torrent-search

torrent-search is a skill for Claude Code, Codex from besoeasy/open-skills. It costs 66 tokens per session (3,435 once invoked), scanned B, original, MIT.

A coding skill for searching torrent indexes through a Torznab-compatible service, using a title or an IMDb identifier. IMDb is a website that assigns identifiers to films and television shows.

In plain words
What is it for?
Use it to search for films or shows, compare release sizes and quality, and retrieve magnet links from a configured torrent index.
Why use it?
It gathers available releases and their technical details in one search instead of requiring manual browsing across an indexer.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to search for films or shows, compare release sizes and quality, and retrieve magnet links from a configured torrent index.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/besoeasy/open-skills/torrent-search
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add besoeasy/open-skills --skill torrent-search
Clone the repo
git clone --depth 1 https://github.com/besoeasy/open-skills

Made for: Claude Code, Codex.

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 torrent-search

README.md
[![agentmods](https://agentmods.dev/badge/skills/besoeasy/open-skills/torrent-search/github.svg)](https://agentmods.dev/skills/besoeasy/open-skills/torrent-search)
Your own site
<a href="https://agentmods.dev/skills/besoeasy/open-skills/torrent-search"><img src="https://agentmods.dev/badge/skills/besoeasy/open-skills/torrent-search/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 torrent-search

Your own site · 80×15
<a href="https://agentmods.dev/skills/besoeasy/open-skills/torrent-search"><img src="https://agentmods.dev/badge/skills/besoeasy/open-skills/torrent-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 66 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,435 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 2 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 5 findings, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Supply Chain · line 59
    Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.
    Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
  • high Supply Chain · line 151
    Remote code is downloaded and executed. This bypasses code review and could introduce malicious code.
    Fix: Avoid downloading and executing remote scripts. Use trusted packages from PyPI/npm. If remote fetch is required, verify checksums and use HTTPS.
  • medium Privilege Escalation · line 28
    Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.
    Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
  • medium Privilege Escalation · line 313
    Commands invoke sudo or root privileges. Verify this elevated access is necessary and justified.
    Fix: Avoid sudo/root unless strictly required. Prefer least-privilege patterns. If elevation is needed, document the justification and scope.
  • medium MCP Rug Pull · line 321
    Docker image references without a specific tag (:latest is implicit) or digest (@sha256:...) can be silently replaced by a malicious image.
    Fix: Pin the image: image:tag or image@sha256:abc123
How audits are shown
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 $0.00066 $0.03435
Opus 5 $0.00033 $0.01717
Sonnet 5 $0.00013 $0.00687
Haiku 4.5 $0.00007 $0.00344

Measured 12d ago against content hash 83b6357f94b8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade B, and why

torrent-search scanned grade B with 2 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 12d 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.

Asks for rootmediumPrivilege escalation

A mod that escalates privileges can change anything on the machine, not only the project.

sudo apt-get install -y curl jq libxml2-utils

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- `curl` — HTTP requests (pre-installed on most systems)
skills/torrent-search/SKILL.md · 331 lines

How it starts

The opening of the file, as written. The whole thing — 331 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Search any Torznab-compatible indexer (e.g. bitmagnet) for torrents by title or IMDB ID. Returns magnet links, file sizes, seeders, resolution, and codec.

When to use

  • User asks to find a torrent for a movie, TV show, or any other content
  • User provides an IMDB ID (e.g. tt1234567) and wants download options
  • You need to programmatically retrieve a magnet link for a given title
  • User asks to compare available qualities (720p, 1080p, 2160p) for a release

Required tools / APIs

  • curl — HTTP requests (pre-installed on most systems)
  • jq — JSON parsing (used after XML→JSON conversion)
  • xmllint — XML parsing (optional, from libxml2-utils)
  • A running Torznab endpoint — examples use https://bitmagnetfortheweebs.midnightignite.me/torznab/api

Install options:

# Ubuntu/Debian
sudo apt-get install -y curl jq libxml2-utils

# macOS
brew install curl jq libxml2

# Node.js (no extra packages — uses native fetch + DOMParser via fast-xml-parser)
npm install fast-xml-parser

Skills

search_by_title

Search for torrents using a free-text title query.

TORZNAB_URL="https://bitmagnetfortheweebs.midnightignite.me/torznab/api"
QUERY="Breaking Bad"

curl -fsS --max-time 15 \
  "${TORZNAB_URL}?t=search&q=$(python3 -c "import urllib.parse,sys; print(urllib.parse.quote(sys.argv[1]))" "$QUERY")" \
  | xmllint --xpath "//item" - 2>/dev/null \
  | grep -oP '(?<=<title>).*?(?=</title>)'

Full extraction with magnet links:

TORZNAB_URL="https://bitmagnetfortheweebs.midnightignite.me/torznab/api"
QUERY="Inception 2010"

xml=$(curl -fsS --max-time 15 \
  "${TORZNAB_URL}?t=search&q=$(python3 -c "import urllib.parse,sys; print(urllib.parse.quote(sys.argv[1]))" "$QUERY")")

# Print title + magnet for each result
echo "$xml" | python3 - << 'EOF'
import sys, xml.etree.ElementTree as ET

data = sys.stdin.read()
root = ET.fromstring(data)
ns = {'torznab': 'http://torznab.com/schemas/2015/feed'}

for item in root.findall('.//item'):
    title = item.findtext('title', '')
    size  = item.findtext('size', '0')
    enc   = item.find('enclosure')
    magnet = enc.get('url') if enc is not None else ''

    attrs = {a.get('name'): a.get('value') for a in item.findall('torznab:attr', ns)}
    seeders    = attrs.get('seeders', '?')
    resolution = attrs.get('resolution', '')
    codec      = attrs.get('video', '')

    size_gb = round(int(size) / 1_073_741_824, 2)
    print(f"{title}")
    print(f"  Size: {size_gb} GB  Seeders: {seeders}  {resolution} {codec}")
    print(f"  Magnet: {magnet[:80]}...")
    print()
EOF

Read the full file on GitHub · 331 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. 12d ago First seen · 331 lines · 66 tokens per session scan B 83b6357f94b8

Subscribe to this mod's changes

torrent-search is a skill published in the GitHub repository besoeasy/open-skills (132 stars, last pushed 7d ago), licensed MIT. It adds 66 tokens to every session and 3,435 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 2 findings (asks for root, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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