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在 OpenClaw 中安装
/install twitterapi-research-skill
功能描述
General-purpose X/Twitter research agent. Searches X for real-time perspectives, dev discussions, product feedback, cultural takes, breaking news, and expert...
安全使用建议
Do not install blindly. The code requires a twitterapi.io API key (TWITTERAPI_IO_KEY) even though the registry metadata doesn't declare it—that mismatch is a red flag. Before installing: (1) verify the skill source (review the GitHub repo or author) and confirm you trust twitterapi.io; (2) avoid 'sourcing' a global env file that may contain many other secrets—prefer storing the TWITTERAPI_IO_KEY in a dedicated secret store or an agent-specific environment variable; (3) be aware agent session logs or tooling may record HTTP headers/commands (the README warns your API key could appear in logs), and rotate the key if you suspect exposure; (4) note this tool writes caches, a watchlist and saved drafts to your home directory—review those paths if privacy matters; (5) ensure Bun is acceptable in your environment. If the author can update the registry metadata to declare TWITTERAPI_IO_KEY (and any other required vars) and remove guidance to source a global env containing unrelated secrets, the inconsistency would be resolved and this would look far more benign.
功能分析
Type: OpenClaw Skill
Name: twitterapi-research-skill
Version: 0.1.0
The OpenClaw AgentSkills skill bundle is benign. It functions as a Twitter research agent, making API calls to `twitterapi.io` as described. All file system operations (cache, watchlist, saving drafts) are confined to the skill's own `data/` directory or the designated `~/clawd/drafts/` output directory. The `SKILL.md` and `README.md` files are well-behaved, providing clear instructions without any prompt injection attempts or malicious directives. The `README.md` even includes a transparent warning about potential API key logging by the AI agent platform, demonstrating good security awareness from the developer rather than malicious intent.
能力评估
Purpose & Capability
The code and SKILL.md clearly require a TWITTERAPI_IO_KEY and Bun to run, which is coherent with a twitterapi.io-based research tool — but the registry metadata lists no required environment variables or primary credential. That mismatch (manifest says 'none' while runtime code insists on an API key) is a material inconsistency.
Instruction Scope
SKILL.md and README instruct the user/agent to 'source ~/.config/env/global.env' and the code will read that file to extract TWITTERAPI_IO_KEY. Sourcing a global env file can expose many unrelated environment variables to the shell/agent session and agent logs. Apart from that, the instructions stick to search/profile/thread workflows and fetching linked web resources (web_fetch) which is expected for research, but the explicit guidance to source a global env file expands the skill's read scope beyond only the Twitter key.
Install Mechanism
No remote install/downloads or obscure URLs are used; this skill is provided as source files and is run with Bun per the README. There is no install spec that would fetch arbitrary code at runtime. The only external dependency is the third-party API (twitterapi.io) which is expected for this purpose.
Credentials
The runtime requires TWITTERAPI_IO_KEY (read from env or ~/.config/env/global.env) but the registry metadata does not declare this or any primary credential. The skill also accesses HOME paths (writes drafts to ~/clawd/drafts and a watchlist under the skill data directory). Requesting a single API key is proportionate to the stated purpose, but the manifest omission and instruction to source a global env file (potentially exposing other secrets) are disproportionate and risky.
Persistence & Privilege
The skill does local, expected file writes (cache, data/watchlist.json, and optional saved drafts) within its own skill directory and a drafts directory under the user's home. It does not request always:true, nor does it appear to modify other skills or system-wide configs. No elevated persistence is requested.
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 twitterapi-research-skill - 安装完成后，直接呼叫该 Skill 的名称或使用
/twitterapi-research-skill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
v0.1.0
- Initial release of the general-purpose X/Twitter research agent using twitterapi.io for full-archive, real-time searches.
- Supports targeted CLI commands for search, profile lookup, thread/conversation fetching, tweet details, and account watchlist management.
- Features robust search refinements: operator-based queries, sorting, time filtering, minimum likes/impressions, and engagement-based noise reduction.
- Enables saving, markdown/JSON output formats, and local result caching (15-minute TTL).
- Outlines best-practice research workflows: question decomposition, thread following, linked content investigation, synthesis, and saving.
- Includes heartbeat/watchlist functionality to monitor and flag notable tweets from key accounts.
元数据
常见问题
TwitterApi Research 是什么？
General-purpose X/Twitter research agent. Searches X for real-time perspectives, dev discussions, product feedback, cultural takes, breaking news, and expert... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 342 次。
如何安装 TwitterApi Research？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install twitterapi-research-skill」即可一键安装，无需额外配置。
TwitterApi Research 是免费的吗？
是的，TwitterApi Research 完全免费（开源免费），可自由下载、安装和使用。
TwitterApi Research 支持哪些平台？
TwitterApi Research 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 TwitterApi Research？
由 Blasco（@blascokoa）开发并维护，当前版本 v0.1.0。
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