Borrowing it
Nothing to install: this file belongs to sandraschi/rtorrent-mcp. 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/sandraschi/rtorrent-mcp/main/AGENTS.mdgit clone --depth 1 https://github.com/sandraschi/rtorrent-mcpWrote 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/sandraschi/rtorrent-mcp/agents-md)<a href="https://agentmods.dev/instructions/sandraschi/rtorrent-mcp/agents-md"><img src="https://agentmods.dev/badge/instructions/sandraschi/rtorrent-mcp/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 | $0.01329 | $0.01329 |
| Opus 5 | $0.00665 | $0.00665 |
| Sonnet 5 | $0.00266 | $0.00266 |
| Haiku 4.5 | $0.00133 | $0.00133 |
Grade A, and why
rtorrent-mcp AGENTS.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 7d 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 — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — rtorrent-mcp (qbt-mcp)
Per-repo overrides for the fleet-wide AGENTS.md. Repo dir:
rtorrent-mcp; Python packagertorrent_mcp; PyPI namertorrent-mcp(historic qBittorrent prototype nameqbtmcpis retired).
Ports
| Service | Port | Notes |
|---|---|---|
| rTorrent XML-RPC (nginx) | 12224 |
In Docker: crazymax/rtorrent-rutorrent |
| ruTorrent WebUI | 12222 |
In Docker container |
| rtorrent-mcp backend (uvicorn) | 10910 |
MCP HTTP /mcp + REST /api/* |
| rtorrent-mcp frontend (Vite) | 10911 |
Proxies /api + /mcp → 10910 |
Tests
# Run all tests (coverage requires 80%)
uv run pytest
# Run specific files
uv run pytest tests/test_media_integrator.py -v -o "addopts="
# Playwright e2e (in web_sota/)
cd web_sota
npx playwright test
Architecture
6 portmanteau tools + 1 agentic workflow:
torrent_management (13 actions) — add, list, pause, resume, delete, status, info,
notify_media, check_completed, process,
start_processing, stop_processing, normalize
search_management (14 actions) — anime, manga, japanese_tv, movies, tv_shows,
tv_smart, ebooks_annas, ebooks_gutenberg,
ebooks_pb, comics, annas_detail, imdb, imdb_search, tvdb
nlp_management (3 actions) — command, parse, help
legal_management (4 actions) — risk, check, advice, status
system_management (5 actions) — help, status, health, info, analyze
workflow_management (8 actions) — franchise, batch_series, status, cancel,
list, estimate, queue, schedule
agentic_rtorrent_workflow — LLM-orchestrated multi-step (requires Ollama)
Cross-Connect
- Plex/Jellyfin:
MediaIntegratorfires library scans after direct downloads (anime via nyaa). Configure viaPLEX_URL/PLEX_TOKEN/JELLYFIN_URL/JELLYFIN_API_KEYin.env. - *arr apps (Radarr/Sonarr): Do NOT go through rtorrent-mcp. Configure rTorrent as a
download client directly in each *arr (Settings > Download Clients > rTorrent,
host: localhost, port: 12224, path: /RPC2).
See
docs/ARR_RTORRENT_SETUP.md. - Obscura MCP (
obscura-mcp): Uses the Obscura Rust headless engine to solve Cloudflare/Turnstile/CAPTCHA challenges and JS countdown queues on protected indexers or Anna's Archive slow mirror links.
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.
- 7d ago First seen · 104 lines · 1,329 tokens per session scan A 622c9c747e01
rtorrent-mcp AGENTS.md is an instructions file published in the GitHub repository sandraschi/rtorrent-mcp (1 stars, last pushed yesterday), licensed MIT. It adds 1,329 tokens to every session, about $0.0066 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 2026-08-31.
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