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 winstonkoh87/Athena-Public --skill trade-journal-analyzergit clone --depth 1 https://github.com/winstonkoh87/Athena-PublicWrote 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/winstonkoh87/athena-public/trade-journal-analyzer)<a href="https://agentmods.dev/skills/winstonkoh87/athena-public/trade-journal-analyzer"><img src="https://agentmods.dev/badge/skills/winstonkoh87/athena-public/trade-journal-analyzer/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/winstonkoh87/athena-public/trade-journal-analyzer"><img src="https://agentmods.dev/badge/skills/winstonkoh87/athena-public/trade-journal-analyzer.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 | $0.00029 | $0.00852 |
| Opus 5.5 | $0.00012 | $0.00341 |
| Sonnet 5.5 | $0.00006 | $0.00170 |
| Haiku 4.5 | $0.00003 | $0.00085 |
Grade A, and why
trade-journal-analyzer 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 2mo 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 — 88 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Trade Journal Analyzer (Expanded)
Absorbs:
drawdown-classifier
Reads historical trade entries, extracts actionable statistical patterns, AND classifies drawdowns. Converts a "diary" into a "data warehouse."
Triggers
"analyze my trades", "journal patterns", "what's my actual WR", "edge audit", "losing streak", "drawdown", "is my system broken", "should I stop trading", "3 losses in a row"
Core Analytics
- Ingest: Read entries from
.context/trading_journal/. - Parse: Extract setup type, instrument, direction, entry, SL, TP, result, notes.
- Analyze:
- Win Rate by Setup Type: Which setups are actually profitable?
- Win Rate by Instrument: Where is the edge strongest?
- Win Rate by Time of Day: Asian vs London vs NY session performance.
- Average R:R Achieved: Planned RR vs actual RR (execution gap).
- Drawdown Sequences: Longest losing streaks, recovery time.
- Edge Decay: Is WR trending up or down over last 20 trades?
- Flag:
- Setups with WR < breakeven threshold → flag for review or removal.
- Instruments with consistent negative EV → stop trading them.
- Emotional notes correlation → do emotional trades have lower WR?
Drawdown Classification
Not all drawdowns are equal. The wrong response is more dangerous than the drawdown itself.
Class 1: Noise (Random Variance)
- Losing streak within expected statistical bounds for the system's WR.
- Test: At 60% WR, a 5-loss streak has P = 0.4^5 = 1.02%. Over 200 trades, ~2 expected.
- Response: Do nothing. Continue executing. Do NOT adjust.
Class 2: Structural (Setup Flaw)
- Losses concentrated in a specific setup, instrument, or time period.
- Test: Is the WR decline isolated to one setup type?
- Response: Quarantine the specific setup. Continue trading others.
Class 3: Thesis-Breaker (Edge Invalidation)
- Systematic WR decline across ALL setups.
- Test: Is the WR decline persistent (>30 trades)? Has market microstructure changed?
- Response: Full stop. Trigger
circuit-breaker. Paper trade. Re-validate edge.
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.
- 2mo ago First seen · 88 lines · 29 tokens per session scan A 033f48143a4d
trade-journal-analyzer is a skill published in the GitHub repository winstonkoh87/Athena-Public (620 stars, last pushed today), licensed MIT. It adds 29 tokens to every session and 852 once invoked, about $0.0001 per session on Opus 5.5. 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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