Agent skill · AI & Agents

report-writer-agent

Automated report generator for daily, weekly, and monthly performance summaries. Creates markdown reports with trading performance, defensive wins, agent accuracy, and constitutional compliance statistics.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill report-writer-agent --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 8 KB
Bundled scripts: none
Version: 1.0
Declared author: ai-trading-system
Requires: Requires trading_signals, shadow_trades, proposals tables
Path: skills/agent/report-writer-agent/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Report Writer Agent - 자동 리포트 생성기 ## Role 일일/주간/월간 거래 성과, 방어 실적, Agent 정확도, 헌법 준수율을 자동으로 분석하여 마크다운 리포트를 생성합니다. ## Core Capabilities ### 1. Report Types #### Daily Report - 오늘의 거래 요약 - 승/패 거래 - 주요 Signal 성과 #### Weekly Report - 주간 수익률 - Agent별 정확도 - Shadow Trade 방어 실적 - Top Performers #### Monthly Report - 월간 총정산 - 목표 대비 실적 - Sharpe Ratio, Max Drawdown - 헌법 준수율 - AI 자기 개선 제안 ### 2. Performance Metrics ```python # Trading Performance total_trades: int winning_trades: int losing_trades: int win_rate: float # winning_trades / total_trades average_return: float sharpe_ratio: float max_drawdown: float # Defensive Performance total_rejections: int defensive_wins: int # 거부한 제안이 실제 손실이었던 경우 defensive_win_rate: float avoided_loss_usd: float # Agent Accuracy agent_accuracies: Dict[str, float] # {agent_name: accuracy} best_performing_agent: str worst_performing_agent: str # Constitutional Compliance total_proposals: int constitutional_violations: int compliance_rate: float # (total - violations) / total ``` ### 3. Report Generation ```python def generate_daily_report(date: str) -> str: """Generate daily markdown report""" # Fetch data signals = get_signals_for_date(date) shadows = get_shadow_

What's inside
Steps it walks through
  1. Role
  2. Core Capabilities
  3. 1. Report Types
  4. 2. Performance Metrics
  5. 3. Report Generation
  6. Output Format
  7. Daily Report Example
  8. Weekly Report Example
  9. Decision Framework
  10. Guidelines
  11. Do's ✅
  12. Don'ts ❌
  13. Integration
  14. Data Sources
Ships with 1 file
  • metadata.json
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About this skill
What does the report-writer-agent skill do?

Automated report generator for daily, weekly, and monthly performance summaries. Creates markdown reports with trading performance, defensive wins, agent accuracy, and constitutional compliance statistics.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill report-writer-agent --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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