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context-report

分析當前專案的 Claude Code session 資料,產出 context 效率報告(模型用量、工具效率、委派比例、TodoWrite 使用率)。搭配 context-management.md 使用。

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zeuikli/claude-code-workspace
Dernière activité de la source
16 juin 2026 à 15:46
Langue détectée de SKILL.md
chinois
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SKILL.md
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name
context-report
description
分析當前專案的 Claude Code session 資料,產出 context 效率報告(模型用量、工具效率、委派比例、TodoWrite 使用率)。搭配 context-management.md 使用。
disable-model-invocation
true
context
fork
allowed-tools
Bash(jq:*), Bash(find:*), Bash(wc:*), Bash(du:*), Bash(sort:*), Bash(uniq:*), Bash(head:*), Bash(cat:*), Bash(basename:*), Bash(bc:*), Bash(date:*), Bash(ls:*), Bash(tr:*), Bash(grep:*), Bash(sed:*), Bash(echo:*), Bash(printf:*)
# Context Efficiency Report ## 觸發條件 - 評估一個 project 的 Claude Code 使用效率 - 做成本最佳化分析(過高 Opus 比例時) - 專案完成後的 session 回顧 - 配合 `.claude/rules/context-management.md` 做 context 壓縮決策 ## 執行腳本 執行以下 bash 腳本(適配 Claude Code 官方 `~/.claude/projects/` 路徑): ```bash #!/bin/bash CWD="${ARGUMENTS:-$(pwd)}" PROJECT_KEY=$(echo "$CWD" | sed 's|/|-|g; s|^-||') PROJECTS_BASE="$HOME/.claude/projects" PROJECT_DIR="$PROJECTS_BASE/$PROJECT_KEY" if [ ! -d "$PROJECT_DIR" ]; then echo "No session data found for: $CWD" echo "Looking in: $PROJECT_DIR" echo "Available projects:" ls "$PROJECTS_BASE" 2>/dev/null | head -10 exit 1 fi echo "╔══════════════════════════════════════════════════════════════════╗" printf "║ Context Efficiency Report: %-35s║\n" "$(basename "$CWD" | head -c 34)" echo "╚══════════════════════════════════════════════════════════════════╝" echo "Project: $CWD" echo "" # Session counts session_count=$(find "$PROJECT_DIR" -maxdepth 1 -name "*.jsonl" ! -name "agent-*.jsonl" 2>/dev/null | wc -l | tr -d ' ') agent_count=$(find "$PROJECT_DIR" -maxdepth 1 -name "agent-*.jsonl" 2>/dev/null | wc -l | tr -d ' ') echo "📁 SESSIONS" echo "────────────────────────────────────────────────────────────────────" echo "Main Sessions: $session_count" echo "Agent Sessions: $agent_count" if [ "$session_count" -gt 0 ]; then ratio=$(echo "scale=2; $agent_count / $session_count" | bc) echo "Delegation Ratio: ${ratio}:1" fi echo "" # Model usage echo "🤖 MODEL USAGE" echo "────────────────────────────────────────────────────────────────────" find "$PROJECT_DIR" -maxdepth 1 -name "*.jsonl" -size +1k -exec cat {} + 2>/dev/null | \ jq -r 'select(.message.model != null) | .message.model' 2>/dev/null | \ sort | uniq -c | sort -rn echo "" # Tool usage top 15 echo "🔧 TOOL USAGE (top 15)" echo "────────────────────────────────────────────────────────────────────" find "$PROJECT_DIR" -maxdepth 1 -name "*.jsonl" -size +1k -exec cat {} + 2>/dev/null | \ jq -r '.message.content[]? | select(.type == "tool_use") | .name' 2>/dev/null | \ sort | uniq -c | sort -rn | head -15 echo "" # Data size echo "📊 DATA SIZE" echo "────────────────────────────────────────────────────────────────────" total_size=$(du -sh "$PROJECT_DIR" 2>/dev/null | cut -f1) msg_count=$(find "$PROJECT_DIR" -maxdepth 1 -name "*.jsonl" -exec cat {} + 2>/dev/null | wc -l | tr -d ' ') echo "Total Size: $total_size" echo "Message Records: $msg_count" echo "" # Collect data once all_tools=$(find "$PROJECT_DIR" -maxdepth 1 -name "*.jsonl" -size +1k -exec cat {} + 2>/dev/null | \ jq -r '.message.content[]? | select(.type == "tool_use") | .name' 2>/dev/null) all_models=$(find "$PROJECT_DIR" -maxdepth 1 -name "*.jsonl" -size +1k -exec cat {} + 2>/dev/null | \ jq -r '.message.model // empty' 2>/dev/null) # Model counts opus=$(echo "$all_models" | grep -c "opus" || echo 0) sonnet=$(echo "$all_models" | grep -c "sonnet" || echo 0) haiku=$(echo "$all_models" | grep -c "haiku" || echo 0) model_total=$((opus + sonnet + haiku)) # Tool counts bash_count=$(echo "$all_tools" | grep -c "^Bash$" || echo 0) grep_count=$(echo "$all_tools" | grep -c "^Grep$" || echo 0) glob_count=$(echo "$all_tools" | grep -c "^Glob$" || echo 0) todo_count=$(echo "$all_tools" | grep -c "^TodoWrite$" || echo 0) # Scoring (100 pts) score=0 warnings="" # 1. Model efficiency (30 pts):Opus ≤50% = 30pts,100% Opus = 0pts if [ "$model_total" -gt 0 ]; then opus_pct=$((opus * 100 / model_total)) model_score=$((30 - (opus_pct > 50 ? (opus_pct - 50) * 30 / 50 : 0))) [ "$model_score" -lt 0 ] && model_score=0 score=$((score + model_score)) [ "$opus_pct" -gt 80 ] && warnings="${warnings}⚠️ Opus ${opus_pct}% — 探索型任務改用 Haiku\n" else opus_pct=0; model_score=15; score=$((score + 15)) fi # 2. Delegation ratio (25 pts):3:1 = 25pts if [ "$session_count" -gt 0 ]; then delegation_ratio_x100=$((agent_count * 100 / session_count)) delegation_score=$((delegation_ratio_x100 * 25 / 300)) [ "$delegation_score" -gt 25 ] && delegation_score=25 score=$((score + delegation_score)) [ "$delegation_ratio_x100" -lt 100 ] && warnings="${warnings}⚠️ 委派比例低 — 多用 subagent 隔離大型任務\n" else delegation_score=0 fi # 3. Tool efficiency (25 pts):native Grep/Glob > Bash native_search=$((grep_count + glob_count)) if [ "$bash_count" -gt 0 ]; then tool_ratio_x100=$((native_search * 100 / bash_count)) tool_score=$((tool_ratio_x100 * 25 / 50)) [ "$tool_score" -gt 25 ] && tool_score=25 score=$((score + tool_score)) [ "$tool_ratio_x100" -lt 10 ] && warnings="${warnings}⚠️ 優先用 Grep/Glob 工具而非 bash grep/find\n" else tool_score=25; score=$((score + 25)) fi # 4. TodoWrite tracking (20 pts) if [ "$msg_count" -gt 0 ]; then todo_ratio_x1000=$((todo_count * 1000 / msg_count)) todo_score=$((todo_ratio_x1000 * 20 / 50)) [ "$todo_score" -gt 20 ] && todo_score=20 score=$((score + todo_score)) [ "$todo_count" -eq 0 ] && warnings="${warnings}⚠️ 未使用 TodoWrite — 複雜任務應追蹤進度\n" else todo_score=0 fi # Output score echo "📈 EFFICIENCY SCORE" echo "────────────────────────────────────────────────────────────────────" echo "" echo " ┌─────────────────────────────────────┐" printf " │ SCORE: %3d / 100 │\n" "$score" echo " └─────────────────────────────────────┘" echo "" echo " Breakdown:" printf " Model efficiency: %2d/30 (Opus %d%%)\n" "$model_score" "$opus_pct" del_ratio=$(echo "scale=1; ($agent_count + 0.0) / ($session_count + 0.001)" | bc) printf " Task delegation: %2d/25 (ratio %s:1)\n" "$delegation_score" "$del_ratio" printf " Tool efficiency: %2d/25 (Grep+Glob: %d, Bash: %d)\n" "$tool_score" "$native_search" "$bash_count" printf " Task tracking: %2d/20 (TodoWrite: %d)\n" "$todo_score" "$todo_count" echo "" if [ -n "$warnings" ]; then echo " Warnings:" printf " $warnings" fi echo "" echo "═══════════════════════════════════════════════════════════════════" echo "Generated: $(date '+%Y-%m-%d %H:%M')" ``` ## 評分標準說明 | 維度 | 滿分 | 目標 | 說明 | |------|------|------|------| | 模型效率 | 30 | Opus ≤50% | 搜尋/探索用 Haiku,實作用 Sonnet | | 委派比例 | 25 | ≥3:1 | agent session / main session | | 工具效率 | 25 | Grep+Glob:Bash ≥50% | 優先用 native tools | | 任務追蹤 | 20 | TodoWrite 有使用 | 複雜任務應有追蹤 | ## 搭配使用 - 與 `.claude/rules/context-management.md` 對照:score <60 時觸發 Compressed 層級 - 委派比例 <1:1 時,參考 `.claude/rules/subagent-strategy.md` 調整
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