kleinanzeigen-reader: Instructions file for Codex

AGENTS.md

kleinanzeigen-reader AGENTS.md is an instructions file for Codex, OpenCode from its-me-prash/kleinanzeigen-reader. It costs 582 tokens per session, scanned A, original, MIT.

A vendor-neutral instruction file for kleinanzeigen-reader, a zero-dependency Python toolkit and command-line tool for reading and analyzing Kleinanzeigen.de listings, a German classifieds website.

In plain words
What is it for?
Use it to fetch listings, compare several listings, detect seller and damage signals, download images, track prices, or work with the project’s APIs and agent integrations.
Why use it?
It gives different AI coding tools a shared way to use the project’s commands, Python API, and MCP server without rewriting its scraping logic.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions CLAUDE.md; mentions Claude Code; mentions AGENTS.md.

This is its-me-prash/kleinanzeigen-reader's own configuration. It tells Codex and OpenCode how to work on kleinanzeigen-reader 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 kleinanzeigen-reader configures →

Reuse

Borrowing it

Nothing to install: this file belongs to its-me-prash/kleinanzeigen-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.

Copy the file
curl -O https://raw.githubusercontent.com/its-me-prash/kleinanzeigen-reader/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/its-me-prash/kleinanzeigen-reader

Made for: 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 kleinanzeigen-reader AGENTS.md

README.md
[![agentmods](https://agentmods.dev/badge/instructions/its-me-prash/kleinanzeigen-reader/agents-md/github.svg)](https://agentmods.dev/instructions/its-me-prash/kleinanzeigen-reader/agents-md)
Your own site
<a href="https://agentmods.dev/instructions/its-me-prash/kleinanzeigen-reader/agents-md"><img src="https://agentmods.dev/badge/instructions/its-me-prash/kleinanzeigen-reader/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 kleinanzeigen-reader AGENTS.md

Your own site · 80×15
<a href="https://agentmods.dev/instructions/its-me-prash/kleinanzeigen-reader/agents-md"><img src="https://agentmods.dev/badge/instructions/its-me-prash/kleinanzeigen-reader/agents-md.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 582 This file is loaded in full into every session.
When invoked 582 The same file — it is already loaded in full.
Security scan A 1 finding. 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 $0.00582 $0.00582
Opus 5.5 $0.00233 $0.00233
Sonnet 5.5 $0.00116 $0.00116
Haiku 4.5 $0.00058 $0.00058

Measured 2mo ago against content hash a2b55f10e975, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

kleinanzeigen-reader AGENTS.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.

data = extract(fetch(url)["html"])
AGENTS.md · 54 lines

How it starts

The opening of the file, as written. The whole thing — 54 lines — stays where its author put it; the contents beside it link to each section on GitHub.

AGENTS.md — kleinanzeigen-reader

Vendor-neutral instructions for any AI coding/agent system (Cursor, GitHub Copilot, Codex, Cline, Aider, Windsurf, Zed, Gemini CLI, Claude Code …). Claude Code additionally reads CLAUDE.md; the Claude skill lives in SKILL.md / claude-skill/.

What this is

A zero-dependency Python toolkit + CLI that reads and analyzes any kleinanzeigen.de listing (Germany's largest classifieds): dealer vs. private detection, hidden damage flags, duplicate detection, image download, view/watch counters, price tracking, and an optional authenticated mode. Works on cars, electronics, real estate, furniture — any category.

How an agent should use it

Prefer these over re-implementing scraping:

# CLI — machine-readable JSON for any system to consume
kl-read "https://www.kleinanzeigen.de/s-anzeige/..." --json
kl-read URL1 URL2 --json          # compare
python -m kl_reader URL --json    # without installing the entry point
# Python API
from kl_reader import fetch, extract, get_flags, get_rating
from kl_reader import view_counter, seller_other_ads, price_reduction, PriceTracker, Session
data = extract(fetch(url)["html"])
# MCP server (Claude, ChatGPT desktop, Cursor, Cline, Windsurf …)
pip install "kleinanzeigen-reader[mcp]" && python mcp_server.py
# tools: read_listing, compare_listings, listing_views, seller_other_listings, track_price

Function-calling schemas (OpenAI / Gemini / Mistral / Ollama): tools/openai-tools.json.

Key data sources & references

  • references/mobile-api.md — reverse-engineered mobile CAPI map, auth scheme, hidden fields
  • references/ad-attributes-fields.md — all listing attribute names
  • Three always-present HTML sources: JSON-LD, the ad_attributes GTM string, the DFP block

Scope & rules

  • Read-only, public data, or your own account (bring-your-own-token, Session).
  • Do not access other users' paused/deleted/draft ads, and do not edit/delete listings that aren't yours (owner-scoped → 403). See references/mobile-api.md §7–§8.
  • Never store or repeat personal data (names, phone numbers) from listings.
  • Keep the core dependency-free — new hard dependencies are not accepted; use optional extras.
  • kl_reader/ exists twice (root + claude-skill/kl_reader/) — apply code changes to both.

Read the full file on GitHub · 54 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. 2mo ago First seen · 54 lines · 582 tokens per session scan A a2b55f10e975

Subscribe to this mod's changes

kleinanzeigen-reader AGENTS.md is an instructions file published in the GitHub repository its-me-prash/kleinanzeigen-reader (7 stars, last pushed 3mo ago), licensed MIT. It adds 582 tokens to every session, about $0.0023 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 2026-08-31.

Related

kleinanzeigen-reader AGENTS.md compared with instructions from other repositories

kleinanzeigen-reader AGENTS.md next to 6 instructions from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
kleinanzeigen-reader AGENTS.mdits-me-prash/kleinanzeigen-readerInstructions file73mo agoMITA582Codex, OpenCode
vscode buildNext.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA9,719GitHub Copilot
next.js AGENTS.mdvercel/next.jsInstructions file143kyesterdayMITA7,461Codex, OpenCode
langchain AGENTS.mdlangchain-ai/langchainInstructions file149kyesterdayMITA4,680Codex, OpenCode
vscode oss-third-party-notices.instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA5,516GitHub Copilot
vscode copilot-instructions.mdmicrosoft/vscodeInstructions file195kyesterdayMITA3,093GitHub Copilot
deepseek-harness AGENTS.mddeepseek-ai/deepseek-harnessInstructions file274k2d agoMITA4,313Codex, OpenCode