Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/calesthio/generative-media-skillsnpx agentmods add skills/calesthio/generative-media-skills/tencent-hunyuanvideoWrote 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/calesthio/generative-media-skills/tencent-hunyuanvideo)<a href="https://agentmods.dev/skills/calesthio/generative-media-skills/tencent-hunyuanvideo"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/tencent-hunyuanvideo/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/calesthio/generative-media-skills/tencent-hunyuanvideo"><img src="https://agentmods.dev/badge/skills/calesthio/generative-media-skills/tencent-hunyuanvideo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
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 →
- medium Excessive Agency · line 342 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00077 | $0.07370 |
| Opus 5.5 | $0.00031 | $0.02948 |
| Sonnet 5.5 | $0.00015 | $0.01474 |
| Haiku 4.5 | $0.00008 | $0.00737 |
Grade A, and why
tencent-hunyuanvideo scanned grade A with 2 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
from urllib.error import HTTPError, URLError Runs shell commandslowCapability
Expected in a hook, worth knowing in a rule or an instructions file.
subprocess.run(["ffprobe","-v","error","-show_streams","-show_format",str(part)], check=True) How it starts
The opening of the file, as written. The whole thing — 393 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tencent HunyuanVideo
Separate every request into one of three contracts before taking action:
- TokenHub
hy-video-1.5— current managed Tencent Cloud T2V/I2V interface for new integrations. - Legacy Tencent Cloud
vclmAPI 3.0 — older TC3-signedSubmitHunyuanToVideoJobsurface retained for existing customers while sales and model capabilities migrate to TokenHub. - HunyuanVideo-1.5 open weights — the official 8.3B local T2V/I2V repository, checkpoints, dependencies, infrastructure, and community license.
Do not infer that the managed model is byte-identical to a public checkpoint. Do not apply the open-weight license to cloud output, or Tencent Cloud terms to downloaded weights.
Gate execution first
Before a paid request, asset upload, model download, environment installation, or training job:
- State the surface, exact model/action or checkpoint family, region/territory, mode, input, target resolution/duration, audio plan, disclosure, estimated charge or infrastructure footprint, output paths, and QA gates.
- Require explicit approval. For hosted work require a monetary cap; for local work require approved disk/network/GPU scope and license acceptance.
- Default every supplied example to plan-only. Never silently enable postpaid billing, purchase credits/concurrency, download the roughly 372 GB current model repository, or contact a prompt-rewrite service.
- Persist provider request/job IDs or local revision hashes before long-running work. A submit timeout with no job ID is an unknown state; do not blindly resubmit because neither hosted surface documents an idempotency key.
Choose the correct family
| Family | Purpose | Key boundary |
|---|---|---|
| TokenHub HY-Video-1.5 | Managed text or image to 5 s video | Custom /v1/api/video/submit and /query; model hy-video-1.5; current action schema exposes only 720p |
Legacy vclm Hunyuan |
Existing Tencent Cloud integration | TC3-HMAC-SHA256, API version 2024-05-23, region ap-guangzhou, action names rather than a model field |
| HunyuanVideo-1.5 | Current lightweight local foundation model | 8.3B; 480p/720p base generation; separate SR to 720p/1080p; T2V/I2V |
| HunyuanVideo (original) | Legacy local 13B foundation model | Separate checkpoints/code; approximately 45 GB VRAM at 544×960×129f and 60 GB at 720×1280×129f in official tests |
| HunyuanVideo-Avatar | Audio-driven human animation | Separate repository/model; not an audio switch on HunyuanVideo-1.5 |
| HunyuanCustom | Subject customization and separate image/audio/video-conditioned workflows | Separate repository/checkpoints and license review |
| HunyuanVideo-Foley | Generate synchronized audio from video/text | Separate video-to-audio model; it does not generate picture |
What ships with it
1 file 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.
- 2mo ago First seen · 393 lines · 77 tokens per session scan A 9210731cba55
tencent-hunyuanvideo is a skill published in the GitHub repository calesthio/generative-media-skills (228 stars, last pushed 3mo ago), licensed MIT. It adds 77 tokens to every session and 7,370 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 2 findings (makes network calls, runs shell commands). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
Tencent Cloud Infra
A command-line guide for managing Tencent Cloud services, including servers, networks, domains, certificates, storage, permissions, and monitoring. Tencent Cloud is a cloud provider, and tccli is its command-line tool.
tcapi
A helper for managing Tencent Cloud resources through Tencent Cloud's command-line API tool. Tencent Cloud is a cloud-services provider offering products such as virtual servers, storage, networks, and containers.
artifact-deploy
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remote-crew-microvm
Drive the AWS Lambda MicroVM remote-crew lane: check whether it is configured, hand the operator the cloud.json block when it is not, launch a crew, reach it, and tear it down. Use for microvm, lambda microvm, remote crew, cheap cloud crew.
vigilante-issue-implementation-on-terraform
Implement a GitHub issue end-to-end when Vigilante dispatches work for a Terraform repository with fmt, validate, and secret-safe infrastructure guidance.
vercel-deploy
Deploy applications and websites to Vercel. Use this skill when the user requests deployment actions such as "Deploy my app", "Deploy this to production", "Create a preview deployment", "Deploy and give me the link", or "Push this live". No authentication required - returns preview URL and claimable deployment link.