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.
curl -O https://raw.githubusercontent.com/its-me-prash/kleinanzeigen-reader/main/AGENTS.mdgit clone --depth 1 https://github.com/its-me-prash/kleinanzeigen-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/its-me-prash/kleinanzeigen-reader/agents-md)<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="Measured on agentmods" 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 | $0.00582 | $0.00582 |
| Opus 5 | $0.00291 | $0.00291 |
| Sonnet 5 | $0.00116 | $0.00116 |
| Haiku 4.5 | $0.00058 | $0.00058 |
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 6d 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"]) 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 fieldsreferences/ad-attributes-fields.md— all listing attribute names- Three always-present HTML sources: JSON-LD, the
ad_attributesGTM 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.
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.
- 6d ago First seen · 54 lines · 582 tokens per session scan A a2b55f10e975
kleinanzeigen-reader AGENTS.md is an instructions file published in the GitHub repository its-me-prash/kleinanzeigen-reader (4 stars, last pushed 1mo ago), licensed MIT. It adds 582 tokens to every session, about $0.0029 per session on Opus 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.
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).
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.
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.