Token导航 LogoToken导航

Agent Skill · 研究检索

debug-log-analysis(调试日志分析)

debug-log-analysis 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

debug-log-analysis 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为执行命令;许可证信息还不明确,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 51,212。

总安装 588周安装 25GitHub Stars 25下载 206核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:debug-log-analysis(调试日志分析)
来源仓库:https://github.com/oimiragieo/agent-studio
仓库路径:skills/debug-log-analysis
安装命令:
npx skills add https://github.com/oimiragieo/agent-studio --skill debug-log-analysis
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/oimiragieo/agent-studio --skill debug-log-analysis

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

从 Claude Code 会话调试日志中提取有效信号用于反思与故障复盘。适用于代理执行中断、钩子错误或任务完成但未更新状态等疑难场景。依赖 reduce-debug-log.mjs 脚本预处理原始日志数据后再进行分析。需确保 scripts 目录下存在相关工具文件且具备执行权限。

debug-log-analysis 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/debug-log-analysis

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/oimiragieo/agent-studio --skill debug-log-anal…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要执行命令,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

debug-log-analysis 怎么安装?

在终端执行 npx skills add https://github.com/oimiragieo/agent-studio --skill debug-log-analysis。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

debug-log-analysis 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

debug-log-analysis 需要什么权限?

权限级别是执行命令。安装流程涉及命令执行,可能通过 npx skills add https://github.com/oimiragieo/agent-studio --skill debug-log-analysis 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

debug-log-analysis 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

debug-log-analysis 用的人多吗?

公开数据是累计安装 588 次,近一周安装 25 次,下载 206 次,GitHub 25 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

debug-log-analysis 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。

先想清楚的地方

  • 需要执行命令,装到常用环境前要先评估影响面。
  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 不能接受 Skill 在你机器上执行命令的人。
  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
debug-log-analysis

调试日志分析 · 本页

58825执行命令未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Mode: Cognitive/Prompt-Driven — No standalone utility script; use via agent context.

Debug Log Analysis

Structured workflow for extracting actionable signal from Claude Code session debug logs. Use during reflection cycles, incident response, or when diagnosing agent failures.

When to Use

  • After any session with unexpected agent failures or stalls
  • When reflection-agent needs telemetry to contextualize task completions
  • When debugging hook errors that appear opaque in task outputs
  • When the router reports "agent completed but didn't call TaskUpdate"

Prerequisites

The scripts/reduce-debug-log.mjs script auto-detects the most recent log when no file argument is provided. It copies the log to .tmp/ and produces a reduced version there.

Step 0: Determine Analysis Mode

Two modes are available:

Auto mode (recommended): Let pnpm debug:reduce find and process the most recent log automatically.

Manual mode: Provide a specific session UUID or log file path.

Step 1: Locate and Reduce the Debug Log

IMPORTANT: Always find the most recent log dynamically. NEVER hardcode session UUIDs.

Auto mode (preferred)

# Auto-detect most recent log, copy to .tmp/, reduce in place
cd /c/dev/projects/agent-studio && node scripts/reduce-debug-log.mjs 2>&1

# The script prints:
# Auto-detected debug log: /home/user/.claude/debug/{session-uuid}.txt
# Copied to: .tmp/{session-uuid}.txt
# Original: N lines -> kept (issue-like): M -> ... -> after dedupe: K
# Output: .tmp/{session-uuid}-reduced.txt

Capture the output paths from the script output for subsequent steps.

Manual mode (when a specific session is needed)

# List recent debug logs sorted by modification time (most recent first)
ls -t "$HOME/.claude/debug/"*.txt 2>/dev/null | head -5

# Or on Windows (Git Bash):
ls -t "$USERPROFILE/.claude/debug/"*.txt 2>/dev/null | head -5

Pick the target log path, then:

# Copy to temp (never operate on the original)
mkdir -p .claude/context/tmp
cp "$HOME/.claude/debug/{session-uuid}.txt" ".claude/context/tmp/debug-session-copy.txt"

# Run reducer with explicit output path
node scripts/reduce-debug-log.mjs \
  ".claude/context/tmp/debug-session-copy.txt" \
  --output ".claude/context/tmp/debug-session-reduced.txt"

Verify reduction succeeded

# Check sizes
wc -l ".claude/context/tmp/debug-session-copy.txt"
wc -l ".claude/context/tmp/debug-session-reduced.txt"

Expected: reduced file is 1-5% of original line count (98%+ noise removed).

Step 2: Compare Original vs Reduced

Calculate what was filtered out to understand the filter quality:

ORIGINAL_LINES=$(wc -l < ".claude/context/tmp/debug-session-copy.txt")
REDUCED_LINES=$(wc -l < ".claude/context/tmp/debug-session-reduced.txt")
echo "Original: $ORIGINAL_LINES lines | Reduced: $REDUCED_LINES lines"
echo "Kept: $(echo "scale=1; $REDUCED_LINES * 100 / $ORIGINAL_LINES" | bc)%"

Note any anomalies — e.g., if reduction is less than 90%, the session had unusually many errors.

Step 3: Read Reduced Log

Read .claude/context/tmp/debug-session-reduced.txt in full.

