trump-truth-monitor
Use when monitoring or interpreting Donald Trump's Truth Social posts for market-moving events — tariff announcements, sanctions, deals with countries (China / Mexico / Canada / EU / Japan / Korea / Taiwan), specific company / CEO mentions, Fed pressure, energy / oil commentary, crypto policy, or geopolitical escalation. Triggers on "trump 发了什么", "check trump", "trump 关税", "盘前 trump 推", "trump truth social", "trump tweet impact", "trump 对 X 说了什么", or whenever a pre-market gap / intraday spike on policy-sensitive names (semis, China ADRs, autos, energy, banks, defense) needs to be explained.
npx skills add kansoku-trade/kansoku --skill trump-truth-monitor --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Trump Truth Monitor Pulls Donald Trump's Truth Social feed via the trumpstruth.org RSS mirror, classifies posts into market-relevant topic buckets, and hands the candidate list off for LLM-level market-impact grading. ## When to use - User asks what Trump has posted recently - Pre-market gap on policy-sensitive sectors (semis, China ADRs, autos, energy, banks, defense) — check whether a Trump post is the trigger - Building the "Catalyst (now)" lens of `stock-deep-dive` for a name with policy exposure (TSM, NVDA, AAPL, F, GM, XOM, BAC, RTX, LMT) - `market-session-tracker` pre-market protocol — add a Trump-feed pass If the user wants tweet **history beyond ~5 days**, this skill is insufficient — the RSS mirror only exposes the latest ~100 posts. Route to Factba.se / Roll Call (paid) or note the limitation explicitly. ## Data source **trumpstruth.org/feed** — a public third-party mirror of @realDonaldTrump on Truth Social. RSS 2.0 XML with these fields per item: | Field | Meaning | | --------------------- | -------------------------------------------------------------------- | | `<pubDate>` | RFC 2822, original Truth Social post timestamp | | `<link>` | trumpstruth.org/statuses/{mir
- When to use
- Data source
- CLI
- Read mode — fetch.py
- Archive mode — archive.py
- Workflow
- Output template
- Anti-patterns
- Integration
- Limitations
- Local archive — searching past posts
- Related skills
python3 .claude/skills/trump-truth-monitor/scripts/fetch.py Wider window python3 .claude/skills/trump-truth-monitor/scripts/fetch.py --hours 72 All posts in feed regardless of keyword python3 .claude/skills/trump-truth-monitor/scripts/fetch.py --hours 72 --all Single topic python3 .claude/skills/trump-truth-monitor/scripts/fetch.py --topic tariff_trade JSON output (for chaining) python3 .claude/skills/trump-truth-monitor/scripts/fetch.py --json Append new posts to journal/trump-feed/YYYY-MM-DD.md (idempotent)
What does the trump-truth-monitor skill do?
Use when monitoring or interpreting Donald Trump's Truth Social posts for market-moving events — tariff announcements, sanctions, deals with countries (China / Mexico / Canada / EU / Japan / Korea / Taiwan), specific company / CEO mentions, Fed pressure, energy / oil commentary, crypto policy, or geopolitical escalation. Triggers on "trump 发了什么", "check trump", "trump 关税", "盘前 trump 推", "trump truth social", "trump tweet impact", "trump 对 X 说了什么", or whenever a pre-market gap / intraday spike on policy-sensitive names (semis, China ADRs, autos, energy, banks, defense) needs to be explained.
How do I install it?
Run `npx skills add kansoku-trade/kansoku --skill trump-truth-monitor --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From kansoku-trade/kansoku, a repository with 272 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.