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 performance-reportgit 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/performance-report)<a href="https://agentmods.dev/skills/signal-execution-labs/forex-trading-ai-agent/performance-report"><img src="https://agentmods.dev/badge/skills/signal-execution-labs/forex-trading-ai-agent/performance-report/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/performance-report"><img src="https://agentmods.dev/badge/skills/signal-execution-labs/forex-trading-ai-agent/performance-report.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 | $0.00026 | $0.01441 |
| Opus 5 | $0.00013 | $0.00720 |
| Sonnet 5 | $0.00005 | $0.00288 |
| Haiku 4.5 | $0.00003 | $0.00144 |
Grade A, and why
performance-report 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 8d 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:
- performance-report — 100% identical, 0 lines differ
How it starts
The opening of the file, as written. The whole thing — 238 lines — stays where its author put it; the contents beside it link to each section on GitHub.
📊 Performance Report
Track your trading performance. Generate detailed daily, weekly, and monthly reports with P&L analysis, win rates, best/worst trades, and actionable insights.
Features
📈 P&L Analysis
- Realized vs unrealized P&L
- P&L by asset, strategy, timeframe
- Fee impact analysis
- Cumulative returns chart
🎯 Trade Statistics
- Win rate and profit factor
- Average win vs average loss
- Expectancy calculation
- Risk/reward analysis
📅 Time-Based Reports
- Daily summary
- Weekly performance review
- Monthly deep-dive
- Quarterly/annual reports
💡 Insights & Recommendations
- Best performing assets
- Optimal trading hours
- Strategy effectiveness
- Areas for improvement
Usage
# Daily summary
kit report daily
# Weekly report
kit report weekly
# Monthly report
kit report monthly
# Custom period
kit report --from 2024-01-01 --to 2024-01-31
# Export to PDF
kit report monthly --export pdf
# Specific asset analysis
kit report --asset BTC
CLI Output
📊 K.I.T. Weekly Performance Report
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Period: Feb 3 - Feb 9, 2026
Generated: Feb 9, 2026 22:00
💰 P&L SUMMARY
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Starting Balance: $43,500.00
Ending Balance: $45,231.50
Net P&L: +$1,731.50 (+3.98%)
Realized P&L: +$1,456.78 (+3.35%)
Unrealized P&L: +$274.72 (+0.61%)
Fees Paid: -$89.50
📈 TRADING ACTIVITY
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Total Trades: 23
Winning Trades: 15 (65.2%)
Losing Trades: 8 (34.8%)
Win Rate: 65.2% ✅
Average Win: +$156.78
Average Loss: -$89.23
Profit Factor: 2.63 ✅
Expectancy: +$75.28/trade
🏆 TOP PERFORMERS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
1. BTC/USDT Long +$523.40 (+4.2%)
2. ETH/USDT Long +$312.56 (+3.8%)
3. SOL/USDT Long +$178.90 (+2.1%)
📉 WORST TRADES
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
1. AVAX/USDT Short -$156.78 (-3.2%)
2. LINK/USDT Long -$89.23 (-1.8%)
📊 BY ASSET
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
BTC: +$856.90 (12 trades, 75% win)
ETH: +$534.20 (6 trades, 67% win)
SOL: +$289.45 (3 trades, 67% win)
Other: +$50.95 (2 trades, 50% win)
💡 INSIGHTS
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
✅ Strong week - outperformed targets
✅ BTC trades particularly profitable
⚠️ Shorts underperformed - review strategy
💡 Best trading hours: 14:00-18:00 UTC
💡 Consider increasing BTC allocation
"Another profitable week. Keep this up!"
- K.I.T.
What ships with it
2 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.
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.
- 8d ago First seen · 238 lines · 26 tokens per session scan A e89ba8caa957
performance-report is a skill published in the GitHub repository Signal-Execution-Labs/forex-trading-ai-agent (136 stars, last pushed 8d ago), licensed MIT. It adds 26 tokens to every session and 1,441 once invoked, about $0.0001 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 2026-09-03.
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