Foundation Models On Device
affaan-m/ECC
Apple FoundationModels framework for on-device LLM — text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.
萤石设备配置技能。支持 9 个设备配置 API,包括布防/撤防、镜头遮蔽、全天录像、移动侦测灵敏度等. An agent skill from LeoYeAI/openclaw-master-skills.
$ npx skills add LeoYeAI/openclaw-master-skills --skill ezviz-device-config -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills ezviz-device-config --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/hsa-test4 .claude/skills/ezviz-device-config && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "ezviz-device-config" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/hsa-test4 into .claude/skills/ezviz-device-config/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ezviz-device-config", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/hsa-test4Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add LeoYeAI/openclaw-master-skills --skill ezviz-device-config -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills ezviz-device-config --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/hsa-test4 .agents/skills/ezviz-device-config && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "ezviz-device-config" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/hsa-test4 into .agents/skills/ezviz-device-config/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ezviz-device-config", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoYeAI/openclaw-master-skills --skill ezviz-device-config -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills ezviz-device-config --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/hsa-test4 .cursor/skills/ezviz-device-config && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "ezviz-device-config" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/hsa-test4 into .cursor/skills/ezviz-device-config/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ezviz-device-config", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/LeoYeAI/openclaw-master-skills.git --path skills/hsa-test4--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add LeoYeAI/openclaw-master-skills --skill ezviz-device-config -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills ezviz-device-config --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/hsa-test4 .gemini/skills/ezviz-device-config && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "ezviz-device-config" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/hsa-test4 into .gemini/skills/ezviz-device-config/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ezviz-device-config", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install LeoYeAI/openclaw-master-skills ezviz-device-configInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add LeoYeAI/openclaw-master-skills --skill ezviz-device-config -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/hsa-test4 .github/skills/ezviz-device-config && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "ezviz-device-config" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/hsa-test4 into .github/skills/ezviz-device-config/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ezviz-device-config", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add LeoYeAI/openclaw-master-skills --skill ezviz-device-config -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install LeoYeAI/openclaw-master-skills ezviz-device-config --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/hsa-test4 .opencode/skills/ezviz-device-config && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "ezviz-device-config" agent skill from https://github.com/LeoYeAI/openclaw-master-skills/tree/main/skills/hsa-test4 into .opencode/skills/ezviz-device-config/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "ezviz-device-config", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
ezviz-device-config萤石设备配置技能。支持 9 个设备配置 API,包括布防/撤防、镜头遮蔽、全天录像、移动侦测灵敏度等. An agent skill from LeoYeAI/openclaw-master-skills.
Ezviz Device Config is an agent skill from LeoYeAI/openclaw-master-skills. 萤石设备配置技能。支持 9 个设备配置 API,包括布防/撤防、镜头遮蔽、全天录像、移动侦测灵敏度等。 Use when: 需要远程配置萤石设备参数、修改设备布防状态、调整设备功能开关。 ⚠️ 安全要求:必须设置 EZVIZAPPKEY 和 EZVIZAPPSECRET 环境变量,使用最小权限凭证。
Its SKILL.md is about 3.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 7 other files, including scripts and reference files (for example `_meta.json`, `lib/token_manager.py` and `references/api-mapping.md`).
The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.
5 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit e5199b5. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Ships 1 file in scripts/ (Python), which the agent can run.
Shell commands in SKILL.md call:
python3curlpipFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
openai.ys7.comopen.ys7.comFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
EZVIZ_APP_KEYEZVIZ_APP_SECRETEZVIZ_ACCESS_TOKENFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Ezviz Device Config loads about 3.9k tokens when it runs, and up to ~4.5k if it reads all its reference files. Until then it costs about 44 tokens; SKILL.md has 713 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
# 推荐:使用 .env 文件(不要提交到版本控制)echo "EZVIZ_APP_KEY=your_key" >> .envecho "EZVIZ_APP_SECRET=your_secret" >> .envchmod 600 .envsource .envAutomated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.
The full file from LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 713 words, ~3,948 tokens.
