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 linkprint/local-ai-movie-workspace --skill image-stylegit clone --depth 1 https://github.com/linkprint/local-ai-movie-workspaceWrote 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/linkprint/local-ai-movie-workspace/image-style)<a href="https://agentmods.dev/skills/linkprint/local-ai-movie-workspace/image-style"><img src="https://agentmods.dev/badge/skills/linkprint/local-ai-movie-workspace/image-style/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/linkprint/local-ai-movie-workspace/image-style"><img src="https://agentmods.dev/badge/skills/linkprint/local-ai-movie-workspace/image-style.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 | $0.00061 | $0.00309 |
| Opus 5.5 | $0.00024 | $0.00124 |
| Sonnet 5.5 | $0.00012 | $0.00062 |
| Haiku 4.5 | $0.00006 | $0.00031 |
Grade A, and why
image-style 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.
What it actually says
Image Style
Use only movie-ai; never contact ComfyUI, ai-task-server, a host, or a LAN address directly.
When the user has not selected a model, run movie-ai image style --list and present the returned prompt-only model names. Ask for the exact model and prompt before starting a real generation.
Run the approved request with:
movie-ai image style --model 'MODEL.safetensors' --prompt 'PROMPT'
The command waits for completion, downloads the JPEG into /outputs, computes its SHA-256, and returns the authenticated Portal url. Always return that URL to the user; /outputs is also the current project's Image Library source.
Use --width and --height only when requested; each must be 512 through 1536 and divisible by 64. --seed accepts a non-negative integer. Do not retry a failed job automatically.
The prompt-only list intentionally excludes svdq-fp4_r32-flux.1-kontext-dev.safetensors and flux-2-klein-4b-fp8.safetensors because those workflows require reference images.
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 · 23 lines · 61 tokens per session scan A a0ff15ef2e3f
image-style is a skill published in the GitHub repository linkprint/local-ai-movie-workspace (1 stars, last pushed 2mo ago), licensed MIT. It adds 61 tokens to every session and 309 once invoked, about $0.0002 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 2026-08-31.
image-style compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| image-stylelinkprint/local-ai-movie-workspace | Skill | 1 | 2mo ago | MIT | A | 61 | Codex |
| tape-opensenricoros/big-AGI | Skill | 7.2k | today | MIT | A | 60 | Claude Code |
| x-signal-agentomnara-ai/omnara | Skill | 3.4k | today | Apache-2.0 | A | 53 | Claude Code, Codex |
| agent-notesCherryHQ/cherry-studio | Skill | 53k | today | AGPL-3.0 | A | 51 | Claude Code, Codex |
| cherry-electron-devCherryHQ/cherry-studio | Skill | 53k | today | AGPL-3.0 | A | 68 | Claude Code, Codex |
| issue-reporterCherryHQ/cherry-studio | Skill | 53k | today | AGPL-3.0 | A | 35 | Claude Code |
| code-mate-antigravityCherryHQ/cherry-studio | Skill | 53k | today | AGPL-3.0 | A | 32 | Claude Code, Codex |