Jina Reader is an open-source service that turns web pages and submitted documents into text formatted for large language models, and provides a separate endpoint for web search. It is used in AI agents and retrieval-augmented generation systems that need information from the web. The catalogue instruction helps agents use Reader as an input source.
Borrowing it
Nothing to install: this file belongs to jina-ai/reader. 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/jina-ai/reader/main/CLAUDE.mdgit clone --depth 1 https://github.com/jina-ai/readerWrote 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/jina-ai/reader/claude-md)<a href="https://agentmods.dev/instructions/jina-ai/reader/claude-md"><img src="https://agentmods.dev/badge/instructions/jina-ai/reader/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/jina-ai/reader/claude-md"><img src="https://agentmods.dev/badge/instructions/jina-ai/reader/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 | $0.02542 | $0.02542 |
| Opus 5.5 | $0.01017 | $0.01017 |
| Sonnet 5.5 | $0.00508 | $0.00508 |
| Haiku 4.5 | $0.00254 | $0.00254 |
Grade A, and why
reader CLAUDE.md scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- Engines (URL→HTML): `puppeteer.ts` (browser), `curl.ts` (curl-impersonate), `cf-browser-rendering.ts`. `auto` is the default and is implemented in `crawler.ts`. How it starts
The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CLAUDE.md
This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.
Repository identity
This is the oss branch of reader-saas, the codebase behind https://r.jina.ai (URL → markdown) and https://s.jina.ai (search → markdown). It is published to https://github.com/jina-ai/reader. The MongoDB-backed SaaS storage layer is not in this branch — only the stateless and bucket-cached storage modes ship here.
Companion docs in this repo:
architecture.md— engines, formatting profiles, abuse mitigation, deployment topology.CONTRIBUTING.md— full env var table, dev workflow, test policy.cookbooks.md— header recipes for common downstream pipelines (RAG, embedding, deep research, uploads, etc.).
Common commands
Build / run:
npm run build— runsintegrity-check.cjs(requireslicensed/GeoLite2-City.mmdbto exist) thentsc -p .. The integrity check is not optional — baretscwill skip it.npm run build:watch— incremental build for the F5 debug flow.npm start— runs the compiled crawler entrypoint (build/stand-alone/crawl.js).npm run dry-run—NODE_ENV=dry-runbootssearch.js, resolves the DI graph, then exits viafinalizer.terminate(). Used in the Dockerfile to warmNODE_COMPILE_CACHE.
Local services (docker compose up -d):
minioon:9000(API) /:9001(console) — also aliased asminio.dev.jina.ai. Only needed when running withBucketStorageLayer.
VSCode F5 launches Debug Stand Alone Crawl (or Search / SERP), which runs Backend:prepare (docker compose + tsc watch) first. --env-file=.secret.local is loaded by Node directly — that file is gitignored and must be created locally.
Three independent stand-alone servers:
build/stand-alone/crawl.js— mountsCrawlerHost(ther.jina.aisurface).build/stand-alone/search.js— mountsSearcherHost. At startup it deletes any registry entries tagged'crawl', so search and crawl are mutually exclusive on a single process.build/stand-alone/serp.js— SERP-only.
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 First seen · 127 lines · 2,542 tokens per session scan A fac7f3591702
reader CLAUDE.md is an instructions file published in the GitHub repository jina-ai/reader (12,238 stars, last pushed 5mo ago), licensed Apache-2.0. It adds 2,542 tokens to every session, about $0.0102 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
reader CLAUDE.md compared with instructions from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| reader CLAUDE.mdjina-ai/reader | Instructions file | 12k | 5mo ago | Apache-2.0 | A | 2,542 | Claude Code |
| vscode buildNext.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 9,719 | GitHub Copilot |
| next.js AGENTS.mdvercel/next.js | Instructions file | 143k | today | MIT | A | 7,461 | Codex, OpenCode |
| vscode oss-third-party-notices.instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 5,516 | GitHub Copilot |
| langchain AGENTS.mdlangchain-ai/langchain | Instructions file | 149k | today | MIT | A | 4,680 | Codex, OpenCode |
| vscode copilot-instructions.mdmicrosoft/vscode | Instructions file | 195k | today | MIT | A | 3,093 | GitHub Copilot |
| deepseek-harness AGENTS.mddeepseek-ai/deepseek-harness | Instructions file | 274k | 2d ago | MIT | A | 4,313 | Codex, OpenCode |