvases.
EPUB Parsing — Hard-Won Lessons
Use TOC, Not Spine
The spine lists reading order but items often lack titles and include non-content files (cover pages, copyright). Always use the TOC for chapter detection:
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.
- 9d ago First seen · 142 lines · 1,759 tokens per session scan A ba8a37672315
ovid AGENTS.md is an instructions file published in the GitHub repository GabrielDrapor/ovid (66 stars, last pushed 20d ago), licensed MIT. It adds 1,759 tokens to every session, about $0.0088 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
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.
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).
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).
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.