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daheiai/easy-openclaw

A skills for openclaw to easy use

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View on GitHubAdd to my skills

Verified commit 17b10da5c5f0f825a435e908f21c3f8cd9ca79f9

111GitHub stars
0stars in 7 days
1skill in this repository
0commits in 30 days

Heat

0.3
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  • Star growth, last 24 hoursNot available
  • Rank movement, last 7 daysNot available
  • Commits, last 30 daysNot available
  • Accounts asking about it through MCP, last 7 daysNot available
  • Hot votes this weekNot available

Heat never changes the order by stars, and sponsorship never touches it. How heat works

Stars over time

Oct 25, 2026Oct 25, 2026111

30-day change not yet available: not enough history.

Individual skills in this repository

How it works

easy-openclaw

When your agent uses it

OpenClaw 配置优化向导。采用“第 0 层测试观测(可选)+ 前 3 轮优化 + 第 4 轮接入扩展”流程:基础推荐层(含联网搜索与权限模式)、渠道增强层(Discord/Feishu/Telegram 分支优化)、Skills 推荐层(可执行可跳过)、新增渠道接入引导(可跳过)。用于帮助用户快速完成 OpenClaw 初始化或优化配置。用户说到“优化 openclaw”“配置向导”“openclaw 初始化”“体验太差想一键整理配置”等场景时触发。

What it loads into context

Frontmatter

144 tokens

Always available to the agent

SKILL.md

3,943 tokens

When the skill is activated

Reference documents

21,802 tokens

Loaded on request

Token counts are estimates. Scripts run separately; they are not counted as reference context.

The playbook

  1. 你的角色
  2. 参考文件怎么用
  3. 第 0 层(可选):测试观测模式
  4. Step -1:环境预检(轻量)
  5. 开场白
  6. Step 0:备份 / 恢复
  7. 第 1 轮:当前渠道识别 + 基础推荐
  8. 第 2 轮:渠道增强
  9. 第 3 轮:Skills 推荐层
  10. 第 4 轮:新增渠道接入(可跳过)
  11. 条件补充提问
  12. 收尾确认
  13. 统一执行阶段
  14. 结束后的行为

Files

  • .gitignoreasset68 bytes
  • README.mddoc6,257 bytes
  • SKILL.mdcore13,459 bytes
  • SKILL.mdcore13,459 bytes
  • SKILL.mdcore13,459 bytes
  • references/collection.mddoc3,039 bytes
  • references/configs.mddoc4,594 bytes
  • references/execution.mddoc6,190 bytes
  • references/layer0-testing.mddoc2,264 bytes
  • references/layer1-base.mddoc17,577 bytes
  • references/layer2-channels.mddoc9,995 bytes
  • references/layer3-skills.mddoc9,622 bytes
  • references/layer4-onboarding.mddoc7,980 bytes
  • references/troubleshooting.mddoc8,499 bytes

No excerpt is shown for this license. Read the source on GitHub.

View the complete source on GitHub

Skills included

  • easy-openclaw

Repository facts

License
No license detected
Created
Mar 2, 2026
Last pushed
Mar 15, 2026
Forks
15
Open issues
0
Project activity
Slowing

Before you install

Network or broad shell

Automated signals, not a guarantee

Checked Nov 5, 2026

Not fully analyzed: some files were too long, unreadable or missing. This never lowers the level.

Show 2 notes
  • SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
  • SKILL.md:1 Analysis incomplete: Referenced executable target unavailable; not analyzed
Show all 69 signals by file

.gitignore

  • Access to secretsline 4
    [Credential-related source omitted]

README.md

  • Network accessline 45
    > 从 `https://github.com/daheiai/easy-openclaw` 安装并启用这个 skill。
  • Network accessline 65
    - OpenClaw:`https://github.com/openclaw-ai/openclaw`
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    - OpenClaw Backup:`https://clawhub.ai/alex3alex/openclaw-backup`
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    - Agent Reach:`https://github.com/Panniantong/Agent-Reach`
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    - 安全防御矩阵:`https://github.com/slowmist/openclaw-security-practice-guide`
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    - Find Skills:`https://clawhub.ai/JimLiuxinghai/find-skills`
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    - Youtube Clipper Skill:`https://github.com/op7418/Youtube-clipper-skill`
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    - OpenClaw Medical Skills:`https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills`
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    - Awesome OpenClaw Usecases:`https://github.com/hesamsheikh/awesome-openclaw-usecases`
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    - Awesome OpenClaw Skills:`https://github.com/VoltAgent/awesome-openclaw-skills`
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    如果你需要国外顶流模型:可以看看我整理的 180+ 中转站导航页 `https://api.daheiai.com/` 任君挑选。它们与我没有利益关系,我只是搜集;建议大家 **少充点、多次充**,没人能保证这个站现在好用、下个月也一定好用。
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    答:我做了一个每隔 4 小时更新的 AI 新闻监控站:`https://news.daheiai.com/`,同时开放了 RSS(你可以订阅,也可以让你的小龙虾直接去抓取)。
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    另外我还做了一个“各类 Agent 工具到底在更新啥”的监控站(Claude Code / Codex / OpenClaw / Opencode / Gemini CLI 等):`https://news.daheiai.com/changelog.php`。有这方面需求欢迎查看。
  • Network accessline 112
    答:有的。你可以点击 `https://daheiai.com` 查看我的更多项目,也可以在里面找到我们的交流群入口。