.claude/skills/ezviz-device-config/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.远程配置萤石设备参数,支持 9 个配置 API。
在使用此技能前,请完成以下安全检查:
| # | 检查项 | 状态 | 说明 |
|---|---|---|---|
| 1 | 凭证权限 | ⚠️ 必需 | 使用最小权限的 AppKey/AppSecret,不要用主账号凭证 |
| 2 | 配置文件读取 | ⚠️ 注意 | 技能会读取 ~/.openclaw/*.json 文件(但环境变量优先级更高) |
| 3 | Token 缓存 | ⚠️ 注意 | Token 缓存在 /tmp/ezviz_global_token_cache/ (权限 600) |
| 4 | API 域名 | ✅ 已验证 | openai.ys7.com 是萤石官方 API 端点(openai = Open API,不是 AI) |
| 5 | 代码审查 | ✅ 推荐 | 审查 scripts/device_config.py 和 lib/token_manager.py |
凭证获取优先级(从高到低):
┌─────────────────────────────────────────────────────────────┐
│ 1. 环境变量 (最高优先级 - 推荐) │
│ ├─ EZVIZ_APP_KEY │
│ ├─ EZVIZ_APP_SECRET │
│ └─ EZVIZ_DEVICE_SERIAL │
│ ✅ 优点:不读取配置文件,完全隔离 │
├─────────────────────────────────────────────────────────────┤
│ 2. OpenClaw 配置文件 (仅当环境变量未设置时使用) │
│ ├─ ~/.openclaw/config.json │
│ ├─ ~/.openclaw/gateway/config.json │
│ └─ ~/.openclaw/channels.json │
│ ⚠️ 注意:只读取 channels.ezviz 字段,不读取其他服务凭证 │
├─────────────────────────────────────────────────────────────┤
│ 3. 命令行参数 (最低优先级) │
│ python3 device_config.py appKey appSecret deviceSerial │
└─────────────────────────────────────────────────────────────┘安全建议:
# 1. 使用环境变量(优先级最高,避免配置文件意外使用)
export EZVIZ_APP_KEY="your_dedicated_app_key"
export EZVIZ_APP_SECRET="your_dedicated_app_secret"
export EZVIZ_DEVICE_SERIAL="dev1"
# 2. 高安全环境:禁用 Token 缓存
export EZVIZ_TOKEN_CACHE=0
# 3. 测试凭证(推荐先用测试账号)
# 登录 https://openai.ys7.com/ 创建专用应用,仅开通设备配置相关权限技能按以下顺序获取凭证(优先级从高到低):
EZVIZ_APP_KEY, EZVIZ_APP_SECRET) ← 推荐~/.openclaw/config.json 等)pip install requestsexport EZVIZ_APP_KEY="your_app_key"
export EZVIZ_APP_SECRET="your_app_secret"
export EZVIZ_DEVICE_SERIAL="dev1"可选环境变量:
export EZVIZ_CHANNEL_NO="1" # 通道号,默认 1
export EZVIZ_TOKEN_CACHE="1" # Token 缓存:1=启用 (默认), 0=禁用Token 缓存说明:
EZVIZ_TOKEN_CACHE=0 每次重新获取 Token/tmp/ezviz_global_token_cache/global_token_cache.json注意:
EZVIZ_ACCESS_TOKEN!技能会自动获取 Tokenpython3 {baseDir}/scripts/device_config.py命令行参数:
# 设置布防 (isDefence=1)
python3 {baseDir}/scripts/device_config.py appKey appSecret dev1 defence_set 1
# 设置撤防 (isDefence=0)
python3 {baseDir}/scripts/device_config.py appKey appSecret dev1 defence_set 0
# 获取布防计划
python3 {baseDir}/scripts/device_config.py appKey appSecret dev1 defence_plan_get
# 设置布防计划
python3 {baseDir}/scripts/device_config.py appKey appSecret dev1 defence_plan_set '{"startTime":"23:00","stopTime":"07:00","period":"0,1,2,3,4,5,6","enable":1}'
# 设置镜头遮蔽 (enable=1)
python3 {baseDir}/scripts/device_config.py appKey appSecret dev1 shelter_set 1
# 获取镜头遮蔽状态
python3 {baseDir}/scripts/device_config.py appKey appSecret dev1 shelter_get
# 设置移动侦测灵敏度 (0-6)
python3 {baseDir}/scripts/device_config.py appKey appSecret dev1 motion_detect_sensitivity_set 5技能支持从 OpenClaw 的 channels 配置中自动读取萤石凭证,无需单独设置环境变量。
在 ~/.openclaw/config.json 或 ~/.openclaw/channels.json 中添加:
{
"channels": {
"ezviz": {
"appId": "your_app_id",
"appSecret": "your_app_secret",
"domain": "https://openai.ys7.com",
"enabled": true
}
}
}技能会按以下顺序查找配置文件:
~/.openclaw/config.json~/.openclaw/gateway/config.json~/.openclaw/channels.json凭证获取优先级:
EZVIZ_APP_KEYEZVIZ_APP_SECRETchannels.ezviz.appIdchannels.ezviz.appSecret1. 获取 Token (appKey + appSecret → accessToken)
↓
2. 执行配置 (根据 configType 调用对应 API)
↓
3. 输出结果 (JSON + 控制台)你不需要手动获取或配置 EZVIZ_ACCESS_TOKEN!
