prediction-trade-journal — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited prediction-trade-journal (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Track every trade, learn from outcomes, improve your edge.
Use this skill when the user wants to:
When user asks to install or configure this skill:
pip install simmer-sdkSIMMER_API_KEY# Sync trades from API
python tradejournal.py --sync
# Show recent trades
python tradejournal.py --history 10
# Generate weekly report
python tradejournal.py --report weekly
# Export to CSV
python tradejournal.py --export trades.csvAPI Reference:
https://api.simmer.marketsAuthorization: Bearer $SIMMER_API_KEYGET /api/sdk/trades/api/sdk/trades to fetch trade history| Command | Description |
|---|---|
--sync | Fetch new trades from API |
--history N | Show last N trades (default: 10) |
--sync-outcomes | Update resolved markets |
--report daily/weekly/monthly | Generate summary report |
--config | Show configuration |
--export FILE.csv | Export to CSV |
--dry-run | Preview without making changes |
| Setting | Environment Variable | Default |
|---|---|---|
| API Key | SIMMER_API_KEY | (required) |
Trades are stored locally in data/trades.json:
{
"trades": [{
"id": "uuid",
"market_question": "Will X happen?",
"side": "yes",
"shares": 10.5,
"cost": 6.83,
"outcome": {
"resolved": false,
"winning_side": null,
"pnl_usd": null
}
}],
"metadata": {
"last_sync": "2025-01-29T...",
"total_trades": 50
}
}Other skills can enrich trades with context:
from tradejournal import log_trade
# After executing a trade
log_trade(
trade_id=result['trade_id'],
source="copytrading",
thesis="Mirroring whale 0x123...",
confidence=0.70
)This adds thesis, confidence, and source to the trade record for better analysis.
📓 Weekly Report
========================================
Period: Last 7 days
Trades: 15
Total cost: $125.50
Resolved: 8 / 15
Win rate: 62.5%
P&L: +$18.30
By side: 10 YES, 5 NO"SIMMER_API_KEY environment variable not set"
export SIMMER_API_KEY=sk_live_..."No trades recorded yet"
python tradejournal.py --sync to fetch trades from APITrades not showing outcomes
python tradejournal.py --sync-outcomes to update resolved markets~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.