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 iamzhihuix/happy-claude-skills --skill happy-dreaminagit clone --depth 1 https://github.com/iamzhihuix/happy-claude-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/iamzhihuix/happy-claude-skills/happy-dreamina)<a href="https://agentmods.dev/skills/iamzhihuix/happy-claude-skills/happy-dreamina"><img src="https://agentmods.dev/badge/skills/iamzhihuix/happy-claude-skills/happy-dreamina/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/iamzhihuix/happy-claude-skills/happy-dreamina"><img src="https://agentmods.dev/badge/skills/iamzhihuix/happy-claude-skills/happy-dreamina.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 | $0.00176 | $0.01822 |
| Opus 5 | $0.00088 | $0.00911 |
| Sonnet 5 | $0.00035 | $0.00364 |
| Haiku 4.5 | $0.00018 | $0.00182 |
Grade C, and why
happy-dreamina scanned grade C with 2 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 13d 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.
Downloads and executes remote codehighSupply chain
curl | sh runs whatever the server returns today, which is not necessarily what it returned when this was reviewed.
curl -fsSL https://jimeng.jianying.com/cli | bash Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
curl -fsSL https://jimeng.jianying.com/cli | bash How it starts
The opening of the file, as written. The whole thing — 134 lines — stays where its author put it; the contents beside it link to each section on GitHub.
happy-dreamina
Generate images and videos through ByteDance's official dreamina CLI. This skill is a thin instruction layer — it does not wrap any SDK. Every action maps to a dreamina subcommand the user's shell already has.
When to invoke this skill
Use this skill whenever any of these hold:
- The user says 即梦, Jimeng, or Dreamina (any language).
- The user explicitly names the
dreaminaCLI or its subcommands. - The user asks about their Jimeng task history, account credit, or login status.
If the user just says "generate an image" or "画张图" without naming Jimeng, prefer happy-image-gen / happy-video-gen instead and do NOT trigger this skill. The reason is that Jimeng uses browser login and is one specific provider — other skills let the user pick from many providers via EXTEND.md defaults.
Step 0: Preflight (BLOCKING — run both checks before anything else)
Run these in parallel:
command -v dreamina— is the binary installed?dreamina user_credit— is the login alive? A healthy response is JSON containing credit info.
If dreamina is not installed
Tell the user the dreamina CLI is missing and offer to install it. The official installer is:
curl -fsSL https://jimeng.jianying.com/cli | bash
This is a shell install that writes to the user's machine — do not run it silently. Confirm, then run it, then re-check command -v dreamina. See references/install-and-login.md for platform notes (macOS, Linux x86_64/arm64). For any other platform (e.g. Windows) or when the installer changes, point the user at the official install page: https://jimeng.jianying.com/ai-tool/install.
If user_credit fails (exit non-zero, or JSON missing credit)
The user is not logged in, or the token expired. Ask them to run:
dreamina login
This opens the default browser for Jimeng authorization. Credentials land in ~/.dreamina_cli/credential.json automatically — the user never handles the file. If the browser does not open or the flow hangs, escalate to dreamina login --debug (see references/troubleshooting.md).
What ships with it
4 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.
- 13d ago First seen · 134 lines · 176 tokens per session scan C 95bae4b15b46
happy-dreamina is a skill published in the GitHub repository iamzhihuix/happy-claude-skills (306 stars, last pushed 4mo ago), licensed MIT. It adds 176 tokens to every session and 1,822 once invoked, about $0.0009 per session on Opus 5. A static security scan graded it C with 2 findings (downloads and executes remote code, makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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