daily_arxiv_digest: Instructions file for Claude Code

AGENTS.md

daily_arxiv_digest AGENTS.md is an instructions file for Claude Code, Codex, OpenCode from yang3kc/daily_arxiv_digest. It costs 1,787 tokens per session, scanned A, original, MIT.

Repository instructions for Daily arXiv Digest, a command-line tool that reads arXiv, a website for sharing scientific papers, rates papers against chosen topics with a language model, and creates daily Markdown and JSON digests.

In plain words
What is it for?
Use them when developing, running or testing the digest, including fetching papers, rebuilding results at a new relevance threshold and checking the basic language-model integration.
Why use it?
They tell a coding agent how the project is structured, how to run it and how to test it, reducing guesswork when changing the code.

Instructions file for Claude CodeCodexOpenCode

Written for Claude Code and Codex and OpenCode: Claude Code plugin machinery, but also the file is AGENTS.md. Also seen: mentions CLAUDE.md; mentions Claude Code; mentions AGENTS.md.

This is yang3kc/daily_arxiv_digest's own configuration. It tells Claude Code, Codex and OpenCode how to work on daily_arxiv_digest itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything daily_arxiv_digest configures →

Reuse

Borrowing it

Nothing to install: this file belongs to yang3kc/daily_arxiv_digest. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/yang3kc/daily_arxiv_digest/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/yang3kc/daily_arxiv_digest

Made for: Claude Code, Codex, OpenCode.

Wrote 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.

agentmods badge for daily_arxiv_digest AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/yang3kc/daily_arxiv_digest/agents-md/github.svg)](https://agentmods.dev/instructions/yang3kc/daily_arxiv_digest/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/yang3kc/daily_arxiv_digest/agents-md"><img src="https://agentmods.dev/badge/instructions/yang3kc/daily_arxiv_digest/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.

agentmods 80×15 button for daily_arxiv_digest AGENTS.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/yang3kc/daily_arxiv_digest/agents-md"><img src="https://agentmods.dev/badge/instructions/yang3kc/daily_arxiv_digest/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 1,787 This file is loaded in full into every session.
When invoked 1,787 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.01787 $0.01787
Opus 5 $0.00894 $0.00894
Sonnet 5 $0.00357 $0.00357
Haiku 4.5 $0.00179 $0.00179

Measured 9d ago against content hash cbd3a0425f78, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

daily_arxiv_digest 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.

AGENTS.md · 93 lines

How it starts

The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md

This file provides guidance to AI coding agents when working with code in this repository. (CLAUDE.md includes it via @AGENTS.md.)

Project Overview

Daily arXiv Digest is a headless CLI tool that fetches papers from arXiv RSS feeds, uses an LLM to rate their relevance against user-defined topics, and writes a daily digest to digests/YYYY-MM-DD/ as both markdown (for humans) and JSON (for agents). It is designed to run unattended in a cron job or be invoked by another agent.

Commands

Development and Running

  • make run or make all - Generate today's digest
  • uv run python main.py - Direct command (flags: --config, --date, --force)
  • uv run python main.py --rethreshold X - Rebuild digest-.md/digest-.json from saved scores-.json at threshold X (no fetch/re-score; TL;DRs cached in tldrs-.json)
  • uv sync - Install/update dependencies

Testing

  • uv run python test_llm.py - Basic integration check: fetches one feed, scores one paper, writes one TL;DR

Architecture

Core Components

  • main.py - CLI entry point (argparse); loads .env, handles the already-exists/--force check
  • src/digest.py - Pipeline orchestration: fetch → score → select → TL;DR → render/write
  • src/rss.py - ArxivRSS class handles fetching papers from arXiv RSS feeds
  • src/llm.py - Provider registry (PROVIDERS), create_client(), and LLMPaperReader (relevance scoring + TL;DR generation)
  • src/logger.py - JSONL activity logging to logs/activity.jsonl; inspect with check_log.py

Key Design Patterns

  • Idempotent runs: Output is keyed by date; if digests/<date>/digest-<date>.json exists the run exits cleanly (exit 0) without API calls, unless --force
  • Multi-provider via one code path: OpenAI, Anthropic, and OpenRouter are all accessed through the OpenAI SDK (base_url override + per-provider API key env var); structured output via chat.completions.parse with Pydantic models
  • Concurrent Processing: ThreadPoolExecutor (50 workers by default) for both scoring and TL;DR phases
  • Error Resilience: Retry logic with graceful fallbacks — failed scoring returns neutral (0.0) judgements, failed TL;DRs return empty strings, so a batch never aborts
  • Configuration-Driven: All settings (topics, arXiv subjects, provider/model, threshold, output dir) are in config.json

Read the full file on GitHub · 93 lines

Changes

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.

  1. 9d ago First seen · 93 lines · 1,787 tokens per session scan A cbd3a0425f78

Subscribe to this mod's changes

daily_arxiv_digest AGENTS.md is an instructions file published in the GitHub repository yang3kc/daily_arxiv_digest (21 stars, last pushed 14d ago), licensed MIT. It adds 1,787 tokens to every session, about $0.0089 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.

Related

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.

vercel/next.js · 7,296 tokens

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.

openai/codex · 5,153 tokens

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).

microsoft/vscode · 6,785 tokens

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).

microsoft/vscode · 5,001 tokens

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.

langchain-ai/langchain · 4,469 tokens

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.

github/spec-kit · 7,104 tokens