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 trade-journaling-aigit 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/trade-journaling-ai)<a href="https://agentmods.dev/skills/signal-execution-labs/forex-trading-ai-agent/trade-journaling-ai"><img src="https://agentmods.dev/badge/skills/signal-execution-labs/forex-trading-ai-agent/trade-journaling-ai/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/trade-journaling-ai"><img src="https://agentmods.dev/badge/skills/signal-execution-labs/forex-trading-ai-agent/trade-journaling-ai.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 | $0.00473 |
| Opus 5 | $0.00000 | $0.00236 |
| Sonnet 5 | $0.00000 | $0.00095 |
| Haiku 4.5 | $0.00000 | $0.00047 |
Grade A, and why
trade-journaling-ai 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:
- trade-journaling-ai — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Trade Journaling AI
AI-powered trade journaling with psychological analysis and pattern detection.
Features
- Automatic Trade Import - Sync trades from all connected exchanges
- AI Trade Review - GPT analyzes each trade for lessons
- Emotional Tracking - Log emotions and detect patterns
- Mistake Detection - AI identifies recurring mistakes
- Setup Tagging - Auto-tag setups based on entry patterns
- Performance Analytics - Deep stats by setup, time, asset
- Improvement Suggestions - Personalized coaching from AI
- Voice Notes - Record verbal analysis of trades
Commands
kit journal add # Add trade manually
kit journal import # Import from exchanges
kit journal review <trade> # AI review of trade
kit journal emotions # Emotion pattern analysis
kit journal mistakes # Common mistake report
kit journal stats # Performance statistics
kit journal improve # Get improvement suggestions
API Endpoints
POST /api/journal/add- Add trade entryPOST /api/journal/import- Import tradesGET /api/journal/trades- List tradesGET /api/journal/review/:id- AI trade reviewGET /api/journal/emotions- Emotion patternsGET /api/journal/mistakes- Mistake analysisGET /api/journal/stats- StatisticsGET /api/journal/coaching- AI coaching
Emotional States Tracked
- Confident, Fearful, Neutral
- Greedy, FOMO, Revenge
- Panic, Relieved, Bored
- Overconfident, Frustrated
Configuration
journal:
auto_import: true
import_interval: 1h
ai_review: true
emotion_prompts: true # Ask for emotions after trades
voice_notes: true
photo_attachments: true # Screenshot charts
ai_model: gpt-4
AI Coaching Features
- Weekly performance reviews
- Pattern recognition across trades
- "What would you do differently?"
- Risk management scoring
- Consistency metrics
- Comparison to best traders
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 · 67 lines · 0 tokens per session scan A 0c097cce74cd
trade-journaling-ai 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 473 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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