bianhaifeng789-hue/context-analysis
skills-experimental/context-analysis/SKILL.md
Analyze current conversation context token distribution. Shows which tools/files are consuming the most tokens, duplicate reads, and optimization opportunities. Use when: - User asks "how much context is left" or "why is context full" - Context usage > 70% - User asks "what's taking up context" - Before compaction to understand what to keep Keywords: - "context", "tokens", "上下文", "token 分布", "context full", "context usage"
tools
Updated Apr 21, 2026
$ install --global
skillsauthnpx skillsauth add bianhaifeng789-hue/openclaw-config context-analysisInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
Security Scan Results
3 of 9 scanners reported clean
Some scanners were skipped, did not run, or reported a non-clean status. Review each row below.
3
Scanners Passed
9
Scanners in report
Clean
TrivyContainer and dependency vulnerability scanner
95%
Clean
SemgrepStatic code analysis for vulnerabilities
95%
Clean
mcp-scan (Snyk)Model Context Protocol security validation
95%
Skipped
Snyk (dep)Open source security scanning
50%
Skipped
Socket.devSupply chain security analysis
50%
Skipped
VirusTotalMulti-engine malware detection
50%
Skipped
CrowdStrikeAdvanced threat intelligence
50%
Skipped
OSV-ScannerOpen Source Vulnerability database check
50%
Skipped
OWASP Dep-Check
50%
Last scanned: Apr 21, 2026, 4:21 AM50.0s1 file scanned
SKILL.md
- name:
- context-analysis
- description:
- |
- emoji:
- 📊
- source:
- claude-code-utils
- triggers:
- [explicit-request, context-warning]
- priority:
- P1
Context Analysis
分析当前对话的 token 分布，找出优化机会。
核心逻辑（来自 Claude Code contextAnalysis.ts）
分析维度：
toolRequests: 每个工具的请求 token 数toolResults: 每个工具的结果 token 数humanMessages: 用户消息 token 数assistantMessages: 助手消息 token 数attachments: 附件 token 数duplicateFileReads: 重复读取的文件（浪费）
优化建议（contextSuggestions）
触发条件和建议：
| 条件 | 建议 | |------|------| | 上下文 > 80% | 考虑 compact | | 单个工具结果 > 15% | 该工具结果过大 | | Read 结果 > 5% | 文件读取过多 | | 记忆文件 > 5000 tokens | MEMORY.md 过大 | | 重复读取同一文件 | 缓存或减少重读 |
在 OpenClaw 中执行
通过 session_status 获取当前 token 使用情况：
当前上下文：72k/200k (36%)
详细分析需要检查对话历史中的工具调用记录。
输出格式
📊 上下文分析
总计：72k tokens (36%)
工具结果占用：
- exec: 45k (62%)
- read: 12k (17%)
- memory_search: 3k (4%)
⚠️ 建议：
- exec 结果占用过多，考虑截断长输出
- 距离 compact 阈值还有 64% 空间
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