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 wu529778790/shenzjd-skills --skill freeimg-hunyuangit clone --depth 1 https://github.com/wu529778790/shenzjd-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/wu529778790/shenzjd-skills/freeimg-hunyuan)<a href="https://agentmods.dev/skills/wu529778790/shenzjd-skills/freeimg-hunyuan"><img src="https://agentmods.dev/badge/skills/wu529778790/shenzjd-skills/freeimg-hunyuan/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/wu529778790/shenzjd-skills/freeimg-hunyuan"><img src="https://agentmods.dev/badge/skills/wu529778790/shenzjd-skills/freeimg-hunyuan.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 | $0.00246 | $0.01840 |
| Opus 5.5 | $0.00098 | $0.00736 |
| Sonnet 5.5 | $0.00049 | $0.00368 |
| Haiku 4.5 | $0.00025 | $0.00184 |
Grade B, and why
freeimg-hunyuan scanned grade B with 1 finding 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 1mo 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.
Asks for rootmediumPrivilege escalation
A mod that escalates privileges can change anything on the machine, not only the project.
mkdir -p ~/.freeimg-hunyuan && printf "TCB_ENV_ID=你的环境ID\nTCB_SECRET_ID=你的SecretId\nTCB_SECRET_KEY=你的SecretKey\n" > ~/.freeimg-hunyuan/config.env && chmod 600 ~/.freeimg-hunyuan/config.env How it starts
The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
FreeImg Hunyuan — 腾讯混元生图（免费 10 万张额度）
调用腾讯云混元 3.0 生图模型（走 CloudBase AI 网关），支持文生图与垫图 （图生图）。完全免费，不花一分钱：额度来自微信「小程序成长计划」激励 资源包——10 万张 AI 生图 + 10 亿 Token，全行业开发者免费领取，6 个月有效， 额度烧在你自己云开发环境的资源包上。
可视化网页版 + 图文教程：freeimg.shenzjd.com/hunyuan —— 网页里有从领取资源包、创建密钥到出图的完整备注教程（Step 0 卡片式引导）， 不想配本地环境时在网页上填密钥即用，两者共用同一套腾讯云凭据。
When to Use
- User 明确要混元 / Hunyuan / 腾讯云出图，或需要垫图（参考图改图）
- User 走微信小程序生态、想用「小程序成长计划」激励资源包的10 万张免费生图额度
- User 已配置过腾讯云密钥并要求继续用混元
When NOT to Use:
- User 只想免费快速出图、零配置 → 用
freeimg-z-imageskill（z-image-turbo，免注册免领取） - User 不愿花几分钟领取免费资源包（虽然不领也不产生费用，但没有资源包时按量计费）
Core Pattern
Step 0: 首次使用 — 免费领取资源包并配置凭据
额度领取（免费，全行业开发者可领；网页版有同款图文教程卡片）：
-
领激励资源包：微信公众平台「行业能力 → 小程序成长计划」领取资源包 （10 万张 AI 生图 + 10 亿 Token，6 个月有效），点「去使用」创建一个 云开发环境，记下环境 ID——资源包就绑定在这个环境上
-
建密钥：腾讯云控制台 访问管理 → API 密钥管理 「新建密钥」，复制 SecretId 与 SecretKey
-
写配置（只需一次，不要把密钥写进仓库、日志或对话输出）：
mkdir -p ~/.freeimg-hunyuan && printf "TCB_ENV_ID=你的环境ID\nTCB_SECRET_ID=你的SecretId\nTCB_SECRET_KEY=你的SecretKey\n" > ~/.freeimg-hunyuan/config.env && chmod 600 ~/.freeimg-hunyuan/config.env
脚本按以下优先级读取凭据：环境变量 TCB_ENV_ID / TCB_SECRET_ID /
TCB_SECRET_KEY → 配置文件 ~/.freeimg-hunyuan/config.env。都没有时打印上述引导退出。
依赖说明：脚本用官方 @cloudbase/node-sdk（网关鉴权是自定义签名，不自行复刻），
首次运行自动装到 ~/.freeimg-hunyuan/sdk（需本机有 node + npm，十几秒），之后复用。
Step 1: 生成图片
# 文生图
scripts/generate.mjs --prompt "提示词" --out 输出.jpg [--size 1024x1024] [--no-revise] [--footnote "品牌名"]
# 垫图（图生图）：--image 接图片路径、base64 或 data URL
scripts/generate.mjs --prompt "提示词" --image 垫图.jpg --out 输出.jpg
--size：只支持1024x1024/1280x720/720x1280/2048x512（上游限制：宽高 [512,2048] 且面积 ≤ 1024x1024）--no-revise：关闭模型自动润色提示词（默认开启）--footnote：右下角水印文字 ≤16 字符；默认单个空格=无水印 （去水印的合规责任在使用方）- 提示词上限 4000 字，中文即可
- 429/5xx 已内置 2 秒重试一次；仍失败按错误提示处理
Step 2: 交付
- 生成后先查看图片（Read 工具）确认质量再交给用户；不满意换提示词重生成
- 返回的图片 URL 是签名地址会过期，脚本已立即下载落盘，只交付本地文件
- 垫图模式提示词写「保持构图，把 ×× 换成 ××」这类改图指令效果更好
What ships with it
2 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.
- 1mo ago First seen · 97 lines · 246 tokens per session scan B 68d2b503e0b1
freeimg-hunyuan is a skill published in the GitHub repository wu529778790/shenzjd-skills (3 stars, last pushed 28d ago), licensed MIT. It adds 246 tokens to every session and 1,840 once invoked, about $0.0010 per session on Opus 5.5. A static security scan graded it B with 1 finding (asks for root). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-16.
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limboai
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physics-system
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