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-image2imagegit 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-image2image)<a href="https://agentmods.dev/skills/full-aigc-skills/jimeng-skills/jimeng-cli-image2image"><img src="https://agentmods.dev/badge/skills/full-aigc-skills/jimeng-skills/jimeng-cli-image2image/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-image2image"><img src="https://agentmods.dev/badge/skills/full-aigc-skills/jimeng-skills/jimeng-cli-image2image.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 | $0.00073 | $0.00953 |
| Opus 5 | $0.00036 | $0.00477 |
| Sonnet 5 | $0.00015 | $0.00191 |
| Haiku 4.5 | $0.00007 | $0.00095 |
Grade A, and why
jimeng-cli-image2image 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 图生图
执行前先运行 dreamina image2image -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
用于已有本地参考图、需要通过 CLI 编辑并跟踪结果的任务。不该用于文生图、视频生成或纯提示词润色；分别加载对应的执行或 prompt 技能。
必须遵守
--images接收 1–10 个本地文件，多个路径使用逗号分隔。- 每次提交显式传
--resolution_type=1k|2k|4k。 --width与--height必须成对出现、为正整数，并与--ratio互斥。- 仅
5.0Pro支持 1k；4.x/5.0 只支持 2k 或 4k。 - 模型 token 是
5.0Pro，不是5.0Pro。 generate_num范围为 1–10。
完整模型矩阵和像素限制见
dreamina-cli skill 的 references/dreamina-cli-v1.4.14-contract.md。
如未安装,请先 npx skills add full-aigc-skills/jimeng-skills --skill dreamina-cli。
标准执行
test -r ./input.png
dreamina user_credit
dreamina image2image \
--images=./input.png \
--prompt="保留主体与构图，转换为透明水彩风格" \
--model_version=5.0 \
--resolution_type=2k \
--ratio=1:1 \
--poll=0
自定义尺寸时省略 ratio：
dreamina image2image \
--images=./input.png \
--prompt="改造成竖版电商海报" \
--model_version=5.0 \
--resolution_type=2k \
--width=1536 \
--height=2048 \
--poll=0
异步闭环
Step 1：验证
逐个验证输入文件可读，并用 help 校验模型、分辨率、ratio 或自定义尺寸组合。
Step 2：提交
检查积分、说明消费影响、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，不要把 submit 成功当作生成成功。
Gotchas
- 文件数量：只允许 1–10 张可读本地图片。
- 分辨率遗漏：v1.4.14 必须传
resolution_type。 - 宽高冲突：width/height 成对且与 ratio 互斥。
- 1k 误用：只有
5.0Pro支持图生图 1k。 - 状态误判：
querying不是成功终态。
References
dreamina-cliskill 的 v1.4.14 参数契约(如未安装:npx skills add full-aigc-skills/jimeng-skills --skill dreamina-cli)- 参数参考
- 模型选择
- 工作流模式
- 示例
What ships with it
8 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.
- 11d ago First seen · 85 lines · 73 tokens per session scan A 5daa72c802ca
jimeng-cli-image2image 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 73 tokens to every session and 953 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 2026-08-31.
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