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Install in OpenClaw
/install wewe-rss-deploy
Description
部署 WeWe RSS 服务，从微信公众号获取文章并生成 RSS，支持 SQLite 配置、微信读书登录和后台运行管理。
Usage Guidance
This skill is a straightforward deployment recipe for the public wewe-rss project, but take these precautions before running it: 1) Review the upstream repository (https://github.com/cooderl/wewe-rss) yourself so you know what code will run. 2) Be cautious about PLATFORM_URL (https://weread.111965.xyz): it is a third-party proxy used for WeRead-related actions — it may see account/login actions or scraped content. If you care about privacy, self-host that proxy or remove/replace PLATFORM_URL. 3) The steps will fetch packages from npm and GitHub (normal supply-chain risk); consider running in an isolated VM/container. 4) Back up anything important before running destructive file commands; the script removes/renames prisma directories within the cloned project only, but confirm you are operating in the intended workspace path. 5) PM2 startup creates system-level persistence (systemd/init) and may require privileges — verify and review the startup unit created. If you want a safer test, run the service manually (pnpm start) in a container or non-privileged environment and inspect network activity and logs before enabling automatic startup.
Capability Analysis
Type: OpenClaw Skill
Name: wewe-rss-deploy
Version: 1.0.1
The skill bundle automates the deployment of the legitimate open-source 'WeWe RSS' project from GitHub. It uses standard development tools (git, pnpm, Prisma, PM2) to clone, build, and run the service locally. While it configures a third-party proxy (weread.111965.xyz) and sets up service persistence via PM2, these actions are consistent with the stated purpose of the tool and do not show signs of malicious intent or data exfiltration.
Capability Assessment
Purpose & Capability
The SKILL.md precisely describes cloning the cooderl/wewe-rss GitHub repo, switching to a SQLite schema, installing Node dependencies, building, and running the service on port 4000. These steps are coherent with the skill name/description (deploying WeWe RSS). The skill metadata claims no required env vars; the runtime instructions do create a local .env for the service (AUTH_CODE, DATABASE_URL, etc.), which is expected for a self-hosted deployment.
Instruction Scope
Instructions stay within the deployment scope (git clone or GitHub zip download, pnpm install, prisma generate/migrate, build, start with pm2). Notable scope items to review: 1) the .env sets PLATFORM_URL to a third-party weread proxy (https://weread.111965.xyz) — using that public proxy may cause user login tokens or article content to be routed to an external service; 2) steps write runtime files under ~/.openclaw/workspace and a tools config file, and they instruct to remove/rename prisma directories inside the project (destructive only inside the cloned repo). Overall these actions are consistent with deployment but include privacy implications.
Install Mechanism
This is an instruction-only skill (no install spec) that instructs the user/agent to clone from GitHub and run pnpm/npx commands. The GitHub URLs used are normal project URLs (no shorteners or unknown hosts). The workflow will pull packages from npm during pnpm install, which is a normal supply-chain risk for any Node project but expected for this purpose.
Credentials
The skill does not request cloud credentials or unrelated secrets. It does instruct creating a local .env including AUTH_CODE and DATABASE_URL (local SQLite file). The main concern is the PLATFORM_URL pointing to a public third-party service that the project uses for WeRead forwarding — that service could receive or process authentication/login flow or article data. If you prefer to keep credentials/content private, you should self-host that proxy or avoid that PLATFORM_URL.
Persistence & Privilege
always:false (no forced global inclusion). The instructions recommend using PM2 to run the service and call pm2 save / pm2 startup, which will create a persistent startup entry (systemd / init modifications). That's a normal deployment behavior but has system-level persistence implications; installing pm2 globally may require elevated permissions on some systems. The skill writes a local path file under ~/.openclaw/workspace/tools for later discovery by other skills — this is limited to the user's home workspace and is within scope.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install wewe-rss-deploy - After installation, invoke the skill by name or use
/wewe-rss-deploy - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
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v1.0.0
首次发布：部署 WeWe RSS 微信公众号 RSS 服务
Metadata
Frequently Asked Questions
What is wewe-rss-deploy?
部署 WeWe RSS 服务，从微信公众号获取文章并生成 RSS，支持 SQLite 配置、微信读书登录和后台运行管理。 It is an AI Agent Skill for Claude Code / OpenClaw, with 131 downloads so far.
How do I install wewe-rss-deploy?
Run "/install wewe-rss-deploy" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is wewe-rss-deploy free?
Yes, wewe-rss-deploy is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does wewe-rss-deploy support?
wewe-rss-deploy is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created wewe-rss-deploy?
It is built and maintained by Kai (@agasding); the current version is v1.0.1.
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