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 ddcat-ai/open-ai-canvas --skill asset-aware-generationgit clone --depth 1 https://github.com/ddcat-ai/open-ai-canvasWrote 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/ddcat-ai/open-ai-canvas/asset-aware-generation)<a href="https://agentmods.dev/skills/ddcat-ai/open-ai-canvas/asset-aware-generation"><img src="https://agentmods.dev/badge/skills/ddcat-ai/open-ai-canvas/asset-aware-generation/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/ddcat-ai/open-ai-canvas/asset-aware-generation"><img src="https://agentmods.dev/badge/skills/ddcat-ai/open-ai-canvas/asset-aware-generation.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 | $0.00043 | $0.00263 |
| Opus 5 | $0.00022 | $0.00131 |
| Sonnet 5 | $0.00009 | $0.00053 |
| Haiku 4.5 | $0.00004 | $0.00026 |
Grade A, and why
asset-aware-generation 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.
What it actually says
资源感知生成
- 用
canvas_get_context读取已有提示词、工作流和资产引用。 - 用
canvas_get_resources或canvas_find_nodes({resourceOnly:true})找到可复用的真实参考节点。 - 生成前检查资源
ready、status、mimeType、尺寸/时长和资产/版本引用；未就绪资源不能作为参考。 - 复用真实
referenceNodeIds，不要重复上传同一素材，也不要只在 prompt 里写一个无法定位的资源名称。 - 通过
canvas_create_generation_flow或对应canvas_generate_*工具创建清晰的提示词节点、参考节点和目标节点关系。 - 返回结果后确认目标节点、连线和任务状态；生成任务未完成时不要声称成片已完成。
生成任务必须走影策共享 GenerationTask；不要直接调用 provider、模拟点击或把密钥放进 URL。
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 · 16 lines · 43 tokens per session scan A 4638ed71bd11
asset-aware-generation is a skill published in the GitHub repository ddcat-ai/open-ai-canvas (862 stars, last pushed yesterday), licensed MIT. It adds 43 tokens to every session and 263 once invoked, about $0.0002 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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