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 Hybirdss/smartest-tv --skill stv-conciergegit clone --depth 1 https://github.com/Hybirdss/smartest-tvWrote 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/hybirdss/smartest-tv/stv-concierge)<a href="https://agentmods.dev/skills/hybirdss/smartest-tv/stv-concierge"><img src="https://agentmods.dev/badge/skills/hybirdss/smartest-tv/stv-concierge/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/hybirdss/smartest-tv/stv-concierge"><img src="https://agentmods.dev/badge/skills/hybirdss/smartest-tv/stv-concierge.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 | $0.00149 | $0.00768 |
| Opus 5 | $0.00075 | $0.00384 |
| Sonnet 5 | $0.00030 | $0.00154 |
| Haiku 4.5 | $0.00015 | $0.00077 |
Grade A, and why
stv-concierge 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.
What it actually says
stv-concierge
Dispatch natural-language TV requests to stv without writing prose.
Always run the CLI command directly. Never describe what you would do — just do it.
When to use
- "play Dark on Netflix" / "넷플릭스에서 다크 틀어줘"
- "pause" / "일시정지"
- "resume" / "다시 틀어줘"
- "volume down" / "볼륨 낮춰" / "좀 작게"
- "volume up" / "볼륨 높여" / "좀 크게"
- "mute" / "음소거"
- "turn the TV off" / "TV 꺼" / "거실 TV 꺼줘"
- "good night" / "잘 자"
- "next episode" / "다음 화" / "이어서 봐"
- "what's on?" / "뭐 보여줘" / "뭐 볼 만한 거 있어?"
- "binge watch Squid Game" / "오징어 게임 몰아보기"
- "put on some music" / "노래 틀어줘"
- "play lo-fi on YouTube" / "유튜브에서 로파이 틀어줘"
- "movie night" / "영화 모드"
- "cast this URL"
How to use
Map the user's intent to a single stv command and run it immediately.
| User says | Command |
|---|---|
| "play Dark on Netflix" | stv play netflix "Dark" |
| "play Dark s1e3" | stv play netflix "Dark" s1e3 |
| "pause" | stv pause |
| "resume" / "다시 틀어줘" | stv resume |
| "volume down" / "볼륨 낮춰" | stv volume down |
| "mute" / "음소거" | stv mute |
| "TV 꺼" / "good night" / "잘 자" | stv off |
| "next episode" / "다음 화" | stv next |
| "뭐 보여줘" / "what's trending?" | stv whats-on |
| "오징어 게임 몰아보기" | stv play netflix "Squid Game" |
| "movie night" / "영화 모드" | stv scene movie-night |
| "cast https://youtu.be/..." | stv cast <url> |
| "play Frieren" (platform unknown) | stv play "Frieren" |
No TV configured? stv opens content in your browser automatically — no setup needed.
Install check
If stv is not on PATH, run pip install stv once and retry the command.
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 · 61 lines · 149 tokens per session scan A 95c0d51691f7
stv-concierge is a skill published in the GitHub repository Hybirdss/smartest-tv (47 stars, last pushed 24d ago), licensed MIT. It adds 149 tokens to every session and 768 once invoked, about $0.0007 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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