SKILL.md

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    whoami id for c in sudo docker apt-get curl jq python3; do command -v "$c" >/dev/null 2>&1 && echo "$c=ok" || echo "$c=missing"; done
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    id for c in sudo docker apt-get curl jq python3; do command -v "$c" >/dev/null 2>&1 && echo "$c=ok" || echo "$c=missing"; done test -S /var/run/docker.sock && ls -l /var/run/docker.sock || echo "docker_sock=missing"
  • Dangerous shell operationline 61
    for c in sudo docker apt-get curl jq python3; do command -v "$c" >/dev/null 2>&1 && echo "$c=ok" || echo "$c=missing"; done
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    for c in sudo docker apt-get curl jq python3; do command -v "$c" >/dev/null 2>&1 && echo "$c=ok" || echo "$c=missing"; done
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    > 5. Youtube Clipper - YouTube 内容快速剪辑提取 > 6. OpenClaw Medical Skills - 调用专业医疗数据库 > 7. Awesome OpenClaw Usecases - `https://github.com/hesamsheikh/awesome-openclaw-usecases`
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    > 6. OpenClaw Medical Skills - 调用专业医疗数据库 > 7. Awesome OpenClaw Usecases - `https://github.com/hesamsheikh/awesome-openclaw-usecases` > 8. Awesome OpenClaw Skills - `https://github.com/VoltAgent/awesome-openclaw-skills`
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    > 7. Awesome OpenClaw Usecases - `https://github.com/hesamsheikh/awesome-openclaw-usecases`
  • Network accessline 215
    > 8. Awesome OpenClaw Skills - `https://github.com/VoltAgent/awesome-openclaw-skills`

references/layer1-base.md

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    推荐策略(按优先级): 1) `https://defuddle.md/https://目标网址`(主力正文提取)
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    1) `https://defuddle.md/https://目标网址`(主力正文提取)
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    2) `https://r.jina.ai/http://目标网址`(备用正文提取)
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    ## 搜索服务(默认) - 默认不部署本地搜索服务,也不强依赖 Brave API。 - 第 1 优先:`https://defuddle.md/https://目标网址`
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    - 默认不部署本地搜索服务,也不强依赖 Brave API。 - 第 1 优先:`https://defuddle.md/https://目标网址` - 第 2 优先:`https://r.jina.ai/http://目标网址`
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    - 第 1 优先:`https://defuddle.md/https://目标网址`
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    - 第 2 优先:`https://r.jina.ai/http://目标网址`
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    curl -L -s "https://defuddle.md/https://example.com" | head
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    curl -L -s "https://r.jina.ai/http://example.com" | head
  • Dangerous shell operationline 222
    - 重要:仅保留 `coding` 不代表“删除文件 / sudo 一定会触发审批”。OpenClaw 新版里,`tools.profile` 只决定工具集合,不直接等于 exec 审批策略。
  • Dangerous shell operationline 223
    - 若要验证审批,优先测试 `exec` 审批路径:确保 `exec-approvals.json` 已启用 `security=allowlist + ask=on-miss`,并执行一个“不在 allowlist 中”的命令来触发审批;不要把“rm 没弹审批”直接理解成 Telegram / Discord 审批联动失效。
  • Network accessline 364
    写入方式(强制): - 不要直接照抄仓库里的示例路径;写入前必须先用 `command -v ls pwd cat grep rg cp find echo whoami sed head tail mkdir mv touch tree which jq curl openclaw git python python3 pip pip3 npm bun pytest uv` 获取当前机器的真实路径。
  • Network accessline 365
    - 不要直接照抄仓库里的示例路径;写入前必须先用 `command -v ls pwd cat grep rg cp find echo whoami sed head tail mkdir mv touch tree which jq curl openclaw git python python3 pip pip3 npm bun pytest uv` 获取当前机器的真实路径。

