H

health

by @tw93v
4.4(120)

当Claude指令不听、行为异常、钩子故障或用户质疑token消耗时,此技能对Claude代码配置栈进行预算感知审计。它能识别配置问题并按严重性标记,帮助快速定位和解决AI系统健康问题。

ai-auditclaude-configtroubleshootingsystem-healthdevopsGitHub
安装方式
git clone https://github.com/tw93/waza.git
compare_arrows

Before / After 效果对比

1
使用前

Claude AI系统行为异常,指令不听,钩子频繁故障,且难以定位是配置问题还是其他原因,导致调试耗时且token消耗不明。

使用后

通过预算感知的六层配置审计,快速识别Claude配置栈中的问题层级和具体原因,获得清晰的修复建议,显著减少调试时间和token浪费。

SKILL.md

Health: Audit the Six-Layer Stack

Prefix your first line with 🥷 inline, not as its own paragraph.

Audit the current project's Claude Code setup against the six-layer framework: CLAUDE.md → rules → skills → hooks → subagents → verifiers

Find violations. Identify the misaligned layer. Calibrate to project complexity only.

Output language: Check in order: (1) CLAUDE.md ## Communication rule (global over local); (2) user's recent language; (3) English.

Budget posture: Start with the summary audit. Escalate automatically when the user asks for a deep, full, complete, thorough, "深入", "完整", "彻底", or "继续跑完" audit, when current project instructions or remembered user preference says to run deep health checks by default, when the project is Complex, or when the summary pass exposes a critical ambiguity that cannot be resolved locally. Otherwise do not read full conversation extracts or launch inspector subagents. Tell the user before escalating because deep health audits can consume significant token quota.

Step 0: Assess project tier

Pick one. Apply only that tier's requirements.

TierSignalWhat's expected
Simple<500 files, 1 contributor, no CICLAUDE.md only; 0-1 skills; hooks optional
Standard500-5K files, small team or CICLAUDE.md + 1-2 rules; 2-4 skills; basic hooks
Complex>5K files, multi-contributor, active CIFull six-layer setup required

Step 1: Collect data

Run the collection script in summary mode first. Do not interpret yet.

HEALTH_SCRIPT="${CLAUDE_SKILL_DIR:+$CLAUDE_SKILL_DIR/scripts/collect-data.sh}"
if [ ! -f "${HEALTH_SCRIPT:-}" ]; then
  for candidate in \
    "./skills/health/scripts/collect-data.sh" \
    "$HOME/.claude/skills/waza/skills/health/scripts/collect-data.sh" \
    "$HOME/.agents/skills/waza/skills/health/scripts/collect-data.sh" \
    "$HOME/.agents/skills/health/scripts/collect-data.sh"; do
    [ -f "$candidate" ] && HEALTH_SCRIPT="$candidate" && break
  done
fi
if [ ! -f "${HEALTH_SCRIPT:-}" ]; then
  echo "health collect-data.sh not found"
  exit 1
fi
bash "$HEALTH_SCRIPT"

Sections may show (unavailable) when tools are missing:

  • jq missing → conversation sections unavailable
  • python3 missing → MCP/hooks/allowedTools sections unavailable
  • settings.local.json absent → hooks/MCP may be unavailable (normal for global-only setups)

Treat (unavailable) as insufficient data, not a finding. Do not flag those areas.

Step 1b: MCP Live Check

Test every MCP server: call one harmless tool per server. Record live=yes/no with error detail. Respect enabled: false (skip without flagging). For API keys, only check if the env var is set (echo $VAR | head -c 5), never print full keys.

Step 2: Analyze

Confirm the tier. Then route:

  • Simple: Analyze locally. No subagents.
  • Standard: Analyze locally from the summary output. Do not launch subagents by default. If the user asks for a deep/full/thorough audit, or if local analysis cannot classify a security/control issue, escalate to deep mode and explain the likely token cost.
  • Complex, remembered deep preference, or explicit deep audit: Re-run collection with bash "$HEALTH_SCRIPT" auto deep, then launch two subagents in parallel. Redact credentials to [REDACTED].
    • Agent 1 (Context + Security): Read agents/inspector-context.md. Feed CONVERSATION SIGNALS section.
    • Agent 2 (Control + Behavior): Read agents/inspector-control.md. Feed detected tier.
  • Fallback: If a subagent fails, analyze that layer locally and note "(analyzed locally)".

Step 3: Report

Health Report: {project} ({tier} tier, {file_count} files)

[PASS] Passing checks (table, max 5 rows)

Finding format

- [severity] <symptom> ({file}:{line} if known)
  Why: <one-line reason>
  Action: <exact command or edit to fix>

Action: must be copy-pasteable. Never write "investigate X" or "consider Y". If the fix is unknown, name the diagnostic command.

[!] Critical -- fix now

Rules violated, dangerous allowedTools, MCP overhead >12.5%, security findings, leaked credentials.

Example:

  • [!] settings.local.json committed to git (exposes MCP tokens) Why: leaked token enables remote code execution via installed MCP servers Action: git rm --cached .claude/settings.local.json && echo '.claude/settings.local.json' >> .gitignore

[~] Structural -- fix soon

CLAUDE.md content in wrong layer, missing hooks, oversized descriptions, verifier gaps.

[-] Incremental -- nice to have

Outdated items, global vs local placement, context hygiene, stale allowedTools entries.


If no issues: All relevant checks passed. Nothing to fix.

Non-goals

  • Never auto-apply fixes without confirmation.
  • Never apply complex-tier checks to simple projects.

Gotchas

What happenedRule
Missed the local overrideAlways read settings.local.json too; it shadows the committed file
Subagent timeout reported as MCP failureMCP failures come from the live probe, not data collection
Reported issues in wrong languageHonor CLAUDE.md Communication rule first
Flagged intentionally noisy hook as brokenAsk before calling a hook "broken"
Hook seemed not to fire, but it did -- a later UI element rendered above itHook firing order is not visual order. Before re-editing the hook config: (a) confirm with --debug or by piping output, (b) check whether a diff dialog, permission prompt, or other UI element rendered on top and pushed the hook output offscreen, (c) only then suspect the hook itself.
/health burned too much quota on first runStay in summary mode first. Full conversation extracts and inspector subagents are deep-audit tools, not the default path for Standard projects.

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统计数据

安装量5.3K
评分4.4 / 5.0
版本
更新日期2026年5月23日
对比案例1 组

用户评分

4.4(120)
5
37%
4
43%
3
13%
2
5%
1
2%

为此 Skill 评分

0.0

兼容平台

🤖claude-code

时间线

创建2026年5月6日
最后更新2026年5月23日