Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add ntaffzii/Skill-Agents --skill tradinggit clone --depth 1 https://github.com/ntaffzii/Skill-AgentsWrote 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/ntaffzii/skill-agents/trading)<a href="https://agentmods.dev/skills/ntaffzii/skill-agents/trading"><img src="https://agentmods.dev/badge/skills/ntaffzii/skill-agents/trading.svg" alt="Measured on agentmods" 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 | $0.00075 | $0.01065 |
| Opus 5 | $0.00037 | $0.00532 |
| Sonnet 5 | $0.00015 | $0.00213 |
| Haiku 4.5 | $0.00007 | $0.00106 |
Grade A, and why
trading 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 6d 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 — 43 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Trading Skills
Use this skill to find the right trading/investing skill in skills/trading/.
Purpose
skills/trading/ is a workflow toolkit for a time-constrained individual investor — long-term/dividend/ETF core holdings, plus disciplined swing trading as a satellite strategy, plus general market-awareness. It structures market review, risk management, and trade journaling. It is not a signal service and does not place trades. Every skill in this category treats the human as the decision-maker; the skills compute numbers and structure checklists, they don't recommend trades.
Pattern inspired by tradermonty/claude-trading-skills (MIT) — see NOTICE.md for attribution. That source repo has 71 skills; this starter set (9 skills) covers the three areas actually in use here (long-term/dividend investing, disciplined swing trading, general market awareness) rather than replicating the full catalog. Expand it the same way thai/ was expanded — pick one gap at a time, verify it, register it.
Skills in this category
| Skill | Purpose | Area |
|---|---|---|
| market-breadth-analyzer | % of a universe trading above a moving average, from a CSV | Market regime |
| uptrend-analyzer | % of a universe in an established "stage 2" uptrend structure | Market regime |
| exposure-coach | Combines breadth + uptrend + drawdown state into one exposure-ceiling read | Market regime |
| position-sizer | Risk-based share sizing (fixed-fractional, ATR-based, Kelly) | Swing / risk |
| drawdown-circuit-breaker | Mechanical size-reduction/halt rule after account drawdown | Swing / risk |
| portfolio-manager | Periodic core-portfolio review checklist (concentration, rebalance, dividends) | Core portfolio |
| dividend-value-screener | Value/dividend-quality screening checklist, yield-trap detection | Core portfolio |
| trader-memory-core | Trade journal schema + win rate / R-multiple / expectancy stats | Trade memory |
| backtest-expert | Simulate a long-only rule (or MA-crossover) against historical prices — win rate, drawdown, profit factor | Strategy validation |
What ships with it
17 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- backtest-expert/backtest.py 11 KB runs code
- backtest-expert/SKILL.md 6.6 KB
- dividend-value-screener/SKILL.md 4.7 KB
- drawdown-circuit-breaker/gate.py 3.9 KB runs code
- drawdown-circuit-breaker/SKILL.md 4.5 KB
- exposure-coach/posture.py 3.5 KB runs code
- exposure-coach/SKILL.md 4.1 KB
- market-breadth-analyzer/breadth.py 4.2 KB runs code
- market-breadth-analyzer/SKILL.md 4.2 KB
- portfolio-manager/SKILL.md 4.5 KB
- position-sizer/size.py 5.1 KB runs code
- position-sizer/SKILL.md 4.7 KB
- trader-memory-core/journal_stats.py 4.5 KB runs code
- trader-memory-core/journal-schema.yaml 1.4 KB
- trader-memory-core/SKILL.md 4.8 KB
- uptrend-analyzer/SKILL.md 3.8 KB
- uptrend-analyzer/uptrend.py 3.3 KB runs code
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.
- 6d ago First seen · 43 lines · 75 tokens per session scan A 4e40bc920316
trading is a skill published in the GitHub repository ntaffzii/Skill-Agents (4 stars, last pushed 4d ago), licensed MIT. It adds 75 tokens to every session and 1,065 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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