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 mahmoud20138/Tradecraft --skill analyze-us30git clone --depth 1 https://github.com/mahmoud20138/TradecraftWrote 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/mahmoud20138/tradecraft/analyze-us30)<a href="https://agentmods.dev/skills/mahmoud20138/tradecraft/analyze-us30"><img src="https://agentmods.dev/badge/skills/mahmoud20138/tradecraft/analyze-us30/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/mahmoud20138/tradecraft/analyze-us30"><img src="https://agentmods.dev/badge/skills/mahmoud20138/tradecraft/analyze-us30.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 | $0.00073 | $0.01813 |
| Opus 5 | $0.00036 | $0.00907 |
| Sonnet 5 | $0.00015 | $0.00363 |
| Haiku 4.5 | $0.00007 | $0.00181 |
Grade A, and why
analyze-us30 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 — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Analyze US30 — Combination Command
Pre-configured wrapper around pair-analyze for US30 (Dow Jones Industrial Average CFD) with index-specific calibration. Pick this when the user says "analyze US30" or "Dow setup" so defaults match how the index actually trades.
Invocation
/tradecraft:analyze-us30 [TIMEFRAME] [MODE]
# Examples
/tradecraft:analyze-us30 # defaults: H1, standard
/tradecraft:analyze-us30 H4 conservative
/tradecraft:analyze-us30 M15 scalp
/tradecraft:analyze-us30 D1 swing
Arguments are exposed via $ARGUMENTS. Symbol is locked to US30.
What This Wrapper Does
- Binds symbol =
US30(also accepts broker variants:US30.cash,DJ30,YM,DOW— normalize before dispatch). - Applies US30-specific overrides (see below).
- Delegates to the
pair-analyzepipeline. - Returns the same JSON output contract as
pair-analyze, plus aus30_contextblock.
US30-Specific Calibration
| Aspect | Override vs. generic pair-analyze |
|---|---|
| Pip / point | 1.0 USD per unit — price quoted to 1 decimal |
| Typical spread | 1.0 – 3.0 during cash session; 4.0 – 10.0 overnight |
| Active sessions | US pre-market and cash session (12:00 – 21:00 UTC) |
| Dead zone | Asian session — wide spreads, low volume, gap risk |
| Volatility reference | H1 ATR(14) typically 60–160 pts; >250 = elevated |
| SL minimum | Max(structure-based, 0.8 × H1 ATR, 40 pts) |
| High-impact drivers | FOMC, CPI, NFP, ISM, mega-cap earnings (AAPL/MSFT/GS/UNH), yields |
| News gate buffer | 15 min before / 45 min after red-folder USD events |
| Correlation to monitor | SPX (high positive), VIX (inverse), USTs (context), DXY (weak inverse) |
| Gap behavior | Weekend and overnight gaps are common — open positions past cash close at risk |
Mode Defaults Adjusted for US30
| Mode | Per-trade risk | Min R:R | Notes |
|---|---|---|---|
| conservative | 0.5% | 3.0 | H4/D1 only; avoid FOMC week and earnings peaks |
| standard | 1.0% | 2.0 | H1/H4; cash session only |
| aggressive | 1.5% | 1.5 | H1/M15; first 90 min of US open, or post-FOMC trend |
| scalp | 0.5% | 1.5 | M5/M15; cash session only — never overnight |
| swing | 1.0% | 3.0 | H4/D1; align with SPX and breadth trend |
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 · 141 lines · 73 tokens per session scan A 1a34da8ad342
analyze-us30 is a skill published in the GitHub repository mahmoud20138/Tradecraft (15 stars, last pushed 4mo ago), licensed MIT. It adds 73 tokens to every session and 1,813 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 2026-08-30.
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