agents-radar is an automated GitHub Actions workflow that gathers AI-related updates from sources such as GitHub, ArXiv, Hacker News, Hugging Face, and Product Hunt, then publishes bilingual daily digests. Developers and AI enthusiasts use its issues, Markdown reports, web interface, RSS feed, and messaging notifications to follow the ecosystem. The catalogue instructions relate to running or using this reporting workflow.
Borrowing it
Nothing to install: this file belongs to duanyytop/agents-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/duanyytop/agents-radar/master/CLAUDE.mdgit clone --depth 1 https://github.com/duanyytop/agents-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/duanyytop/agents-radar/claude-md)<a href="https://agentmods.dev/instructions/duanyytop/agents-radar/claude-md"><img src="https://agentmods.dev/badge/instructions/duanyytop/agents-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/duanyytop/agents-radar/claude-md"><img src="https://agentmods.dev/badge/instructions/duanyytop/agents-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 | $0.04299 | $0.04299 |
| Opus 5.5 | $0.01720 | $0.01720 |
| Sonnet 5.5 | $0.00860 | $0.00860 |
| Haiku 4.5 | $0.00430 | $0.00430 |
Grade A, and why
agents-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.
How it starts
The opening of the file, as written. The whole thing — 168 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
Project overview
agents-radar is a daily digest generator for the AI open-source ecosystem. A GitHub Actions cron job runs at 22:37 UTC (06:37 CST next day) and produces bilingual (Chinese + English) reports, published as GitHub Issues and committed Markdown files.
Commands
pnpm start # run the full digest locally
pnpm test # vitest (unit tests)
pnpm typecheck # tsc --noEmit
pnpm lint # ESLint
pnpm lint:fix # ESLint --fix
pnpm format # Prettier --write src
pnpm format:check # Prettier --check src
Required env vars for local runs:
export GITHUB_TOKEN=ghp_xxxxx
export DIGEST_REPO=owner/repo # omit to skip GitHub issue creation
# LLM provider (default: anthropic)
export LLM_PROVIDER=anthropic # anthropic | openai | github-copilot | openrouter | deepseek | qwen
# Anthropic (default)
export ANTHROPIC_API_KEY=sk-ant-xxxxx
# OpenAI
# export OPENAI_API_KEY=sk-xxxxx
# GitHub Copilot — uses GITHUB_TOKEN
# OpenRouter
# export OPENROUTER_API_KEY=sk-or-xxxxx
# DeepSeek
# export DEEPSEEK_API_KEY=sk-xxxxx
# Qwen (Alibaba Model Studio) — provider used by the GitHub Actions cron
# export DASHSCOPE_API_KEY=sk-xxxxx
Architecture
The pipeline runs in five sequential phases, each implemented as a named async function in src/index.ts:
fetchAllData— all network I/O in parallel: GitHub API (issues/PRs/releases) for 18 repos, Claude Code Skills, Anthropic/OpenAI sitemaps, GitHub Trending HTML + Search API, Hacker News Algolia API.generateSummaries— per-repo LLM calls in English only, all in parallel, rate-limited to 5 concurrent requests by a queue insrc/report.ts.translateSummaries— translates the English bodies to Chinese viatranslateToZh.- Comparisons — three English LLM calls (cross-tool CLI, OpenClaw cross-ecosystem, infra), each then translated.
- Save phase —
buildCliReportContent/buildOpenclawReportContent/buildInfraReportContent(insrc/report-builders.ts) build Markdown strings; thesaveXxxReportfunctions (insrc/report-savers.ts) generate their body in English, translate it, then write both language files and create both GitHub Issues.
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.
- 2mo ago Changed · +4 lines · +362 tokens per session 668f7caf7e9e
- 2mo ago First seen · 164 lines · 3,937 tokens per session scan A 7e469b0aa85d
agents-radar CLAUDE.md is an instructions file published in the GitHub repository duanyytop/agents-radar (1,152 stars, last pushed yesterday), licensed MIT. It adds 4,299 tokens to every session, about $0.0172 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.
agents-radar CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| agents-radar CLAUDE.mdduanyytop/agents-radar | Instructions file | 1.2k | yesterday | MIT | A | 4,299 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | yesterday | MIT | A | 4,680 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 5,516 | GitHub Copilot |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | yesterday | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |