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AIsa Twitter Autopilot — X/Twitter 全量读取能力：用户信息、推文历史、搜索、趋势、回复、引用、转发、话题上下文。不需 OAuth，成本远低于官方 API。CIO 追踪市场情绪，Writer 追踪热点话题和 KOL。
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
AUTO-INVOKE for fast technical scans and market briefs. Triggers: scan TICKER (or 扫 TICKER, quick TICKER) for single/multi quick analysis; portfolio health (or portfolio-health, 持仓健康) for batch portfolio scan; market brief HK/US (or brief HK/US, 市场简报 HK/US) for index+sector overview. Output is a DSA-style 决策看板 / 市场简报 emitted on stdout for you to deliver.
AUTO-INVOKE for structured adversarial review when the user wants to stress-test a plan, decision, thesis, or article angle. Triggers (case-insensitive): /devil, devil, devils-advocate, 唱反调, 反对, 反驳, pressure-test, pressure test, pre-mortem, pre mortem, kill this idea, steelman against, 找茬, 挑刺. The skill produces a strict 3-section adversarial output. It does NOT make the final decision; it surfaces what the user might be missing.
Monthly portfolio allocation review — load rules + latest valuation, compute bucket weights vs targets, identify rebalance candidates, enforce gold/cash/single-name caps, save JSON+TXT, and deliver a concise summary.
Policy-constrained Portfolio Manager (PM) decision workflow — compute investable/bucket weights, diagnose drifts and breaches, and emit three-layer recommendations with audit + chat rendering.
Detect and reject fabricated portfolio reports with fake holdings (AAPL, TSLA, GOOGL) vs real anchors (NVDA, NVDA, MSFT, 0700.HK, 0700.HK, Japanese/Singaporean funds)
Deterministic portfolio valuation and chat-friendly push using Yahoo multi-endpoint fallbacks (v7 quote → v8 chart → v7 spark), static valuation for MMF/StructNote/CODE items, at-cost valuation for HSBC 2028 bond, FX overrides, MMF safety allocation, ringfenced obligations, liabilities deduction, separate lots for duplicate tickers (e.g., 0700.HK A/B), JSON snapshotting, and cron scheduling at SGT 18:00 with manual /888 trigger.
| name | aisa-twitter |
| description | AIsa Twitter Autopilot — X/Twitter 全量读取能力：用户信息、推文历史、搜索、趋势、回复、引用、转发、话题上下文。不需 OAuth，成本远低于官方 API。CIO 追踪市场情绪，Writer 追踪热点话题和 KOL。 |
| auto_invoke_on | ["看推文","Twitter搜索","趋势","KOL说了什么","市场情绪","热点话题","X上","推特","某人最近发推","关注者"] |
X/Twitter 全量读取能力，无需 OAuth。 一个 API Key 即可获取所有公开数据。
trends 找今天热什么python3 ${PLUGIN_ROOT}/skills/aisa-twitter/scripts/call.py twitter <action> [options]
| Action | 用途 | 参数 |
|---|---|---|
user | 用户资料 | --username |
tweets | 最新推文 | --username |
mentions | 被 @ 记录 | --username |
followers | 关注者列表 | --username |
followings | 正在关注 | --username |
user-search | 搜索用户 | --query |
tweet-search | 高级推文搜索 | --query, --query-type |
tweets-by-id | 按 ID 查推文 | --tweet-ids |
replies | 推文回复 | --tweet-id |
quotes | 引用转发 | --tweet-id |
retweeters | 转发者列表 | --tweet-id |
thread | 线程上下文 | --tweet-id |
trends | 全球/地区趋势 | --woeid |
article | 推文内文章 | --tweet-id |
# CIO: 看 Elon Musk 最近说了什么
python3 ${PLUGIN_ROOT}/skills/aisa-twitter/scripts/call.py twitter tweets --username elonmusk
# CIO: 搜索 "NVIDIA earnings" 的讨论
python3 ${PLUGIN_ROOT}/skills/aisa-twitter/scripts/call.py twitter tweet-search --query "NVIDIA earnings" --query-type Latest
# CIO: 查一个 KOL 的影响力
python3 ${PLUGIN_ROOT}/skills/aisa-twitter/scripts/call.py twitter user --username aantonop
# Writer: 看今天全球趋势
python3 ${PLUGIN_ROOT}/skills/aisa-twitter/scripts/call.py twitter trends --woeid 1
# Writer: 搜索 "AI agent" 话题看热度
python3 ${PLUGIN_ROOT}/skills/aisa-twitter/scripts/call.py twitter tweet-search --query "AI agent" --query-type Top
# Writer: 看某个话题线程
python3 ${PLUGIN_ROOT}/skills/aisa-twitter/scripts/call.py twitter thread --tweet-id 1234567890123456789
# CIO: 新加坡趋势 (WOEID 23424948)
python3 ${PLUGIN_ROOT}/skills/aisa-twitter/scripts/call.py twitter trends --woeid 23424948
1 = 全球23424948 = 新加坡23424977 = 美国2442047 = 中国