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 meitu/meitu-skills --skill image-to-videogit clone --depth 1 https://github.com/meitu/meitu-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/meitu/meitu-skills/image-to-video)<a href="https://agentmods.dev/skills/meitu/meitu-skills/image-to-video"><img src="https://agentmods.dev/badge/skills/meitu/meitu-skills/image-to-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/meitu/meitu-skills/image-to-video"><img src="https://agentmods.dev/badge/skills/meitu/meitu-skills/image-to-video.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 5 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 Privilege Escalation · line 5 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 9 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 11 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 17 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- medium Rogue Agent · line 21 Skill establishes unauthorized persistence across sessions via cron jobs, startup scripts, or state files. Session persistence allows an attacker to maintain access beyond the current interaction.Fix: Remove any persistence mechanisms (cron jobs, startup scripts, state files). Skills should not maintain state across sessions without explicit user consent.
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 | $0.00087 | $0.02203 |
| Opus 5 | $0.00044 | $0.01102 |
| Sonnet 5 | $0.00017 | $0.00441 |
| Haiku 4.5 | $0.00009 | $0.00220 |
Grade A, and why
image-to-video 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 — 149 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Image to Video
Overview
以图片为驱动生成动态视频。3 类场景：单图生成视频（支持音频/比例/分辨率，默认 toffee 失败兜底 bonbon）、多图参考融合（1–9 图）、首尾帧过渡（1–2 图）。时长 4–15s。
API Mapping
- 单图默认：
video_toffee_i2v_v20 - 单图兜底：
video_bonbon_img2vid_v30（支持智能分镜/多镜头，不支持 aspect_ratio） - 多图参考融合（1–9 图）：
video_toffee_mi2v_v20 - 首尾帧过渡（1–2 图）：
video_toffee_flf_v20 - mode 映射：
auto（默认）/i2v/mi2v/flf - model 映射：
auto（默认）/toffee/bonbon - mode 与 model 同时指定且冲突时，mode 优先
Dependencies
- meitu-cli:
>=2.0.6 - 凭证：CONFIG AKSK →
meitu tools update；EXEC AKSK → 实际执行（见根CONFIG.md） - 环境变量：
MEITU_OPENAPI_TOOL_TASK_MODE=command
路径别名：
$VISUAL={OPENCLAW_HOME}/workspace/visual/
Core Workflow
Preflight → Execute → Deliver
Preflight
meitu --version≥ 2.0.6- 已用 CONFIG AKSK 跑过
meitu tools update - 当前 AKSK = EXEC，
MEITU_OPENAPI_TOOL_TASK_MODE=command - output_dir：openclaw.yaml →
./output/｜else →$VISUAL/output/image-to-video/；mkdir -p
Execute
触发信号 / 路由规则
核心维度：mode（优先） → 图片数量 + 意图。
| 条件 | 图片数 | 路由 |
|---|---|---|
mode=i2v |
任意 | video_toffee_i2v_v20 → 失败兜底 video_bonbon_img2vid_v30 |
mode=mi2v |
任意 | video_toffee_mi2v_v20 |
mode=flf |
任意 | video_toffee_flf_v20 |
mode=auto，1 张，"参考元素/角色/风格" |
1 | video_toffee_mi2v_v20 |
mode=auto，1 张，其他（默认） |
1 | video_toffee_i2v_v20 → 兜底 video_bonbon_img2vid_v30 |
mode=auto，2 张，未说融合（默认） |
2 | video_toffee_flf_v20 |
mode=auto，2 张，说了融合/参考 |
2 | video_toffee_mi2v_v20 |
mode=auto，3–9 张 |
3–9 | video_toffee_mi2v_v20 |
参数定义（统一工具层）
| 参数 | 类型 | 必填 | 范围 | 默认 | 说明 |
|---|---|---|---|---|---|
image_list |
ARRAY[STRING] | 是 | 1–9 张 | -- | 输入图片 URL 列表 |
prompt |
STRING | 是 | -- | -- | 视频内容描述 |
mode |
STRING | 否 | auto / i2v / mi2v / flf | auto | 路由模式；与 model 冲突时 mode 优先 |
model |
STRING | 否 | auto / toffee / bonbon | auto | 底层模型 |
aspect_ratio |
STRING | 否 | adaptive/1:1/3:4/4:3/9:16/16:9/21:9 | adaptive | 画面比例（i2v/mi2v/flf 支持；bonbon 不支持） |
video_duration |
NUMBER | 否 | 4–15 | 5 | 时长（秒）。bonbon 默认 5；i2v/mi2v/flf 内部默认 10 |
sound |
STRING | 否 | off / on | off | 是否生成音频 |
multi_shot |
BOOLEAN | 否 | true/false | true | 多镜头切换（仅 bonbon 生效） |
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 · 149 lines · 87 tokens per session scan A 2d2a692941ff
image-to-video is a skill published in the GitHub repository meitu/meitu-skills (32 stars, last pushed 15d ago), licensed MIT. It adds 87 tokens to every session and 2,203 once invoked, about $0.0004 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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