菜单
Audit connected MCP servers for token overhead, redundancy, and security. Use when sessions feel slow or before adding new MCPs.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
SkillOpt-flavored offline training loop for any SKILL.md. Treats accumulated learn-rule corrections as training trajectories, proposes bounded patches via an optimizer LLM, gates each candidate against a held-out validation set built from the user's own past corrections, and ships only candidates that demonstrably improve the score. Inspired by Microsoft SkillOpt's ReflACT pipeline (rollout → reflect → aggregate → select → update → evaluate) adapted to pro-workflow's SQLite store. Use when a skill has accumulated 8+ learn-rule rows and the user wants the skill itself to get better, not just longer.
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| name | mcp-audit |
| description | Audit connected MCP servers for token overhead, redundancy, and security. Use when sessions feel slow or before adding new MCPs. |
Analyze MCP server overhead and recommend cleanup.
Use when:
Each MCP server adds ALL its tool descriptions to every API request. A server with 20 tools adds ~2K-4K tokens per request, regardless of whether you use those tools.
Check all MCP configurations:
cat .claude/settings.json 2>/dev/null | grep -A 50 "mcpServers"
cat ~/.claude/settings.json 2>/dev/null | grep -A 50 "mcpServers"
For each server, estimate token overhead:
Questions to ask:
Disable servers that:
Keep servers that:
MCP AUDIT
Active servers: [N]
Total tools: [N]
Estimated overhead: ~[N]K tokens per request
Server Analysis:
[name] — [N] tools, ~[N] tokens
Status: KEEP / DISABLE / REVIEW
Reason: [why]
Recommendations:
Disable: [list]
Keep: [list]
Review: [list]
Projected savings: ~[N]K tokens per request (~$X.XX per session)
disabledMcpjsonServers to avoid re-recommending already-disabled servers