yicunai/pnlclaw-community/backtest-explain

Claude Code and agent skill by yicunai/pnlclaw-community

Trust tier 3
  • community
Source check pending

Checking that the SKILL.md file is still in the repository.

Analyzes backtest results in plain language, connecting metrics to what they mean for the strategy

Install

npx vskill@latest install yicunai/pnlclaw-community/backtest-explain

SKILL.md

Backtest Explanation

Description

Analyzes backtest results in plain language, connecting metrics to what they mean for the strategy.

Triggers

  • "Explain my backtest results"
  • "What does this backtest tell me?"
  • "Explain this backtest"
  • "帮我解释这个回测"

Steps

  1. Obtain the backtest run id the user cares about (or the latest completed run).
  2. Call backtest_result to load metrics, trade count, and equity context.
  3. Call explain_pnl when the discussion ties to PnL decomposition on paper accounts; otherwise focus on backtest metrics from step 2.
  4. Explain return, drawdown, Sharpe, win rate, and trade count in plain language with caveats.

Tools Used

  • backtest_result: Retrieve stored backtest output including metrics and identifiers.
  • explain_pnl: Relate profit/loss composition when comparing live paper performance to backtest expectations.

Example Interaction

User: I ran a backtest yesterday—can you explain if the drawdown is acceptable? Agent: I will pull the result with backtest_result, then walk through max drawdown, win rate, and trade count in context of your strategy goals.

Notes

  • Distinguish backtest metrics from live/paper PnL unless the user links them.

Security

  • Security scanPassed, 90 of 100Pattern checks on the skill's files.
  • Model reviewPassed

Quality evaluation

  • Task evaluationNot runNo evaluation yet. Run one in Skill Studio.

Source

Popularity

Repository stars
198
Repository forks
31
7-day trend score
26

Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.

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