技能会自动处理 Token 的获取:
首次运行:
appKey + appSecret → 调用萤石 API → 获取 accessToken (有效期 7 天)
↓
保存到缓存文件(系统临时目录)
↓
后续运行:
检查缓存 Token 是否过期
├─ 未过期 → 直接使用缓存 Token ✅
└─ 已过期 → 重新获取新 TokenToken 管理特性:
EZVIZ_ACCESS_TOKEN 环境变量EZVIZ_TOKEN_CACHE=0 可禁用缓存(每次运行重新获取)======================================================================
Ezviz Device Config (萤石设备配置)
======================================================================
[Time] 2026-03-18 21:00:00
[INFO] Device: dev1
[INFO] Config Type: defence_set
[INFO] Value: 1
======================================================================
SECURITY VALIDATION
======================================================================
[OK] Device serial format validated
[OK] Using credentials from environment variables
======================================================================
[Step 1] Getting access token...
======================================================================
[INFO] Using cached global token, expires: 2026-03-25 19:21:16
[SUCCESS] Using cached token, expires: 2026-03-25 19:21:16
======================================================================
[Step 2] Executing config...
======================================================================
[INFO] Calling API: https://openai.ys7.com/api/lapp/device/defence/set
[INFO] Device: dev1, Type: defence_set
[INFO] Value: 1
[SUCCESS] Config executed successfully!
======================================================================
CONFIG RESULT
======================================================================
Device: dev1
Type: defence_set
Value: 1 (armed)
Status: success
======================================================================| 配置类型 | 功能 | 文档 ID | API 路径 | 参数 |
|---|---|---|---|---|
defence_set | 设置布撤防 | 701 | /api/lapp/device/defence/set | isDefence: 0/1/8/16 |
defence_plan_get | 获取布撤防时间计划 | 702 | /api/lapp/device/defence/plan/get | channelNo(可选) |
defence_plan_set | 设置布撤防计划 | 703 | /api/lapp/device/defence/plan/set | startTime,stopTime,period,enable |
shelter_get | 获取镜头遮蔽开关状态 | 706 | /api/lapp/device/scene/switch/status | - |
shelter_set | 设置镜头遮蔽开关 | 707 | /api/lapp/device/scene/switch/set | enable: 0/1 |
fullday_record_get | 获取全天录像开关状态 | 712 | /api/lapp/device/fullday/record/switch/status | - |
fullday_record_set | 设置全天录像开关状态 | 713 | /api/lapp/device/fullday/record/switch/set | enable: 0/1 |
motion_detect_sensitivity_get | 获取移动侦测灵敏度配置 | 714 | /api/lapp/device/algorithm/config/get | - |
motion_detect_sensitivity_set | 设置移动侦测灵敏度配置 | 715 | /api/lapp/device/algorithm/config/set | value: 0-6 |
| 接口 | URL | 文档 |
|---|---|---|
| 获取 Token | POST /api/lapp/token/get | https://openai.ys7.com/help/81 |
| 设置布防 | POST /api/lapp/device/defence/set | https://openai.ys7.com/help/701 |
| 获取布防计划 | POST /api/lapp/device/defence/plan/get | https://openai.ys7.com/help/702 |
| 镜头遮蔽 | POST /api/lapp/device/scene/switch/set | https://openai.ys7.com/help/707 |
| 全天录像 | POST /api/lapp/device/fullday/record/switch/set | https://openai.ys7.com/help/713 |
