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 full-aigc-skills/jimeng-skills --skill jimeng-cli-text2videogit clone --depth 1 https://github.com/full-aigc-skills/jimeng-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/full-aigc-skills/jimeng-skills/jimeng-cli-text2video)<a href="https://agentmods.dev/skills/full-aigc-skills/jimeng-skills/jimeng-cli-text2video"><img src="https://agentmods.dev/badge/skills/full-aigc-skills/jimeng-skills/jimeng-cli-text2video/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/full-aigc-skills/jimeng-skills/jimeng-cli-text2video"><img src="https://agentmods.dev/badge/skills/full-aigc-skills/jimeng-skills/jimeng-cli-text2video.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 | $0.00068 | $0.00895 |
| Opus 5 | $0.00034 | $0.00447 |
| Sonnet 5 | $0.00014 | $0.00179 |
| Haiku 4.5 | $0.00007 | $0.00089 |
Grade A, and why
jimeng-cli-text2video 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 11d 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
即梦 CLI 文生视频
执行前先运行 dreamina text2video -h。本技能记录 v1.4.14 稳定工作流；实际 help 始终是参数事实源。
When to use and boundary
用于无参考媒体的 CLI 文生视频提交、轮询和故障诊断。不该用于图生视频、故事板或单纯提示词创作；改用 jimeng-cli-image2video 或 prompt 技能。
必须遵守
- 每次提交显式传
--video_resolution，token 必须是小写720p、1080p或4k。 seedance2.0_vip支持 720p/1080p/4k；其他公开模型仅支持 720p。- 文生视频公开模型仅为 Seedance 2.0 家族，不要传旧 3.x 或 Seedance 1.x token。
- duration 范围 4–15 秒，默认模型
seedance2.0fast。 - 提交前说明会消耗积分；耗时场景优先异步提交。
标准执行
dreamina user_credit
dreamina text2video \
--prompt="镜头缓慢推进，一只橘猫在窗台伸懒腰，晨光穿过窗帘" \
--duration=5 \
--ratio=16:9 \
--model_version=seedance2.0fast \
--video_resolution=720p \
--poll=0
VIP 高分辨率：
dreamina text2video \
--prompt="航拍海岸线，浪花沿岩石展开，电影感长镜头" \
--duration=8 \
--ratio=16:9 \
--model_version=seedance2.0_vip \
--video_resolution=1080p \
--poll=0
异步闭环
Step 1：验证
运行 help，校验模型、duration、ratio 与分辨率组合。
Step 2：提交
检查积分、说明消费影响、异步提交并保存 submit_id。
Step 3：终态闭环
对 querying 持续调用 query_result，直到 success 或 fail。失败时报告
fail_reason。遇到 AigcComplianceConfirmationRequired 时提示用户先在 Web 端完成授权。
Gotchas
- 分辨率遗漏：每次都必须传
video_resolution。 - token 大小写：使用
720p/1080p，不是大写 P。 - 模型越界：文生视频不接受 Seedance 1.x 或旧 3.x。
- 高分辨率误用：1080p/4k 仅
seedance2.0_vip。 - 长任务误判：poll 超时仍为
querying时继续查询，不立即重提。
References
What ships with it
9 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.
- examples/async-generation.md 2.5 KB
- examples/basic-generation.md 2.5 KB
- examples/batch-generation.md 3.2 KB
- examples/session-workflow.md 2.5 KB
- LICENSE.txt 11 KB
- references/model-guide.md 475 B
- references/official-doc-vip-guide.md 381 B
- references/parameter-reference.md 634 B
- references/workflow-patterns.md 4.5 KB
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.
- 11d ago First seen · 79 lines · 68 tokens per session scan A e31f1e57458d
jimeng-cli-text2video is a skill published in the GitHub repository full-aigc-skills/jimeng-skills (3 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 68 tokens to every session and 895 once invoked, about $0.0003 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 2026-08-31.
Other skills, from other repositories
webgl-holographic-foil
A self-contained WebGL2 hero: thin-film interference over a crushed-foil surface whose palette shifts with the viewing angle; move the cursor to tilt the film.
general-video
Author or edit a custom HyperFrames composition when no specialized workflow fits, or when BRIEF.md sets flow: companion. Use for longer or multi-scene pieces, brand and sizzle reels, montages, static loops, static title cards, footage remixes, and freeform builds. Use motion-graphics instead for a short unnarrated…
html-ppt-hermes-cyber-terminal
OpenDesign + BYOK: choosing and wiring your own model, hands-on — cost, quality, and the routing decision. Built as a decision-grade AI literacy deck for engineers, IT, applied-AI teams.
html-ppt-taste-brutalist
16:9 HTML deck in tactical-telemetry / CRT-terminal taste. Deactivated-CRT charcoal slides, white-phosphor monospace, hazard-red accent, scanline overlay, ASCII syntax, density over decoration. Distilled from Leonxlnx/taste-skill brutalist-skill (Tactical Telemetry mode).
chengfeng-check-updates
An environment manager for a video-editing system. It checks whether its skills and runtime—the software needed to run them—are installed and compatible.
diagnostic-stem-delivery
Audio production with diagnostic analysis, timecode parsing from documents, and verified export workflow.