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 QinghongLin/data2story-skill --skill openrouter-image2videogit clone --depth 1 https://github.com/QinghongLin/data2story-skillWrote 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/qinghonglin/data2story-skill/openrouter-image2video)<a href="https://agentmods.dev/skills/qinghonglin/data2story-skill/openrouter-image2video"><img src="https://agentmods.dev/badge/skills/qinghonglin/data2story-skill/openrouter-image2video/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/qinghonglin/data2story-skill/openrouter-image2video"><img src="https://agentmods.dev/badge/skills/qinghonglin/data2story-skill/openrouter-image2video.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00030 | $0.00984 |
| Opus 5.5 | $0.00012 | $0.00394 |
| Sonnet 5.5 | $0.00006 | $0.00197 |
| Haiku 4.5 | $0.00003 | $0.00098 |
Grade A, and why
openrouter-image2video 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 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.
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 — 82 lines — stays where its author put it; the contents beside it link to each section on GitHub.
openrouter-image2video
Image + motion-prompt → video via OpenRouter. Default model: google/veo-3.1-fast.
Use this when you already have a strong still image and want to bring it to life with subtle motion (camera pan, parallax, gentle animation) while preserving the composition. For motion-from-scratch, use openrouter-text2video instead.
The script accepts either a remote image URL or a local image path; local files are base64-encoded and inlined into the request as a data URL.
Usage
Resolve TOOL_DIR = the directory containing this SKILL.md. Commands below use TOOL_DIR as a symbolic placeholder; replace it with the resolved, quoted path before running Bash.
export OPENROUTER_API_KEY=sk-or-v1-...
# From a local image you already generated with text2image
python3 TOOL_DIR/scripts/generate_video_from_image.py \
--image PROJECT_DIR/assets/teaser.png \
--prompt "slow parallax push-in, soft drift of ambient particles, no camera shake" \
--duration 5 \
--aspect-ratio 16:9 \
--download PROJECT_DIR/assets/teaser.mp4
# Or from a remote URL
python3 TOOL_DIR/scripts/generate_video_from_image.py \
--image-url "https://example.com/still.png" \
--prompt "subtle camera dolly forward, gentle depth-of-field shift" \
--download PROJECT_DIR/assets/scene.mp4
Flags
| Flag | Default | Description |
|---|---|---|
--prompt |
required | Motion prompt — describe what should move and how |
--download |
required | Output MP4 path |
--image |
one of --image / --image-url required |
Local image path (PNG/JPG); will be base64-encoded |
--image-url |
one of --image / --image-url required |
Remote image URL |
--model |
google/veo-3.1-fast |
Any OpenRouter image-to-video-capable model |
--duration |
5 |
Seconds |
--aspect-ratio |
16:9 |
16:9, 9:16, 1:1, 4:3, 3:4, 21:9, 9:21 |
--resolution |
720p |
Model-dependent (e.g. 480p, 720p, 1080p) |
--frame-role |
first |
first or last — anchor frame role for the input image |
--generate-audio |
off | Generate audio with video (if model supports) |
--poll-interval |
5 |
Seconds between polls |
--max-wait |
600 |
Max total wait time |
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.
- 2mo ago First seen · 82 lines · 30 tokens per session scan A 884082219b10
openrouter-image2video is a skill published in the GitHub repository QinghongLin/data2story-skill (161 stars, last pushed 4mo ago), licensed MIT. It adds 30 tokens to every session and 984 once invoked, about $0.0001 per session on Opus 5.5. 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.
openrouter-image2video compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| openrouter-image2videoQinghongLin/data2story-skill | Skill | 161 | 4mo ago | MIT | A | 30 | Claude Code |
| chdb-sqlchdb-io/chdb | Skill | 2.9k | 6d ago | Apache-2.0 | A | 214 | Claude Code, Codex |
| waxchristopherkarani/Wax | Skill | 806 | 2d ago | Apache-2.0 | A | 76 | Codex |
| wax-memory-maintenancechristopherkarani/Wax | Skill | 806 | 2d ago | Apache-2.0 | A | 18 | Claude Code, Codex |
| alterlab-timesfmAlterLab-IEU/AlterLab-Academic-Skills | Skill | 85 | yesterday | MIT | A | 150 | Claude Code |
| alterlab-cobrapyAlterLab-IEU/AlterLab-Academic-Skills | Skill | 85 | yesterday | MIT | A | 91 | Claude Code |
| alterlab-molecular-dynamicsAlterLab-IEU/AlterLab-Academic-Skills | Skill | 85 | yesterday | MIT | A | 98 | Claude Code |