jellyfin

jellyfin is a skill for Claude Code, Codex from magnus919/agent-skills. It costs 87 tokens per session (2,815 once invoked), scanned A, original, MIT.

A terminal tool for browsing and querying a Jellyfin media server, which stores and streams movies and TV shows. It can inspect libraries, series, episodes, recently added items, and server information.

In plain words
What is it for?
Use it to find movies or shows, inspect item details, browse seasons and episodes, see next-up episodes, check recently added media, and view server information.
Why use it?
It lets you check and search your media library from the command line without opening the Jellyfin web interface. Most operations only read server data.

Skill for Claude CodeCodex

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

Good fit Use it to find movies or shows, inspect item details, browse seasons and episodes, see next-up episodes, check recently added media, and view server information.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/magnus919/agent-skills/jellyfin
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 magnus919/agent-skills --skill jellyfin
Clone the repo
git clone --depth 1 https://github.com/magnus919/agent-skills

Made for: Claude Code, Codex.

Its marketplace also offers this one on its own, as the plugin jellyfin/plugin install jellyfin after adding the marketplace above.

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 jellyfin

README.md
[![agentmods](https://agentmods.dev/badge/skills/magnus919/agent-skills/jellyfin/github.svg)](https://agentmods.dev/skills/magnus919/agent-skills/jellyfin)
Your own site
<a href="https://agentmods.dev/skills/magnus919/agent-skills/jellyfin"><img src="https://agentmods.dev/badge/skills/magnus919/agent-skills/jellyfin/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 jellyfin

Your own site · 80×15
<a href="https://agentmods.dev/skills/magnus919/agent-skills/jellyfin"><img src="https://agentmods.dev/badge/skills/magnus919/agent-skills/jellyfin.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,815 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. 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: 3 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 Privilege Escalation · line 10
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • high Privilege Escalation · line 50
    Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.
    Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
  • medium Data Exfiltration · line 16
    Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.
    Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 $0.00087 $0.02815
Opus 5 $0.00044 $0.01407
Sonnet 5 $0.00017 $0.00563
Haiku 4.5 $0.00009 $0.00281

Measured 8d ago against content hash 302cac2af935, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

jellyfin scanned grade A with 1 finding 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 8d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/test_jellyfin_cli.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Makes network callslowCapability

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

| [references/worked-recipes.md](references/worked-recipes.md) | Multi-step curl/jq and CLI recipes: login → latest, libraries → browse, search → seasons → episodes |
jellyfin/SKILL.md · 227 lines

How it starts

The opening of the file, as written. The whole thing — 227 lines — stays where its author put it; the contents beside it link to each section on GitHub.

jellyfin — Jellyfin Media Server from the Terminal

Query recently added movies and TV episodes, search and inspect media, walk series → seasons → episodes, browse libraries, see next-up episodes, log in as a user, and check server stats — all from your Jellyfin server's REST API. Every command is read-only except login.

Setup

  1. Make sure your Jellyfin server is running and accessible (default http://localhost:8096).
  2. Pick an authentication route:
    • API key — Dashboard → API Keys+. Administrator-level, no user identity: every user-scoped command then needs an explicit user id.
    • User token — run scripts/jellyfin login --username NAME --prompt once; it prints the values to export.
  3. Set these environment variables:
export JELLYFIN_URL="http://your-server:8096"   # include protocol and port
export JELLYFIN_API_KEY="your-api-key-here"     # or JELLYFIN_TOKEN after `login`
export JELLYFIN_USER_ID="your-jellyfin-user-id" # required by recent, next-up, item, seasons, episodes

Run the bundled CLI as scripts/jellyfin. --help and --dry-run work without credentials.

How authentication works

Jellyfin wants a MediaBrowser-scheme Authorization header on every call. The login endpoint requires its Client=..., Device=..., DeviceId=..., Version=... quartet before any token exists — the server rejects POST /Users/AuthenticateByName with 400 Error processing request. otherwise. Afterwards the access token (or API key) rides the same header as Token="..."; the legacy X-Emby-Token header means the same thing and is scheduled for removal from Jellyfin 12.0. The bundled CLI sends the modern form and puts the token in exactly that one channel per request (never co-sends X-Emby-Token). See references/auth-and-sessions.md.

Essential Commands

Authentication — get a session

scripts/jellyfin login --username alice --prompt          # prints JELLYFIN_* exports
echo "pw" | scripts/jellyfin login --username alice --password-stdin
scripts/jellyfin login --username alice --dry-run --json  # preview the pre-token header

Read the full file on GitHub · 227 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. 8d ago First seen · 227 lines · 87 tokens per session scan A 302cac2af935

Subscribe to this mod's changes

jellyfin is a skill published in the GitHub repository magnus919/agent-skills (76 stars, last pushed today), licensed MIT. It adds 87 tokens to every session and 2,815 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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