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 Signal-Execution-Labs/forex-trading-ai-agent --skill wyckoff-schematicgit clone --depth 1 https://github.com/Signal-Execution-Labs/forex-trading-ai-agentWrote 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/signal-execution-labs/forex-trading-ai-agent/wyckoff-schematic)<a href="https://agentmods.dev/skills/signal-execution-labs/forex-trading-ai-agent/wyckoff-schematic"><img src="https://agentmods.dev/badge/skills/signal-execution-labs/forex-trading-ai-agent/wyckoff-schematic/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/signal-execution-labs/forex-trading-ai-agent/wyckoff-schematic"><img src="https://agentmods.dev/badge/skills/signal-execution-labs/forex-trading-ai-agent/wyckoff-schematic.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00000 | $0.00770 |
| Opus 5 | $0.00000 | $0.00385 |
| Sonnet 5 | $0.00000 | $0.00154 |
| Haiku 4.5 | $0.00000 | $0.00077 |
Grade A, and why
wyckoff-schematic 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 9d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- wyckoff-schematic — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 102 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Wyckoff Schematic Detector
Automatically detect and visualize Wyckoff Method accumulation and distribution patterns in real-time.
Overview
Identifies smart money movements using Richard Wyckoff's century-old method:
- Accumulation phases (smart money buying)
- Distribution phases (smart money selling)
- Phase transitions (PS, SC, AR, ST, Spring, UTAD, SOW, etc.)
Features
Phase Detection
- Preliminary Support (PS): First buying appears after prolonged downtrend
- Selling Climax (SC): Panic selling on high volume, capitulation
- Automatic Rally (AR): Natural bounce after SC
- Secondary Test (ST): Retest of SC lows
- Spring/Shakeout: Final fake breakdown before markup
- Last Point of Support (LPS): Higher low confirmations
- Sign of Strength (SOS): Breakout above resistance
Distribution Detection
- Preliminary Supply (PSY): First selling after uptrend
- Buying Climax (BC): Euphoric buying on high volume
- Automatic Reaction (AR): Pullback after BC
- Secondary Test (ST): Retest of BC highs
- Upthrust After Distribution (UTAD): Failed breakout
- Sign of Weakness (SOW): Breakdown signals
Volume Analysis
- Volume spread analysis at each phase
- Effort vs Result comparison
- Supply/demand strength measurement
- No-demand and no-supply candles
Visual Elements
- Phase labels on chart
- Trading range boundaries
- Creek/ice levels (support/resistance)
- Volume annotations
- Alert zones
Configuration
wyckoff_schematic:
sensitivity: medium # low, medium, high
min_range_bars: 20 # minimum bars for trading range
volume_threshold: 1.5 # volume spike multiplier
show_labels: true
show_annotations: true
alert_on_spring: true
alert_on_utad: true
timeframes: [1h, 4h, 1d]
assets: [BTC, ETH, SPY]
Outputs
phase: Current Wyckoff phase (accumulation, distribution, markup, markdown)event: Latest detected event (SC, AR, ST, Spring, etc.)probability: Confidence level (0-100%)bias: Expected direction (bullish, bearish, neutral)range_high: Trading range resistancerange_low: Trading range supportvolume_context: Volume analysis summary
What ships with it
1 file 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.
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.
- 9d ago First seen · 102 lines · 0 tokens per session scan A ac57c68fd834
wyckoff-schematic is a skill published in the GitHub repository Signal-Execution-Labs/forex-trading-ai-agent (136 stars, last pushed 9d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 770 tokens. 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 2026-09-03.
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