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 xiaotianfotos/skills --skill dlnagit clone --depth 1 https://github.com/xiaotianfotos/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/xiaotianfotos/skills/dlna)<a href="https://agentmods.dev/skills/xiaotianfotos/skills/dlna"><img src="https://agentmods.dev/badge/skills/xiaotianfotos/skills/dlna/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/xiaotianfotos/skills/dlna"><img src="https://agentmods.dev/badge/skills/xiaotianfotos/skills/dlna.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 | $0.00033 | $0.00720 |
| Opus 5 | $0.00016 | $0.00360 |
| Sonnet 5 | $0.00007 | $0.00144 |
| Haiku 4.5 | $0.00003 | $0.00072 |
Grade A, and why
dlna 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 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.
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 — 112 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DLNA - Media Device Control
Control DLNA/UPnP MediaRenderer devices on your local network.
Quick Start
# Discover devices
uv run dlna discover
# Set default device (optional but convenient)
uv run dlna config --device "HT-Z9F"
# Play with default device (no need to specify device name)
uv run dlna play "http://example.com/video.mp4"
# Or play with specific device
uv run dlna play "http://example.com/video.mp4" "Living Room TV"
# Stop playback
uv run dlna stop
Commands
| Command | Description |
|---|---|
discover |
Scan for DLNA devices |
play <url> [device] |
Play media URL on device |
stop [device] |
Stop playback |
status [device] |
Get playback status |
config |
Show configuration |
config --device <name> |
Set default device |
config --unset-device |
Clear default device |
Configuration
Default device is saved in .dlna/config.json inside the skill directory.
# Set default device
uv run dlna config --device "HT-Z9F"
# Show current config
uv run dlna config
# Clear default device
uv run dlna config --unset-device
Playing Local Files
DLNA devices can only play URLs, not local file paths. To play local files, you need to serve them via HTTP.
IMPORTANT: Use Background Task for HTTP Server
Always use a background task (Bash with run_in_background) to start the HTTP server. This ensures:
- No zombie processes: When Claude Code session ends, the server is automatically terminated
- Clean resource management: Server lifecycle is tied to the session
- No port conflicts: Server stops when done, freeing the port
Example: Play Local File
# Step 1: Start HTTP server in background
# This runs in background and auto-stops when session ends
# Step 2: Get your local IP
import socket
def get_ip():
s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
s.connect(("8.8.8.8", 80))
ip = s.getsockname()[0]
s.close()
return ip
# Step 3: Construct URL and play
url = f"http://{get_ip()}:8000/video.mp4"
# uv run dlna play url
What ships with it
11 files 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.
- .python-version 4 B
- pyproject.toml 500 B
- README.md 3.9 KB
- requirements.txt 54 B
- scripts/setup.sh 1.0 KB runs code
- src/dlna/__init__.py 550 B runs code
- src/dlna/cli.py 3.3 KB runs code
- src/dlna/config.py 2.2 KB runs code
- src/dlna/discover.py 1.2 KB runs code
- src/dlna/player.py 4.3 KB runs code
- src/dlna/server.py 2.0 KB runs code
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 · 112 lines · 33 tokens per session scan A 07c68522afa9
dlna is a skill published in the GitHub repository xiaotianfotos/skills (581 stars, last pushed 5mo ago), licensed MIT. It adds 33 tokens to every session and 720 once invoked, about $0.0002 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.
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