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 nikets40/fleapit --skill torrentsgit clone --depth 1 https://github.com/nikets40/fleapitWrote 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/nikets40/fleapit/torrents)<a href="https://agentmods.dev/skills/nikets40/fleapit/torrents"><img src="https://agentmods.dev/badge/skills/nikets40/fleapit/torrents/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/nikets40/fleapit/torrents"><img src="https://agentmods.dev/badge/skills/nikets40/fleapit/torrents.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00048 | $0.00453 |
| Opus 5.5 | $0.00019 | $0.00181 |
| Sonnet 5.5 | $0.00010 | $0.00091 |
| Haiku 4.5 | $0.00005 | $0.00045 |
Grade A, and why
torrents 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 2mo 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.
What it actually says
Torrents
The fleapit MCP server provides: search_torrents, download_torrent, stream_torrent, list_files, list_downloads, control_torrent.
Workflow
- Search first.
search_torrentswith the user's query; passcategory(movies/tv/anime/games) when obvious — it's faster and cleaner. Results are sorted by seeders. - Pick sensibly. Prefer high seeders and reasonable size. For movies, a 1–4 GB 1080p file beats a 60 GB remux unless asked. Show the user 2–3 candidates if the choice isn't obvious.
- Download or stream:
- User wants the file →
download_torrentwith the magnet. - User wants to watch it →
stream_torrent; it picks the largest video file and opens VLC automatically. Playback starts within seconds; the download continues behind it. - Multi-episode torrent →
list_filesfirst, thenstream_torrentwith the rightfileIndex.
- User wants the file →
- Progress.
list_downloadsshows progress/speed/ETA. Don't poll in a loop unless asked to babysit a download. - Cleanup.
control_torrentpauses/resumes;removeforgets but keeps files;deletealso removes files from disk — confirm with the user beforedelete.
Notes
- Downloads go to
~/Downloadsunless the user gives a folder (orFLEAPIT_DIRis set). - Torrents live only while the MCP server runs; interrupted downloads resume from existing file data when re-added.
- If metadata fetch times out, the swarm is weak — suggest a better-seeded result instead of retrying blindly.
- A seeders count of 0 from a source that doesn't report health means "unknown", not "dead".
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.
- 2mo ago First seen · 27 lines · 48 tokens per session scan A 9bdaf78cc6b7
torrents is a skill published in the GitHub repository nikets40/fleapit (0 stars, last pushed 3mo ago), licensed MIT. It adds 48 tokens to every session and 453 once invoked, about $0.0002 per session on Opus 5.5. 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.
torrents compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| torrentsnikets40/fleapit | Skill | 0 | 3mo ago | MIT | A | 48 | Claude Code |
| imagegenopenai/codex | Skill | 134k | today | Apache-2.0 | A | 113 | Codex |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | yesterday | MIT | A | 200 | Claude Code, Codex |
| playwright-climicrosoft/playwright | Skill | 100k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| browser-automationopenclaw/openclaw | Skill | 394k | today | MIT | A | 36 | Claude Code |
| systematic-debuggingobra/superpowers | Skill | 314k | 5d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |