nexu is an open-source desktop client that connects an OpenClaw AI agent to messaging services such as WeChat, Feishu, Slack, and Discord. It is for people who want to chat with their agent from those channels using their own model credentials while keeping data on their computer, and the catalogue entries support its agent workflows.
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 nexu-io/nexu --skill libtv-videogit clone --depth 1 https://github.com/nexu-io/nexuWrote 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/nexu-io/nexu/libtv-video)<a href="https://agentmods.dev/skills/nexu-io/nexu/libtv-video"><img src="https://agentmods.dev/badge/skills/nexu-io/nexu/libtv-video/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/nexu-io/nexu/libtv-video"><img src="https://agentmods.dev/badge/skills/nexu-io/nexu/libtv-video.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 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 YARA Match · line 4 YARA rule matched a hack tool or exploit indicator (offensive tools, reconnaissance, privilege escalation, or exploit frameworks).Fix: Remove offensive tool references and exploit code. Legitimate agent skills should not contain penetration testing tools, exploit frameworks, or reconnaissance utilities.
- high System Prompt Leakage · line 292 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
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 | $0.00100 | $0.03481 |
| Opus 5 | $0.00050 | $0.01741 |
| Sonnet 5 | $0.00020 | $0.00696 |
| Haiku 4.5 | $0.00010 | $0.00348 |
Grade A, and why
libtv-video 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 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.
Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
`wait-and-deliver` background process via `subprocess.Popen(..., How it starts
The opening of the file, as written. The whole thing — 316 lines — stays where its author put it; the contents beside it link to each section on GitHub.
LibTV - Image & Video Generation (Seedance 2.0)
Generate AI images and videos through one bundled LibTV skill, powered by Seedance 2.0. Supports text-to-image, image-to-image, text-to-video, and image-to-video workflows, via both Nexu-managed Seedance execution and direct LibTV execution with a user-owned sk-libtv-... key.
Key routing:
mgk_...keys use Nexu-managed Seedance throughhttps://seedance.nexu.io/sk-libtv-...keys use direct LibTV OpenAPI throughhttps://im.liblib.tv
Delivery architecture (currently Feishu only):
create-sessioncapturesOPENCLAW_CHANNEL_TYPE+OPENCLAW_CHAT_ID, persists them as the session'sdeliveryblock, forks a detachedwait-and-deliverbackground process viasubprocess.Popen(..., start_new_session=True), and returns immediately with a single-line JSON submit confirmation on stdout.- The forked waiter polls the upstream LibTV API (Seedance gateway or
direct LibTV) and, on terminal success, shells out to
feishu_send_video.py— the same proven helper used bymedeo-video— which downloads each result URL, uploads it to Feishu's file API, and posts a native media message to the originating chat. - The waiter's output is captured in
$NEXU_HOME/libtv-waiter-<id>.logfor post-hoc debugging. Adelivered_attimestamp is persisted when the Feishu helper reports success, so re-invokingwait-and-deliveron a delivered session is a safe no-op.
No sessions_spawn, no subagent model-speech contract, no HTTP
notification callback, no stale routing fields. Delivery is a direct
HTTP call using stable per-user identifiers (open_id / chat_id)
that never go stale the way the old account_id did.
Multi-channel support is a follow-up: adding Discord / Slack / WeChat
means dropping a new <channel>_send_video.py helper next to
feishu_send_video.py and adding one branch in _deliver_results.
Requirements
- Python 3.8+
apiKeyconfigured in~/.nexu/libtv.json- default
videoRatioconfigured in~/.nexu/libtv.jsonor implicit default16:9 mgk_...keys targethttps://seedance.nexu.io/sk-libtv-...keys targethttps://im.liblib.tv
What ships with it
2 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.
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 · 316 lines · 100 tokens per session scan A cfeaa38bbf25
libtv-video is a skill published in the GitHub repository nexu-io/nexu (3,265 stars, last pushed 4mo ago), licensed MIT. It adds 100 tokens to every session and 3,481 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
clip-hand-skill
Expert knowledge for AI video clipping — yt-dlp downloading, whisper transcription, SRT generation, and ffmpeg processing.
presentation
Presentation expert for slide structure, storytelling, visual design, and audience engagement.
hatch-pet
Create, repair, validate, preview, and package Codex-compatible animated pet spritesheets from character art, screenshots, generated images, or visual references. Use when a user wants to hatch a Codex pet, create a custom animated pet, or build a built-in pet asset with an 8x9 atlas, transparent unused cells…
magazine-web-ppt
For marketing and gtm work: bind launches, campaigns, events, and brand plans to growth and pipeline outcomes. Built around the core query "annual-marketing-plan", with GTM strategy lead judgment, buyer-ready proof, and this outcome: approve launch plan, campaign budget, or GTM motion.
ve-midnight-editorial
OpenDesign's financial review: runway, burn, and the sustainability plan that keeps the project independent. Built as a decision-grade data & finance deck for board, leadership.
html-ppt-zhangzara-8-bit-orbit
A gamer's journey building a retro-arcade collection — the obsession, the hunt, and what the machines came to mean. Built as a decision-grade story deck for friends, hobby community.