| 移动侦测灵敏度 | POST /api/lapp/device/algorithm/config/set | https://openai.ys7.com/help/715 |
| 域名 | 用途 |
|---|---|
openai.ys7.com | 萤石开放平台 API(Token、设备配置) |
布防状态值 (defence_set):
0 - 撤防/睡眠1 - 布防 (普通 IPC)8 - 在家模式 (智能设备)16 - 外出模式 (智能设备)开关值 (enable):
0 - 关闭1 - 开启布防计划参数 (defence_plan_set):
startTime: 开始时间 (HH:mm 格式,如 23:20)stopTime: 结束时间 (HH:mm 格式,n00:00 表示第二天 0 点)period: 周期 (0-6 表示周一 - 周日,逗号分隔,如 "0,1,6")enable: 是否启用 (1-启用,0-不启用)移动侦测灵敏度 (motion_detect_sensitivity_set):
0-6: 灵敏度级别 (0 最低,6 最高)错误码:
200 - 操作成功10002 - accessToken 过期20007 - 设备不在线20008 - 设备响应超时60020 - 不支持该命令 (设备不支持此功能)⚠️ 设备支持: 不是所有设备都支持全部 9 个功能,请先确认设备能力
⚠️ 权限要求: 需要设备配置权限,子账户需要 Permission: Config
⚠️ 操作谨慎: 修改设备配置可能影响设备正常运行,请谨慎操作
⚠️ Token 安全: Token 会缓存到系统临时目录(自动管理),不写入日志,不发送到非萤石端点
本技能会向第三方服务发送数据:
| 数据类型 | 发送到 | 用途 | 是否必需 |
|---|---|---|---|
| appKey/appSecret | openai.ys7.com (萤石) | 获取访问 Token | ✅ 必需 |
| 设备序列号 | openai.ys7.com (萤石) | 设备配置请求 | ✅ 必需 |
| 配置参数 | openai.ys7.com (萤石) | 配置设备参数 | ✅ 必需 |
| EZVIZ_ACCESS_TOKEN | 自动生成 | 每次运行自动获取 | ✅ 自动 |
数据流出说明:
openai.ys7.com): Token 请求、设备配置 - 萤石官方 API凭证权限建议:
本地处理:
/tmp/ezviz_global_token_cache/),权限 600EZVIZ_TOKEN_CACHE=0 环境变量| 场景 | 配置类型 | 说明 |
|---|---|---|
| 🏠 离家布防 | defence_set = 1 | 外出时开启设备布防 |
| 🏡 回家撤防 | defence_set = 0 | 回家时关闭布防 |
| 📅 查询布防计划 | defence_plan_get | 查看布撤防时间计划 |
| 📅 设置布防计划 | defence_plan_set | 设置定时布撤防 |
| 🎥 隐私保护 | shelter_set = 1 | 开启镜头遮蔽保护隐私 |
| 📹 全天录像 | fullday_record_set = 1 | 开启全天录像功能 |
| 🔍 移动侦测 | motion_detect_sensitivity_set = 5 | 设置移动侦测灵敏度 |
为什么是 openai.ys7.com 而不是 open.ys7.com?
| 域名 | 用途 | 说明 |
|---|---|---|
openai.ys7.com | ✅ API 接口 | 萤石开放平台 API 专用域名(AI 不是指人工智能) |
open.ys7.com | 🌐 官方网站 | 萤石开放平台 官网/文档 入口 |
openai 的含义: 这里是 "Open API" 的缩写,不是 指 OpenAI 或人工智能。
# 验证 API 域名连通性
curl -I https://openai.ys7.com/api/lapp/token/get
# 验证官网连通性
curl -I https://open.ys7.com/
# 检查 SSL 证书(API 域名)
curl -vI https://openai.ys7.com/api/lapp/token/get 2>&1 | grep -A5 "SSL certificate"
# 验证域名所有权(萤石)
whois ys7.com官方文档: https://open.ys7.com/
安全提示:
openai.ys7.com 是萤石官方 API 域名默认行为:
/tmp/ezviz_global_token_cache/global_token_cache.json)为什么缓存 Token:
如果您不希望 Token 被持久化,可以通过以下方式禁用缓存:
方法 1: 环境变量
export EZVIZ_TOKEN_CACHE=0
python3 scripts/device_config.py ...方法 2: 修改代码
from token_manager import get_cached_token
# 禁用缓存
token_result = get_cached_token(app_key, app_secret, use_cache=False)| 系统 | 路径 |
|---|---|
| macOS | /var/folders/xx/xxxx/T/ezviz_global_token_cache/ |
| Linux | /tmp/ezviz_global_token_cache/ |
| Windows | C:\Users\{user}\AppData\Local\Temp\ezviz_global_token_cache\ |
查看缓存:
# macOS/Linux
ls -la /tmp/ezviz_global_token_cache/
cat /tmp/ezviz_global_token_cache/global_token_cache.json
# 清除缓存
rm -rf /tmp/ezviz_global_token_cache/# 1. 验证缓存文件权限
ls -la /tmp/ezviz_global_token_cache/global_token_cache.json
# 应该显示:-rw------- (600)
# 2. 验证缓存内容
cat /tmp/ezviz_global_token_cache/global_token_cache.json | python3 -m json.tool
# 3. 验证禁用缓存
export EZVIZ_TOKEN_CACHE=0
python3 scripts/device_config.py ...
