← 返回 Skills 市场
443
总下载
0
收藏
1
当前安装
6
版本数
在 OpenClaw 中安装
/install undersheet
功能描述
Persistent thread memory for OpenClaw agents across any platform — Moltbook, Hacker News, Reddit, Discord, Twitter. Tracks threads, surfaces only new replies...
安全使用建议
UnderSheet appears to do what it says: track threads and surface new replies across platforms. Before installing: 1) Review the source files locally (don't blindly run the curl commands). The repo includes executable Python adapters that will be written into ~/.openclaw/skills/undersheet. 2) Be aware it asks you to store credentials and will cache tokens/cookies under ~/.config/undersheet (and ~/.config/moltbook). Those files grant posting power—treat them like secrets. 3) Note the Moltbook adapter contains an automated CAPTCHA solver; this can bypass protections and may violate a platform's terms of service—consider whether you want that capability enabled. 4) If you only need read-only behavior, prefer supplying least-privilege credentials (e.g., bearer tokens for read-only) and avoid placing write-capable keys in the config. 5) Prefer cloning the GitHub repo and inspecting files before use, run initial tests in a sandboxed account or environment, and consider disabling or removing post-comment functionality if you don't want autonomous posting.
功能分析
Type: OpenClaw Skill
Name: undersheet
Version: 1.2.3
The OpenClaw AgentSkills skill bundle 'undersheet' is classified as benign. Its code and documentation consistently align with its stated purpose of providing persistent thread memory and feed tracking across various social platforms. While it handles sensitive credentials (API keys, usernames/passwords, OAuth tokens) by storing them in plaintext JSON files in `~/.config/undersheet/`, this is for its own operation and is a common configuration pattern, not an indicator of malicious intent. The skill makes extensive network calls to legitimate API endpoints and uses `importlib` for a standard plugin architecture. Prompt injection instructions in `SKILL.md` are limited to configuring the skill for persistence (heartbeat) which is part of its stated functionality, without any evidence of deceptive or harmful objectives.
能力评估
Purpose & Capability
Name/description (persistent thread memory across platforms) aligns with the code and instructions: adapters for Discord, HN, Moltbook, Reddit, Twitter are present and the skill reads/writes per-platform state and credentials. The included platform adapters, feed/track/heartbeat commands, and credential file layout are coherent with the stated purpose.
Instruction Scope
SKILL.md tells the agent/user to download files into ~/.openclaw/skills/undersheet and to place credentials under ~/.config/undersheet (and ~/.config/moltbook). The code reads/writes those exact paths (cookie jar, OAuth token cache, state JSONs). This is expected for a local agent skill but expands the scope beyond in-memory operations: it persists tokens, cookies, and state to disk and can post (write) on your behalf. The moltbook adapter includes a built-in CAPTCHA solver that programmatically solves verification challenges—this capability goes beyond simple syncing and can be used to bypass rate-limits/captcha protections, which is higher risk and may violate platform rules.
Install Mechanism
SKILL.md recommends curl'ing raw.githubusercontent.com or cloning the GitHub repo — GitHub raw is a common release host (lower risk than arbitrary URLs). The package as distributed includes many code files; although the registry lists this as instruction-only, the skill bundle contains executable Python files, so the actual install involves writing code to disk (the curl/clone instructions do that). No packaged binary downloads or obscure URLs were used.
Credentials
No environment variables or unrelated credentials are requested by the registry metadata. The code requires per-platform credentials (Discord bot token, Reddit OAuth keys, Hacker News username/password, Twitter bearer + OAuth keys, Moltbook API key) which are all directly relevant to the corresponding adapters. The skill also stores cookies and cached tokens under ~/.config/undersheet which is proportionate to its functionality but worth noting because those files contain auth material.
Persistence & Privilege
The skill is not marked always:true and does not request elevated system-wide privileges. It persistently stores state, cookies, and OAuth tokens in the user's home directory (expected for this use case). It can perform write actions (post_comment) if credentials are provided, which is expected behavior but increases blast radius if misused.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install undersheet - 安装完成后，直接呼叫该 Skill 的名称或使用
/undersheet触发 - 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
v1.2.3
Atomic state writes via os.replace — no more torn JSON on concurrent access or power loss. Corrupt state file recovers cleanly.
v1.2.2
Pure stdlib, zero deps, community-open with CONTRIBUTING.md, dupe-reply guard (mark_replied, get_unanswered_comments)
v1.2.0
**Proxy/VPN support added in v1.2.0**
- Added support for proxy and VPN routing via ~/.config/undersheet/proxy.json (HTTP/SOCKS5), command-line flags, and environment variables.
- Updated README and SKILL documentation to describe proxy setup for agent traffic.
- No changes to dependencies; SOCKS5 uses optional pysocks.
- General improvements to documentation and usage instructions.
v1.1.1
fix: add SKILL.md frontmatter (fixes suspicious flag)
v1.1.0
v1.1: Twitter/X adapter, Discord/Twitter setup docs, status command, verbose mode, recipes, real demo output in README
v1.0.0
Initial release: persistent thread memory for any platform. Moltbook, HN, Reddit, Discord adapters included.
元数据
常见问题
Undersheet 是什么？
Persistent thread memory for OpenClaw agents across any platform — Moltbook, Hacker News, Reddit, Discord, Twitter. Tracks threads, surfaces only new replies... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 443 次。
如何安装 Undersheet？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install undersheet」即可一键安装，无需额外配置。
Undersheet 是免费的吗？
是的，Undersheet 完全免费（开源免费），可自由下载、安装和使用。
Undersheet 支持哪些平台？
Undersheet 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 Undersheet？
由 ubgb（@ubgb）开发并维护，当前版本 v1.2.3。
推荐 Skills