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.
npx skills add besoeasy/open-skills --skill torrent-searchgit clone --depth 1 https://github.com/besoeasy/open-skillsWrote 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/skills/besoeasy/open-skills/torrent-search)<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.
<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>- NVIDIA SkillSpector warn
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
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 | $0.00066 | $0.03435 |
| Opus 5 | $0.00033 | $0.01717 |
| Sonnet 5 | $0.00013 | $0.00687 |
| Haiku 4.5 | $0.00007 | $0.00344 |
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) 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.
Torrent Search
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, fromlibxml2-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
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.
- 12d ago First seen · 331 lines · 66 tokens per session scan B 83b6357f94b8
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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