# 应该显示 "Getting access token from Ezviz API" 而不是 "Using cached global token"
# 4. 清除缓存
python3 lib/token_manager.py clear# 推荐:使用 .env 文件(不要提交到版本控制)
echo "EZVIZ_APP_KEY=your_key" >> .env
echo "EZVIZ_APP_SECRET=your_secret" >> .env
chmod 600 .env
# 加载环境变量
source .env如果您在共享计算机或高安全环境中使用:
export EZVIZ_TOKEN_CACHE=0 # 禁用缓存
python3 scripts/device_config.py ...# 清除所有缓存的 Token
rm -rf /tmp/ezviz_global_token_cache/技能会读取以下路径中的萤石配置(仅当环境变量未设置时):
~/.openclaw/config.json
~/.openclaw/gateway/config.json
~/.openclaw/channels.json配置格式:
{
"channels": {
"ezviz": {
"appId": "your_app_id",
"appSecret": "your_app_secret",
"domain": "https://openai.ys7.com",
"enabled": true
}
}
}安全建议:
禁用配置文件扫描(环境变量优先):
export EZVIZ_APP_KEY="your_key"
export EZVIZ_APP_SECRET="your_secret"
# 环境变量优先级高于配置文件根据安全审计建议,请在安装前完成以下检查:
scripts/device_config.py 和 lib/token_manager.pyopenai.ys7.com 是萤石官方端点~/.openclaw/*.json 中是否有敏感凭证/tmp/ezviz_global_token_cache/ 可接受EZVIZ_APP_KEY 等环境变量EZVIZ_TOKEN_CACHE=0requests 等依赖的安全更新更新日志:
| 日期 | 版本 | 变更 | 说明 |
|---|---|---|---|
| 2026-03-18 | 1.0.4 | 更新域名为 openai.ys7.com | 与设备抓图技能保持一致 |
| 2026-03-18 | 1.0.4 | 采用全局 Token 缓存 | 使用 token_manager.py 统一管理 |
| 2026-03-18 | 1.0.3 | 添加 channels.json 支持 | 从 OpenClaw 配置文件读取凭证 |
| 2026-03-18 | 1.0.3 | 添加安全验证 | 设备序列号格式验证、凭证来源警告 |
| 2026-03-18 | 1.0.2 | 添加 Token 缓存说明 | 明确缓存行为,支持 EZVIZ_TOKEN_CACHE=0 禁用 |
| 2026-03-18 | 1.0.1 | 添加安全审计清单 | 根据安全建议添加完整检查清单 |
最后更新: 2026-03-18
版本: 1.0.4 (全局 Token 缓存版)
© LeoYeAI, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 4 other files (scripts, references) in skills/hsa-test4 of LeoYeAI/openclaw-master-skills.