references/layer2-channels.md

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references/layer3-skills.md

  • Network accessline 32
    - ClawHub:`https://clawhub.ai/alex3alex/openclaw-backup`
  • Network accessline 48
    - 仓库:`https://github.com/Panniantong/Agent-Reach`
  • Network accessline 49
    - 安装文档:`https://raw.githubusercontent.com/Panniantong/agent-reach/main/docs/install.md`
  • Network accessline 57
    - 第一步:确认 OpenClaw 已允许执行命令;若当前是 `minimal`,先提示切到 `coding`   - 第二步:直接按上游安装文档执行:     - `帮我安装 Agent Reach:https://raw.githubusercontent.com/Panniantong/agent-reach/main/docs/install.md`
  • Network accessline 58
    - 第二步:直接按上游安装文档执行:     - `帮我安装 Agent Reach:https://raw.githubusercontent.com/Panniantong/agent-reach/main/docs/install.md`   - 第三步:若用户要求安全模式,则改用上游文档里的 `--safe` 路线
  • Network accessline 59
    - `帮我安装 Agent Reach:https://raw.githubusercontent.com/Panniantong/agent-reach/main/docs/install.md`
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    - 仓库:`https://github.com/slowmist/openclaw-security-practice-guide`
  • Network accessline 71
    - 核心文档:`https://github.com/slowmist/openclaw-security-practice-guide/blob/main/docs/OpenClaw%E6%9E%81%E7%AE%80%E5%AE%89%E5%85%A8%E5%AE%9E%E8%B7%B5%E6%8C%87%E5%8D%97.md`
  • Network accessline 84
    - ClawHub:`https://clawhub.ai/JimLiuxinghai/find-skills`
  • Network accessline 97
    - 仓库:`https://github.com/op7418/Youtube-clipper-skill`
  • Network accessline 103
    - 仓库:`https://github.com/FreedomIntelligence/OpenClaw-Medical-Skills`
  • Network accessline 116
    - 仓库:`https://github.com/hesamsheikh/awesome-openclaw-usecases`
  • Network accessline 123
    - 仓库:`https://github.com/VoltAgent/awesome-openclaw-skills`

references/layer4-onboarding.md

  • Network accessline 24
    - Discord(用户侧)   - 打开 `https://discord.com/developers/applications`,点击 `New Application` 新建应用并输入名称
  • Network accessline 25
    - 打开 `https://discord.com/developers/applications`,点击 `New Application` 新建应用并输入名称
  • Network accessline 42
    - Feishu(用户侧)   - 第一段(先做 1-7,做完先回传 `App ID/App Secret`):   - 1) 打开 `https://open.feishu.cn` 进入开放平台,进入开发者后台并创建企业自建应用
  • Network accessline 43
    - 第一段(先做 1-7,做完先回传 `App ID/App Secret`):   - 1) 打开 `https://open.feishu.cn` 进入开放平台,进入开发者后台并创建企业自建应用   - 2) 填名称/描述/头像(自定义即可)
  • Network accessline 44
    - 1) 打开 `https://open.feishu.cn` 进入开放平台,进入开发者后台并创建企业自建应用

references/troubleshooting.md

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    curl -L -s "https://defuddle.md/https://example.com" | head
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    curl -L -s "https://r.jina.ai/http://example.com" | head

How the signals fit together

Facts from a static read of the files at the pinned commit. They describe what the code does, not why.

Some files could not be read; the facts below still hold.

Signal confidence: 68 facts

and 18 more

Works with

Agent compatibility, from the files in this repository
AgentStatusEvidenceInstall to
Claude CodeCompatibleStandard SKILL.md SKILL.md.claude/skills/<skill-name>/
CodexCompatibleStandard SKILL.md SKILL.md.agents/skills/<skill-name>/
CursorCompatibleStandard SKILL.md SKILL.md.cursor/skills/<skill-name>/
Gemini CLICompatibleStandard SKILL.md SKILL.md.gemini/skills/<skill-name>/
GitHub CopilotCompatibleStandard SKILL.md SKILL.md.github/skills/<skill-name>/
OpenCodeCompatibleStandard SKILL.md SKILL.md.opencode/skills/<skill-name>/
  • Native The repository ships a manifest, folder or frontmatter field for this agent.
  • Compatible A standard SKILL.md that this agent can read.
  • Unknown No evidence either way.

Derived automatically from paths, manifests and frontmatter. Not tested on each agent.