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lanyasheng

One Click Posting

作者 _silhouette · GitHub ↗ · v1.2.0
cross-platform ⚠ suspicious
278
总下载
0
收藏
2
当前安装
2
版本数
在 OpenClaw 中安装
/install one-click-posting
功能描述
一键发帖执行技能:把同一条内容快速打包为小红书/X/知乎可发布稿,并按固定门禁完成“预检→老板确认→发布→截图复核→数据归档”。用于用户说“一键发帖”“帮我直接发”“多平台同步发”“先出发布包再发”的场景;也用于发布前质量检查和发布后复盘归档。
安全使用建议
Key points to consider before installing/using: - This skill prepares publish packets, enforces preflight gates, and updates packet JSON — it does NOT contain code to publish to Xiaohongshu/X/知乎 (no API calls or posting automation). If you expect automatic posting, you'll need an additional component or connector; verify how the actual publish step will be performed. - The scripts read and write files at paths you provide (body files, cover images, packet JSON, archive folders). Double-check the paths you pass and avoid pointing to sensitive system files. Back up important data before first run. - SKILL.md suggests calling a 'content-deai-engine' for de-AI checks but that engine is not included or declared; find out what that component is and whether it performs network requests or requires credentials before enabling automated checks. - The code is plain Python (no obfuscation, no hidden endpoints detected). Still review the scripts yourself, test them in a sandbox, and confirm where archives and screenshots are stored (knowledge/ and memory/ paths) so you can control retention. - Because the agent-platform allows autonomous invocation by default, decide whether to allow automatic runs that will modify files; require explicit user confirmation for actual publish actions (the skill claims it won't publish without confirmation, but you should enforce that in agent policy).
功能分析
Type: OpenClaw Skill Name: one-click-posting Version: 1.2.0 The skill bundle implements a structured workflow for multi-platform social media posting (Xiaohongshu, X, Zhihu) with a focus on quality control and human-in-the-loop approval. The Python scripts (build_publish_packet.py, run_preflight.py, update_packet_status.py) are well-written, using standard libraries for JSON state management and image metadata validation without any network calls, shell execution, or suspicious file access. The SKILL.md instructions explicitly enforce security boundaries, such as requiring explicit user confirmation ('boss confirmation') before any publishing action and prohibiting the forgery of results.
能力评估
Purpose & Capability
The name/description promise a full “preflight → boss confirm → publish → screenshot review → archive” pipeline. The included scripts (build_publish_packet.py, run_preflight.py, update_packet_status.py) only build a local JSON publish-packet, run local preflight checks, and update status/notes. There is no code to perform actual posting or interact with platform APIs or web endpoints. This is plausible design (the skill may only prepare and gate publish actions), but it is inconsistent with the description's implication of an end-to-end publish step.
Instruction Scope
SKILL.md instructs running the provided scripts and to obey hard gates (user confirmation, cover checks, source traceability). That stays mostly within scope. Two notes: (1) SKILL.md mentions calling a 'content-deai-engine' for de-AI checks but that engine is not included or declared as a dependency; its provenance/behavior is unknown. (2) The scripts require absolute paths and will read/write files (body files, cover images, publish-packet JSON, and archives). Ensure the agent only operates on intended file paths.
Install Mechanism
Instruction-only skill with Python scripts included; no install spec, no external downloads, and no package installers. Nothing is written to disk by an installer; the scripts are present in the skill bundle.
Credentials
The skill declares no required environment variables, credentials, or config paths. The scripts operate on user-supplied file paths and local JSON structures only — this is proportionate to the stated purpose of building and validating a publish packet.
Persistence & Privilege
always is false and there are no special privileges requested. The skill writes only to packet files and archive paths specified by the user; it does not modify other skills or system-wide agent settings. Note that the platform default allows autonomous invocation — consider whether you want the agent to run these file-modifying scripts autonomously.
如何使用
  1. 确保已安装 OpenClaw(本地或 Docker 部署)
  2. 在对话框中输入安装命令:/install one-click-posting
  3. 安装完成后,直接呼叫该 Skill 的名称或使用 /one-click-posting 触发
  4. 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
版本历史
v1.2.0
Default Xiaohongshu cover mode to platform text-cover (xhs_text), add cover-mode gate and pre-publish cover-review checks; remove dependency on external cover generation by default.
v1.1.0
Add default approval gate, cover spec checks, and packet status updater.
元数据
Slug one-click-posting
版本 1.2.0
许可证
累计安装 2
当前安装数 2
历史版本数 2
常见问题

One Click Posting 是什么?

一键发帖执行技能:把同一条内容快速打包为小红书/X/知乎可发布稿,并按固定门禁完成“预检→老板确认→发布→截图复核→数据归档”。用于用户说“一键发帖”“帮我直接发”“多平台同步发”“先出发布包再发”的场景;也用于发布前质量检查和发布后复盘归档。 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 278 次。

如何安装 One Click Posting?

在 OpenClaw 或 Claude Code 对话框中运行命令「/install one-click-posting」即可一键安装,无需额外配置。

One Click Posting 是免费的吗?

是的,One Click Posting 完全免费(开源免费),可自由下载、安装和使用。

One Click Posting 支持哪些平台?

One Click Posting 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。

谁开发了 One Click Posting?

由 _silhouette(@lanyasheng)开发并维护,当前版本 v1.2.0。

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