Open the folder on GitHubat commit e5199b5
Ezviz Device Config next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Ezviz Device Config this skillLeoYeAI/openclaw-master-skills | 2.2k | — | ~3.9k | Automated safety check: Notes | MIT | |
| Foundation Models On Deviceaffaan-m/ECC | 277k | 4 repos | ~2.1k | Automated safety check: Pass | MIT | |
| Mdm Device Managementsickn33/agentic-awesome-skills | 47k | 1 repos | ~3k | Automated safety check: Notes | MIT | |
| Foundation Models On Deviceaffaan-m/ECC | 277k | 3 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Developer Device Platform Basicsgoogle/skills | 21k | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | |
| Implementing Usb Device Control Policymukul975/Anthropic-Cybersecurity-Skills | 34k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 |
affaan-m/ECC
Apple FoundationModels framework for on-device LLM — text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.
sickn33/agentic-awesome-skills
Manage and secure company devices with MDM solutions. An agent skill from sickn33/agentic-awesome-skills.
affaan-m/ECC
苹果FoundationModels框架用于设备上的LLM——文本生成、使用@Generable进行引导生成、工具调用,以及在iOS 26+中的快照流。
google/skills
Provides guidance and instructions on managing remote devices on Developer Device Platform (DDP).
mukul975/Anthropic-Cybersecurity-Skills
Implements USB device control policies to restrict unauthorized removable media access on endpoints, preventing data exfiltration and malware introduction via USB devices.
AprilNEA/OpenLogi
Finds the first failing layer when an OpenLogi Logitech device is missing or misbehaving across enumeration, open, probe, IPC and UI.
LeoYeAI/openclaw-master-skills
Manages pipelines on a DevOps quality and efficiency platform through its OpenAPI: list workspaces and templates, create, update, run and cancel pipelines, and read run records.
LeoYeAI/openclaw-master-skills
Patches OpenClaw's Feishu extension so an edited document triggers an isolated agent session that reads the doc and replies inline, turning it into a live chat space.
LeoYeAI/openclaw-master-skills
Multi-context memory management system for OpenClaw agents with group-isolated storage, global shared memory, workspace organization, and group-specific skills isolation.
LeoYeAI/openclaw-master-skills
Runs a brand's AI-search visibility work end to end: diagnosing how AI platforms represent it, repositioning it, producing AI-optimized content and monitoring ongoing mentions.
LeoYeAI/openclaw-master-skills
Installs and authenticates the gws CLI, then automates Gmail, Drive, Sheets, Calendar, Docs, Chat and Tasks with ready-made recipes, persona bundles and security audits.
LeoYeAI/openclaw-master-skills
Runs four advisor roles, a fitness coach, nutritionist, data analyst and TCM practitioner, to build a health profile and track workouts, diet and wellness over time.
萤石设备配置技能。支持 9 个设备配置 API,包括布防/撤防、镜头遮蔽、全天录像、移动侦测灵敏度等. An agent skill from LeoYeAI/openclaw-master-skills. Ezviz Device Config is an agent skill from LeoYeAI/openclaw-master-skills.
Ezviz Device Config fits situations like: : 需要远程配置萤石设备参数、修改设备布防状态、调整设备功能开关.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill ezviz-device-config -a claude-code`. Or copy the skill folder (skills/hsa-test4 in LeoYeAI/openclaw-master-skills) into .claude/skills/ezviz-device-config in your project. Claude Code loads it when a task matches its description.
Run `npx skills add LeoYeAI/openclaw-master-skills --skill ezviz-device-config -a codex`. Or copy the skill folder (skills/hsa-test4 in LeoYeAI/openclaw-master-skills) into .agents/skills/ezviz-device-config in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeoYeAI/openclaw-master-skills --skill ezviz-device-config -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ezviz-device-config, .gemini/skills/ezviz-device-config, .github/skills/ezviz-device-config and .opencode/skills/ezviz-device-config in your project.
Going by SKILL.md and its folder, Ezviz Device Config needs Python for the scripts in its folder, the command-line tools its instructions call (python3, curl and pip) and credentials named EZVIZ_APP_KEY, EZVIZ_APP_SECRET and EZVIZ_ACCESS_TOKEN. Our summary lists: Python 3; A credential in EZVIZ_APP_KEY; A credential in EZVIZ_APP_SECRET.
SKILL.md names 2 domains. In commands or code: openai.ys7.com and open.ys7.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
Ezviz Device Config is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.9k tokens (SKILL.md is roughly 16k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 555 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Ezviz Device Config: Foundation Models On Device (affaan-m/ECC, 277k stars), Mdm Device Management (sickn33/agentic-awesome-skills, 47k stars), Foundation Models On Device (affaan-m/ECC, 277k stars) and Developer Device Platform Basics (google/skills, 21k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,161 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.
Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.