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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
Passed 11 of 16 test cases with the skill, and 5 of 16 without it.
and 8 more in the full report
9 fixed7 passed either way7 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
Trump posted comments criticizing Jerome Powell's interest rate policy and inflation figures over the last 24 hours. Which topic tag should be applied to the fetch script?
| Checked | Without skill | With skill |
|---|---|---|
| Applies topic tag fed_macro when querying fetch script. | Missed | Passed |
The instructions your model reads when the skill loads.
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.
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 passIf 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.
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/{mirror_id} |
<truth:originalUrl> | truthsocial.com/@realDonaldTrump/{truth_id} — the primary source |
<description> | Full post body with HTML (links + ellipsis spans) |
The mirror typically lags the original by ≤2 minutes. Single feed pull returns ~100 most recent posts, covering ~5 days at Trump's typical cadence.
fetch.py# Default: last 24h, keyword-filtered, markdown
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
test cases passed, vs 5 / 16 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.