CtrlK
BlogDocsLog inGet started
Tessl Logo

csv-data-summarizer

交易日志 CSV 数据分析工具。自动分析交易记录 CSV 文件,计算胜率、盈亏比、最大回撤、Sharpe Ratio 等量化指标并生成可视化报告。当需要分析交易绩效、优化策略参数或生成交易报告时使用此 Skill。

Install with Tessl CLI

npx tessl i github:Lingjie-chen/MT5 --skill csv-data-summarizer
What are skills?

74

1.20x

Quality

61%

Does it follow best practices?

Impact

94%

1.20x

Average score across 3 eval scenarios

Optimize this skill with Tessl

npx tessl skill review --optimize ./.trae/skills/csv-data-summarizer/SKILL.md
SKILL.md
Review
Evals

Evaluation results

98%

23%

January 2025 Trading Performance Review

MT5 CSV basic metrics and report template

Criteria
Without context
With context

Win Rate formula

100%

100%

Profit Factor formula

100%

100%

Avg R:R formula

20%

100%

Expectancy formula

50%

100%

Overview section

100%

80%

Core Metrics table

50%

100%

Metric ratings

30%

100%

Symbol Performance section

100%

100%

Improvement Suggestions section

100%

100%

Visual output

100%

100%

Without context: $0.5802 · 2m 33s · 18 turns · 137 in / 9,457 out tokens

With context: $0.8155 · 3m 34s · 26 turns · 227 in / 13,033 out tokens

95%

19%

Strategy Risk Assessment for Institutional Compliance Review

Risk control and advanced performance metrics

Criteria
Without context
With context

Max DD formula

100%

100%

Max DD Duration

70%

100%

Max Consecutive Losses

100%

100%

Max Single Loss

0%

100%

Sharpe Ratio formula

100%

100%

Sortino downside deviation

100%

58%

Calmar Ratio formula

100%

100%

Recovery Factor formula

0%

100%

Rating thresholds

100%

100%

Core Metrics table

70%

100%

Without context: $0.7543 · 3m 34s · 17 turns · 137 in / 14,923 out tokens

With context: $1.2266 · 5m 27s · 28 turns · 209 in / 21,214 out tokens

90%

5%

Multi-Strategy Trading Performance Breakdown

Multi-dimensional custom CSV analysis

Criteria
Without context
With context

Custom format parsed

100%

100%

Per-symbol win rate

100%

100%

Per-symbol profit factor

0%

100%

Per-symbol profit contribution

100%

100%

Best and worst trade per symbol

0%

0%

ORB vs Grid comparison

100%

100%

Risk Tier breakdown

100%

100%

Time period aggregation

100%

100%

Trading frequency trend

100%

100%

Improvement Suggestions

100%

100%

Without context: $0.4320 · 1m 55s · 13 turns · 146 in / 7,674 out tokens

With context: $0.6127 · 2m 43s · 17 turns · 114 in / 11,137 out tokens

Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.