Borrowing it
Nothing to install: this file belongs to tusharagg1/aifolimizer. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/tusharagg1/aifolimizer/master/.claude/skills/top-trades-today/SKILL.mdgit clone --depth 1 https://github.com/tusharagg1/aifolimizerWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/tusharagg1/aifolimizer/top-trades-today)<a href="https://agentmods.dev/skills/tusharagg1/aifolimizer/top-trades-today"><img src="https://agentmods.dev/badge/skills/tusharagg1/aifolimizer/top-trades-today/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/tusharagg1/aifolimizer/top-trades-today"><img src="https://agentmods.dev/badge/skills/tusharagg1/aifolimizer/top-trades-today.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00088 | $0.01262 |
| Opus 5 | $0.00044 | $0.00631 |
| Sonnet 5 | $0.00018 | $0.00252 |
| Haiku 4.5 | $0.00009 | $0.00126 |
Grade A, and why
top-trades-today scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Top Trades Today (ranked, decision-ready)
Goal
Short ranked list of names worth trading TODAY - held or watchlist - each with explicit entry / stop / target / R:R / conviction. Built on the same scoring engine as the dashboard signals (get_trade_ideas), then gated by crowding + macro catalysts. Designed to be pushed to Telegram each morning.
Stage 0 - Decision Memory (load FIRST)
Before ranking, load prior decisions so verdicts stay consistent across sessions:
mcp__aifolimizer__get_cross_ticker_lessonswithmax_lessons=3- portfolio-level win/loss patterns- For any name you promote to the list, also load
mcp__aifolimizer__get_ticker_decision_history(ticker=…, max_decisions=5) andmcp__aifolimizer__get_ticker_reflection(symbol=…, n=3).
Reconciliation rule: if a prior decision exists and your new read flips it, state explicitly WHY it changed (new data / catalyst / price move). Never silently contradict a logged decision - that drift is exactly what this prevents.
How to run
Call get_profile FIRST (accounts, capital - never hardcode). Then in parallel:
mcp__aifolimizer__get_trade_ideaswithtop_n=5, include_watchlist=true, min_risk_reward=1.5mcp__aifolimizer__get_macro_snapshot(regime + scheduled catalysts)mcp__aifolimizer__get_positioning_signalswith the symbols returned by step 1 (crowding guard)
Catalyst gate (FIRST - before ranking)
Check macro snapshot for events TODAY (US Eastern): FOMC, CPI, NFP, PCE, GDP advance, VIX > 25. If a major catalyst hits today, prefix the headline ⚠️ CATALYST: <event> @ <time> and add: "Halve intraday size or wait until after the print." Do not suppress the list - annotate it.
Crowding guard (per CLAUDE.md)
For each idea, cross-check get_positioning_signals:
crowding_label == consensus(score ≥ 70) AND action is BUY/ADD → downgrade conviction one notch, tagconsensus-crowded - late-entry risk. Do NOT promote a crowded name to the top slot on a BUY.crowding_label == contrarian(score ≤ 30) AND fundamentals/score support → tagcontrarian setup(favourable).- TSX (.TO) names with null crowding → treat as neutral, don't over-weight the absence.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 11d ago First seen · 69 lines · 88 tokens per session scan A 70e6f93f5872
top-trades-today is a skill published in the GitHub repository tusharagg1/aifolimizer (2 stars, last pushed 9d ago), licensed MIT. It adds 88 tokens to every session and 1,262 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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