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-opencli-text2imagegit 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-opencli-text2image)<a href="https://agentmods.dev/skills/full-aigc-skills/jimeng-skills/jimeng-opencli-text2image"><img src="https://agentmods.dev/badge/skills/full-aigc-skills/jimeng-skills/jimeng-opencli-text2image/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-opencli-text2image"><img src="https://agentmods.dev/badge/skills/full-aigc-skills/jimeng-skills/jimeng-opencli-text2image.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 | $0.00093 | $0.01243 |
| Opus 5 | $0.00046 | $0.00622 |
| Sonnet 5 | $0.00019 | $0.00249 |
| Haiku 4.5 | $0.00009 | $0.00124 |
Grade A, and why
jimeng-opencli-text2image 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.
How it starts
The opening of the file, as written. The whole thing — 86 lines — stays where its author put it; the contents beside it link to each section on GitHub.
jimeng-opencli-text2image — 即梦文生图（opencli / 普通会员）
面向未开通 dreamina CLI / 高级会员、仅能用即梦网页普通会员能力的用户。本技能只允许调用 opencli jimeng 子命令，禁止调用 dreamina 或 jimeng-cli-* 执行类技能。
提示词由 jimeng-prompt-text2image 产出；本技能只负责 opencli 执行与会话管理。
opencli jimeng 命令清单
| 子命令 | 作用 | 关键参数 / 输出 |
|---|---|---|
generate <prompt> |
文生图 | --model、--wait、--workspace；列 status、media_type、media_count、media_urls |
generate-image2image <prompt> |
图生图 | 必填 --images（逗号分隔路径，最多 10 张） |
history |
最近作品 | --limit、--workspace、--type；列 history_id、media_type、media_url 等 |
new |
新建 workspace | --type；列 workspace_id、workspace_url、type |
workspaces |
工作区列表 | 列 workspace_id、name、is_pinned、updated_at |
user_credit |
积分余额 | 列 balance、vip_credit、gift_credit、purchase_credit |
user_subscription |
会员信息 | 列 cur_vip_level、subscribe_type、end_time 等 |
user_assets |
资产库各 Tab | --tab、--wait；列 tab、item_count、request_url |
通用选项（各子命令）：-f/--format（table、plain、json 等）、-v/--verbose。策略：Cookie + Browser，域名 jimeng.jianying.com。
前置条件
- 已安装
opencli，且opencli jimeng -h可列出上述四条子命令。 - Chrome 已登录即梦，并安装 Browser Bridge（与 opencli 文档一致）。
- 执行前用
opencli jimeng history --limit 1或浏览器打开即梦，确认未掉线。
核心流程
1. PROMPT → jimeng-prompt-text2image 定稿并获用户确认
2. GEN → opencli jimeng generate "<prompt>" [--model ...] [--wait ...]
3. CHECK → 解析 status；timeout 时加大 --wait 或 history 对照
4. ORG → 可选 new / workspaces 管理会话
generate 用法
opencli jimeng generate "一只在星空下的猫"
opencli jimeng generate "赛博朋克城市夜景" --model high_aes_general_v50 --wait 60
opencli jimeng generate "水墨山水" --format json
| 参数 | 说明 |
|---|---|
prompt |
位置参数，必填 |
--model |
默认 high_aes_general_v50；可选 high_aes_general_v42（4.6）、high_aes_general_v40（4.0） |
--wait |
等待出图秒数，默认 40 |
status 为 success 时从 media_urls 取链接；timeout 时增加 --wait 或查 history；failed 时提示检查登录、积分（user_credit）或网页合规弹窗。
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.
- 11d ago First seen · 86 lines · 93 tokens per session scan A 1826691172c7
jimeng-opencli-text2image 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 93 tokens to every session and 1,243 once invoked, about $0.0005 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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