ai-news-radar: Instructions file for Claude Code

CLAUDE.md

ai-news-radar CLAUDE.md is an instructions file for Claude Code from LearnPrompt/ai-news-radar. It costs 142 tokens per session, scanned A, original, MIT.

A set of project instructions for an AI and technology news radar built with GitHub Actions, a web interface, and a source-collection skill.

In plain words
What is it for?
Use it as guidance when changing the news radar, adding sources, or working with its public and maintainer-focused features.
Why use it?
It tells contributors what project files to read, how the product is organized, and which private files and secrets must stay out of the repository.

Instructions file for Claude Code

Written for Claude Code: the file is CLAUDE.md. Also seen: mentions Claude Code.

This is LearnPrompt/ai-news-radar's own configuration. It tells Claude Code how to work on ai-news-radar 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 ai-news-radar configures →

About the project

AI News Radar is an automated service that collects AI and technology updates, evaluates source quality, combines reports about the same event, and presents selected news in a web interface. It is for people who want a daily view of AI news and for developers who want to run a customized radar with their own sources. The catalogue add-ons help coding agents assess sources, maintain collection logic, and deploy the radar.

LearnPrompt/ai-news-radar · 1,812 stars · on GitHub · learnprompt.github.io

Reuse

Borrowing it

Nothing to install: this file belongs to LearnPrompt/ai-news-radar. 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/LearnPrompt/ai-news-radar/master/CLAUDE.md
Clone the repo
git clone --depth 1 https://github.com/LearnPrompt/ai-news-radar

Made for: Claude Code.

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 ai-news-radar CLAUDE.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/learnprompt/ai-news-radar/claude-md/github.svg)](https://agentmods.dev/instructions/learnprompt/ai-news-radar/claude-md)
Your own site
<a href="https://agentmods.dev/instructions/learnprompt/ai-news-radar/claude-md"><img src="https://agentmods.dev/badge/instructions/learnprompt/ai-news-radar/claude-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 ai-news-radar CLAUDE.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/learnprompt/ai-news-radar/claude-md"><img src="https://agentmods.dev/badge/instructions/learnprompt/ai-news-radar/claude-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 142 This file is loaded in full into every session.
When invoked 142 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 $0.00142 $0.00142
Opus 5.5 $0.00057 $0.00057
Sonnet 5.5 $0.00028 $0.00028
Haiku 4.5 $0.00014 $0.00014

Measured 2mo ago against content hash 7fcc14422487, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ai-news-radar CLAUDE.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 2mo 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.

CLAUDE.md · 19 lines

What it actually says

Claude Code Notes

Before changing this project, read:

  • skills/ai-news-radar/SKILL.md
  • docs/SOURCE_COVERAGE.md
  • README.md

Do not commit private OPML files, API keys, cookies, browser exports, or .env values. Keep the public repo usable without secrets.

The product direction is a two-layer AI news tool:

  • Default layer: curated AI-focused view for ordinary AI enthusiasts.
  • Advanced layer: custom OPML/source configuration and source health details for maintainers.

When adding sources, prefer official RSS/Atom feeds or OPML first. Add custom fetchers only for stable, public, high-signal sources.

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. 2mo ago First seen · 19 lines · 142 tokens per session scan A 7fcc14422487

Subscribe to this mod's changes

ai-news-radar CLAUDE.md is an instructions file published in the GitHub repository LearnPrompt/ai-news-radar (1,812 stars, last pushed yesterday), licensed MIT. It adds 142 tokens to every session, about $0.0006 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 2026-08-30.

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