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 dreamina-cligit 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/dreamina-cli)<a href="https://agentmods.dev/skills/full-aigc-skills/jimeng-skills/dreamina-cli"><img src="https://agentmods.dev/badge/skills/full-aigc-skills/jimeng-skills/dreamina-cli/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/dreamina-cli"><img src="https://agentmods.dev/badge/skills/full-aigc-skills/jimeng-skills/dreamina-cli.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 | $0.00068 | $0.01667 |
| Opus 5 | $0.00034 | $0.00834 |
| Sonnet 5 | $0.00014 | $0.00333 |
| Haiku 4.5 | $0.00007 | $0.00167 |
Grade A, and why
dreamina-cli 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 — 152 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dreamina CLI
Use this skill when you need Dreamina（即梦） image or video generation, login, session management, or task history work through dreamina.
即梦 is the Chinese product name of Dreamina. If the user says 即梦, treat it as Dreamina and use this skill.
This skill is intentionally short. Detailed flags and supported values belong to the CLI itself, so always treat dreamina -h and dreamina <subcommand> -h as the primary reference.
The reviewed v1.4.14 contract is recorded in references/dreamina-cli-v1.4.14-contract.md.
When to use and boundary
Use this umbrella skill when login, sessions, task history, async follow-up, or command routing spans multiple modalities. Do not use it as a replacement for the four execution skills' mode-specific workflow or for prompt-only authoring.
What this tool is for
dreamina is the local CLI entrypoint for all currently exposed Dreamina（即梦） image and video generation workflows, plus the account/session operations around them.
Use it for:
- checking or reusing an existing Dreamina login session
- checking account credit
- managing sessions with
dreamina session - clearing the local OAuth login state with
dreamina logout - submitting image generation tasks
- submitting video generation tasks
- querying async task results and downloading result media
- reviewing saved task history
Default workflow
When using this CLI as an agent:
Step 1：验证环境
Start with dreamina -h, then run dreamina <subcommand> -h before real use.
Step 2：完成认证与路由
Reuse login unless the user requests a login-state change. Route the task to the matching execution skill.
Step 3：提交与终态闭环
Warn about credit consumption, distinguish help inspection from real submit, and follow every accepted task until success or fail.
Validation
- Validate the installed CLI help against the reviewed contract before changing model or resolution assumptions.
- Validate local files before upload and preserve every returned
submit_id. - Validate terminal status from
query_result, not shell exit code alone.
What ships with it
5 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 · 152 lines · 68 tokens per session scan A b5b565d05c40
dreamina-cli 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 68 tokens to every session and 1,667 once invoked, about $0.0003 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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