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Ai Trend Curation

Name: Ai Trend Curation
Author: yusaku-0426

作者 yusaku-0426 · GitHub ↗ · v1.0.0

cross-platform ⚠ suspicious

673

总下载

当前安装

版本数

在 OpenClaw 中安装

/install ai-trend-curation

功能描述

Curate and post AI trend tweets from X (Twitter) with quote suggestions.

使用说明 (SKILL.md)

ai-trend-curation

X (Twitter) から AI 関連のトレンドツイートを収集・キュレーションし、Slack に投稿する。

ワークフロー

Step 1: ツイート検索

node scripts/ai_trends.js search

xurl CLI で日本語・英語の AI 関連ツイートを検索。いいね100以上（日本語）/ 500以上（英語）をフィルタ。

Step 2: キュレーション（エージェント実行）

検索結果をもとに、エージェントが以下を判断:

5-8件を選定（日本語3-5件 + 英語3-5件のバランス）
驚き屋・煽り系は排除。実務者・技術者の実践ベース投稿を優先
各ツイートに category, author_desc, text_ja(英語の場合), quote_suggestion を付与

Step 3: 重複チェック

node scripts/ai_trends.js check-recent

最近投稿済みのURLと重複しないか確認。

Step 4: Block Kit フォーマット

node scripts/ai_trends.js format-blocks \
  --tweets='[{...curated tweets...}]' \
  --summary="今日のAIトレンド要約"

Step 5: Slack 投稿

openclaw message send で親メッセージ + スレッド返信を投稿。

Step 6: 投稿済みマーク

node scripts/ai_trends.js mark-posted --urls='["url1","url2"]'

選定フィルター

@yusaku_0426 が引用して付加価値を出せるか
元ツイートの発信者がRTしてくれそうか（批判・揚げ足取りNG）

引用ツイート案のペルソナ

一人称「僕」、丁寧語 or 体言止め。情報整理型キュレーター。 5-100文字で簡潔に。「最高！」「同意です」のような薄いリアクションは絶対NG。

引用パターン (A-H)

A: 要点抜粋+補足解説
B: 注目ポイント指摘（「地味に重要なのは〜」）
C: 活用報告（「試してみた」＋体験）
D: 共感（短い一言で同意）
E: 一行要約（本質をワンフレーズに凝縮）
F: 問いかけ・展開（「これ〜にも応用できそう」）
G: 比較・接続（別ツール/事例と比較）
H: 数字・データ強調

カテゴリ

:rocket: new_release
:hammer_and_wrench: tools
:microscope: research
:thought_balloon: opinions
:bulb: tips

安全使用建议

Do not install or enable this skill yet. The SKILL.md and metadata expect a Node script (scripts/ai_trends.js) and the xurl CLI, but no such script or install instructions are included in the package — this makes the skill non-functional and ambiguous about what it would actually run. Before proceeding, ask the author for: (1) the repository or source of scripts so you can review them, (2) an install spec or signed release (so you know binaries won't be fetched from untrusted URLs), and (3) details on how it authenticates to X (Twitter) and how Slack posting is authorized. If you obtain the scripts, review them for network endpoints, credential usage, and file I/O (look for code that reads environment variables, shells out to arbitrary commands, or posts to unknown external URLs). Also verify the xurl binary is the legitimate tool you expect. Only install after you can inspect the referenced scripts or are given a trusted upstream source; until then the skill should be considered incomplete and treated with caution.

功能分析

Type: OpenClaw Skill Name: ai-trend-curation Version: 1.0.0 The OpenClaw skill 'ai-trend-curation' appears benign. The `SKILL.md` file clearly outlines a workflow for curating AI trend tweets and posting them to Slack, using `node` to execute local scripts (`scripts/ai_trends.js`) and the `xurl` CLI tool. The instructions for the AI agent are detailed and focused on content filtering and generation, without any evidence of prompt injection attempts to deviate from the stated purpose, access sensitive data, or perform unauthorized actions. No indicators of malicious activity such as data exfiltration, unauthorized execution, or persistence mechanisms are present in the provided files.

能力评估

⚠ Purpose & Capability

The skill's stated purpose (curate/post AI tweets to Slack) is plausible, but the metadata and SKILL.md both reference scripts/ai_trends.js and the xurl CLI as required runtime components — yet the registry entry contains no code files or install instructions. That mismatch means the skill cannot perform its stated tasks as provided, and it's unclear where the referenced scripts would come from.

⚠ Instruction Scope

SKILL.md explicitly instructs the agent to run node scripts (search, check-recent, format-blocks, mark-posted) and to call 'openclaw message send'. Those instructions are reasonable for the stated purpose, but they depend entirely on missing scripts. There are no instructions that request unrelated system files or extra environment variables, but the missing scripts create ambiguity about what other actions (network calls, credential usage, file I/O) those scripts would perform.

ℹ Install Mechanism

No install spec is provided (lowest install risk). However, because there is no install and no included scripts, the skill as-published is non-functional. If an operator later supplies or downloads the referenced scripts from an external source, that download/install step would become the primary risk and must be reviewed.

✓ Credentials

The skill declares no required environment variables or credentials. Posting to Slack is done via the agent's 'openclaw message send' (which uses the environment the agent already has). No unrelated secrets are requested in the manifest or SKILL.md.

✓ Persistence & Privilege

Default privileges (always: false, agent-invocable allowed) are used. The skill does not request permanent presence or attempt to change other skills' configs in the provided materials.

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 ai-trend-curation
安装完成后，直接呼叫该 Skill 的名称或使用 /ai-trend-curation 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

v1.0.0

Initial release of ai-trend-curation. - Collects and curates trending AI-related tweets from X (Twitter) in both Japanese and English. - Filters tweets by likes (100+ for Japanese, 500+ for English) and curates 5–8 quality posts per batch. - Excludes sensational posts, prioritizing practitioner and technical content. - Adds category, author description, Japanese translation, and quote suggestion to each curated tweet. - Formats curated tweets for Slack and posts as main messages with thread replies. - Prevents duplicate posts and marks tweets as posted after publishing. - Includes guidelines for quote tone, selection filters, and various predefined quoting patterns.

元数据

Slug ai-trend-curation

版本 1.0.0

许可证 —

累计安装 3

当前安装数 3

历史版本数 1

常见问题