Agent skill

Trump Truth Social Monitor

by kansoku-trade in kansoku-trade/kansoku

Pulls recent Truth Social posts from a public RSS mirror, sorts them into market-relevant topic buckets and prepares them for market-impact grading, with an archive mode.

Custom licenceAuto-check passedBusiness, Finance & HR

Install Trump Truth Social Monitor

skills CLI
$ npx skills add kansoku-trade/kansoku --skill trump-truth-monitor -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install kansoku-trade/kansoku trump-truth-monitor --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/kansoku-trade/kansoku.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/trump-truth-monitor .claude/skills/trump-truth-monitor && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
trump-truth-monitor
GitHub stars
328
Token cost
~2.2k tokens
SKILL.md length
783 words
Files
3 (incl. scripts)
Skills in repo
13
Repo updated
First seen
Licence
Custom licence

At a glance

Pulls recent Truth Social posts from a public RSS mirror, sorts them into market-relevant topic buckets and prepares them for market-impact grading, with an archive mode.

  • Works in 6 steps: Decide window. Default 24h. Use 48–72h… → Decide scope. If user asks generally →… → Pull feed. Run fetch.py with chosen… → …
  • Asking what Trump has posted recently
  • SKILL.md covers When to use, Data source, CLI and Workflow, plus 6 more sections
  • Runs Python scripts from its folder; calls python3

What it does

Posts are read from the trumpstruth.org feed, a public third-party mirror of the @realDonaldTrump account that lags the original by two minutes or less and returns roughly the latest 100 posts, about five days. Each post is classified into one of six topic buckets (tariff and trade, semiconductors and tech, energy, Fed and macro, crypto, geopolitical), and the candidate list is handed to the agent for a market-impact grade.

Two Python scripts do the work. fetch.py reads the feed, by default for the last 24 hours with keyword filtering and markdown output. archive.py appends new posts to dated markdown files under journal/trump-feed, skips posts it has already saved and is built to run on a schedule, so posts stay available if the mirror goes down. For history beyond about five days the skill says it is not enough and suggests paid sources or stating the limitation.

When your agent uses it

  • Asking what Trump has posted recently
  • Explaining a pre-market gap in policy-sensitive sectors such as semis, autos or energy
  • Checking whether a post about tariffs, sanctions or the Fed lines up with a stock move
  • Adding a post-feed check to a pre-market routine

Example prompts

  • “Check what Trump posted in the last 24 hours that could matter for tariff-sensitive stocks.”
  • “Why are China ADRs gapping down pre-market? See whether a Truth Social post is the cause.”
  • “Archive today's posts to the journal folder and list the ones that mention the Fed.”

Requirements

  • Python 3
  • Network access to trumpstruth.org

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Decide window. Default 24h. Use 48–72h when investigating a multi-day move. Use --all when context-grazing.
  2. Decide scope. If user asks generally → no --topic. If user names a domain (关税 / 半导体 / 油 / 加密) → pass --topic.
  3. Pull feed. Run fetch.py with chosen flags. Always include --hours — never default to "all of feed" silently.
  4. Second-pass grading. Script output is candidates, not signals. For each post
  5. Anchor on original URL. When quoting, always cite truth:originalUrl (the truthsocial.com link), not the mirror.
  6. Render output. For multi-post stretches, group by tier — high first, then med, then a one-line low/noise tally.

What it can do on your machine

Read from SKILL.md and the folder at commit 8fa9a03. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 2 files in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Trump Truth Social Monitor loads about 2.2k tokens when it runs. Until then it costs about 154 tokens; SKILL.md has 783 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~154
When it runs · the whole SKILL.md, loaded when a task matches
~2.2k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 783 words (~2,242 tokens).

“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.”

— opening of SKILL.md by kansoku-trade, Custom licence
name
trump-truth-monitor

Read the full SKILL.md on GitHub

Files

SKILL.md and 2 other files (scripts) in .claude/skills/trump-truth-monitor of kansoku-trade/kansoku.

  • SKILL.md
  • scripts/archive.py
  • scripts/fetch.py

Open the folder on GitHubat commit 8fa9a03

Compare with similar skills

Trump Truth Social Monitor next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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SkillStarsUsed inTokensAuto-checkLicenceRepo updated
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Market and Stock Deep Researchokikusan-public/stock_skills135—~739Automated safety check: PassNone
Market Environment Analysistradermonty/claude-trading-skills3k3 repos~1.4kAutomated safety check: PassMIT
Manussanjay3290/ai-skills432—~1.7kAutomated safety check: PassApache-2.0
Mx Finance Datahiboys/ExploreFinance365—~518Automated safety check: PassNone

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Questions about Trump Truth Social Monitor

What does Trump Truth Social Monitor do?

Pulls recent Truth Social posts from a public RSS mirror, sorts them into market-relevant topic buckets and prepares them for market-impact grading, with an archive mode. org feed, a public third-party mirror of the @realDonaldTrump account that lags the original by two minutes or less and returns roughly the latest 100 posts, about five days. Each post is classified into one of six topic buckets (tariff and trade, semiconductors and tech, energy, Fed and macro, crypto, geopolitical), and the candidate list is handed to the agent for a market-impact grade.

When should I use Trump Truth Social Monitor?

Trump Truth Social Monitor fits situations like: asking what Trump has posted recently; explaining a pre-market gap in policy-sensitive sectors such as semis, autos or energy; checking whether a post about tariffs, sanctions or the Fed lines up with a stock move; adding a post-feed check to a pre-market routine.

How do I install Trump Truth Social Monitor in Claude Code?

Run `npx skills add kansoku-trade/kansoku --skill trump-truth-monitor -a claude-code`. Or copy the skill folder (.claude/skills/trump-truth-monitor in kansoku-trade/kansoku) into .claude/skills/trump-truth-monitor in your project. Claude Code loads it when a task matches its description.

How do I install Trump Truth Social Monitor in Codex?

Run `npx skills add kansoku-trade/kansoku --skill trump-truth-monitor -a codex`. Or copy the skill folder (.claude/skills/trump-truth-monitor in kansoku-trade/kansoku) into .agents/skills/trump-truth-monitor in your project. Codex loads it when a task matches its description.

Can I use Trump Truth Social Monitor in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add kansoku-trade/kansoku --skill trump-truth-monitor -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/trump-truth-monitor, .gemini/skills/trump-truth-monitor, .github/skills/trump-truth-monitor and .opencode/skills/trump-truth-monitor in your project.

What does Trump Truth Social Monitor need to run?

Going by SKILL.md and its folder, Trump Truth Social Monitor needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3; Network access to trumpstruth.org.

Does Trump Truth Social Monitor access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Trump Truth Social Monitor safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Trump Truth Social Monitor use?

Trump Truth Social Monitor has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.

How many tokens does Trump Truth Social Monitor use?

About 2.2k tokens (SKILL.md is roughly 9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Trump Truth Social Monitor?

Skills that share tags, products or a category with Trump Truth Social Monitor: Supply-Chain Bottleneck Hunter (HKUDS/Vibe-Trading, 35k stars), Market and Stock Deep Research (okikusan-public/stock_skills, 135 stars), Market Environment Analysis (tradermonty/claude-trading-skills, 3k stars) and Manus (sanjay3290/ai-skills, 432 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Trump Truth Social Monitor?

kansoku-trade (a GitHub organization) maintains it in kansoku-trade/kansoku, which has 328 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on September 26, 2026.

Source: kansoku-trade/kansoku on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.