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 OpenMinis/MinisSkills --skill qbt-hubgit clone --depth 1 https://github.com/OpenMinis/MinisSkillsWrote 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/openminis/minisskills/qbt-hub)<a href="https://agentmods.dev/skills/openminis/minisskills/qbt-hub"><img src="https://agentmods.dev/badge/skills/openminis/minisskills/qbt-hub/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/openminis/minisskills/qbt-hub"><img src="https://agentmods.dev/badge/skills/openminis/minisskills/qbt-hub.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00095 | $0.01381 |
| Opus 5 | $0.00048 | $0.00691 |
| Sonnet 5 | $0.00019 | $0.00276 |
| Haiku 4.5 | $0.00010 | $0.00138 |
Grade A, and why
qbt-hub 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 10d 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 — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.
qbt-hub
Manage qBittorrent (v5.0+) via its WebUI API using the bundled scripts/qbt.py.
Authentication
Credentials are read from env vars (set once, reused forever):
QBT_HOST— e.g.http://qbt.example.comQBT_USER— WebUI usernameQBT_PASS— WebUI password
Can also be overridden per-call: --host / --user / --pass
Script Location
/var/minis/skills/qbt-hub/scripts/qbt.py
Alias for convenience:
alias qbt="python3 /var/minis/skills/qbt-hub/scripts/qbt.py"
Commands
Add a task
# magnet link
python3 qbt.py add "magnet:?xt=urn:btih:..."
# https .torrent URL
python3 qbt.py add "https://example.com/file.torrent"
# local .torrent file
python3 qbt.py add ~/Downloads/movie.torrent
# with options
python3 qbt.py add "magnet:..." --savepath /data/movies --category Movies --tags "4K,DV" --paused --sequential
List / filter tasks
python3 qbt.py list # all tasks
python3 qbt.py list --filter downloading # active downloads
python3 qbt.py list --filter completed
python3 qbt.py list --tag 4K --sort size # filter by tag, sort by size
python3 qbt.py list --category Movies --asc
Filter choices: all downloading seeding completed paused active inactive stalled errored
Sort choices: name size progress dlspeed upspeed ratio added_on
Search
python3 qbt.py search ubuntu # fuzzy match on task name
Global status
python3 qbt.py status # DL/UL speed, totals, limits, turtle mode
Task details
python3 qbt.py info ubuntu # progress, files, trackers, peers
Pause / Resume / Recheck
python3 qbt.py pause ubuntu
python3 qbt.py resume all
python3 qbt.py recheck ubuntu
Delete
python3 qbt.py delete ubuntu # keep local files
python3 qbt.py delete ubuntu --files # also delete local data
Speed limits
# per-task
python3 qbt.py limit ubuntu --dl 500 --ul 100 # KB/s
python3 qbt.py limit ubuntu --dl 0 # remove limit
# global
python3 qbt.py speedlimit # show current
python3 qbt.py speedlimit --dl 2048 --ul 512
python3 qbt.py speedlimit --dl 0 # unlimited
python3 qbt.py speedlimit --alt # toggle turtle mode
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 10d ago First seen · 186 lines · 95 tokens per session scan A bc59594d436c
qbt-hub is a skill published in the GitHub repository OpenMinis/MinisSkills (407 stars, last pushed 6d ago), licensed MIT. It adds 95 tokens to every session and 1,381 once invoked, about $0.0005 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 2026-08-30.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…