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.
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.
curl -O https://raw.githubusercontent.com/LearnPrompt/ai-news-radar/master/CLAUDE.mdgit clone --depth 1 https://github.com/LearnPrompt/ai-news-radarWrote 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/learnprompt/ai-news-radar/claude-md)<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.
<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>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 | $0.00142 | $0.00142 |
| Opus 5 | $0.00071 | $0.00071 |
| Sonnet 5 | $0.00028 | $0.00028 |
| Haiku 4.5 | $0.00014 | $0.00014 |
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 11d 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.
What it actually says
Claude Code Notes
Before changing this project, read:
skills/ai-news-radar/SKILL.mddocs/SOURCE_COVERAGE.mdREADME.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.
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.
- 11d ago First seen · 19 lines · 142 tokens per session scan A 7fcc14422487
ai-news-radar CLAUDE.md is an instructions file published in the GitHub repository LearnPrompt/ai-news-radar (1,711 stars, last pushed today), licensed MIT. It adds 142 tokens to every session, about $0.0007 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).
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 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.