Step 4: Categorize Error Patterns in Reduced Log

For each line in the reduced log, classify into:

CategorySignal PatternAction
Hook Block (Write)PreToolUse:Write + blockCount; find triggering agent + file path
Hook Block (TaskUpdate)PreToolUse:TaskUpdate + burstCount; find looping agent
Read MissFile does not exist or placeholder textCount; list missing files
Token OverflowFileTooLargeError or token limitCount; identify large files
Streaming StallGap > 60s between log entriesSum duration; note what preceded stall
Agent DropTaskUpdate not called or agent returned without completionList by task ID
Tool ErrorEISDIR, ENOENT, sibling tool call erroredCategorize by tool

Step 5: Cross-Reference Top Errors in Full Log

For the top 3 most frequent error categories:

  1. Grep the FULL (unreduced) log copy for the error signature
  2. Find the 10 lines before and after each occurrence
  3. Identify: which tool call triggered it, which agent was running, what it was trying to do
# Use the full copy (not the original, not the reduced)
grep -n "PreToolUse:Write" ".claude/context/tmp/debug-session-copy.txt" | head -30
grep -n "File does not exist" ".claude/context/tmp/debug-session-copy.txt" | head -30
grep -n "timeout" ".claude/context/tmp/debug-session-copy.txt" -i | head -30

Step 6: Cleanup Temp Files

After analysis, clean up the working copy (keep the reduced file for the report if needed):

rm -f ".claude/context/tmp/debug-session-copy.txt"
# Optionally keep the reduced file for reference; delete when done
# rm -f ".claude/context/tmp/debug-session-reduced.txt"

Step 7: Produce Structured Report

Write to .claude/context/reports/reflections/debug-log-analysis-{YYYY-MM-DD}.md:

<!-- Agent: reflection-agent | Skill: debug-log-analysis | Session: {YYYY-MM-DD} -->

# Debug Log Analysis — {YYYY-MM-DD}

**Source log:** {path to original log — auto-detected or provided}
**Session UUID:** {session-uuid extracted from filename}
**Log statistics:**

- Original: {N} lines / {bytes} bytes
- Reduced: {M} lines / {bytes} bytes
- Reduction ratio: {X}%
  **Analysis timestamp:** {ISO-8601}

## Error Summary

| Category           | Count | Severity | Root Cause |
| ------------------ | ----- | -------- | ---------- |
| Hook Block (Write) | N     | CRITICAL | ...        |
| Read Miss          | N     | HIGH     | ...        |
| ...                |       |          |            |

## Top 3 Deep Dives

### 1. {Most frequent error}

**Frequency:** N occurrences
**First occurrence:** line {N}, timestamp {T}
**Context:** {what the agent was doing}
**Root cause:** {why it happened}
**Fix:** {concrete recommendation}

### 2. ...

### 3. ...

## Observability Gaps Found

List any gaps where the log entry doesn't have enough info to diagnose the error.

## Recommendations

- [ ] Immediate P0: {fix}
- [ ] P1: {fix}
- [ ] P2: {fix}

Known Observability Gaps (Agent-Studio v2026-02)

These gaps exist in the current debug log format:

  1. Hook rejection body not logged — When unified-creator-guard.cjs blocks a Write, the rejection reason is not captured in the debug log. You see PreToolUse:Write blocked but not WHY.

- Workaround: Check process.stderr output separately; or read the hook source to infer the rule that fired.

  1. Agent identity missing from error lines — Error lines don't include which spawned agent caused the error.

- Workaround: Correlate timestamps with task spawn/completion entries.

  1. Read failure file path omitted — File does not exist lines don't always include the file path.

- Workaround: Look at the preceding tool call line for the attempted path.

  1. Streaming stalls unattributed — A 5+ minute stall appears as a timestamp gap with no context.

- Workaround: The tool call preceding the gap is the likely cause.

  1. No success logging — Only failures are prominent. Successful tool calls produce minimal log entries.

- Workaround: Count total tool uses from task summary metadata.

Integration with Reflection

Reflection agents should invoke this skill for HIGH-priority reflection requests:

// In reflection agent, for high-priority triggers:
if (priority === 'high' && debugLogPath) {
  Skill({ skill: 'debug-log-analysis' });
  // Include findings in reflection report
}

Iron Laws

  1. ALWAYS copy the debug log before any analysis — never operate on the original file; in-place operations corrupt the forensic artifact.
  2. NEVER report a root cause based on a single grep match — always read at least 10 lines of context before and after the match to understand what the agent was actually doing.
  3. ALWAYS run the reducer script (Step 2) before attempting to read a full debug log — unfiltered debug logs contain 98%+ noise that obscures real signals.
  4. NEVER skip the structured error report (Step 6) — an informal verbal summary is not a deliverable; the markdown report is required for reflection-agent to incorporate findings.
  5. ALWAYS write new recurring error patterns to .claude/context/memory/issues.md — patterns not written to memory will recur invisibly across sessions.

Anti-Patterns

Anti-PatternWhy It FailsCorrect Approach
Grepping the original log file directlyModifies timestamps, corrupts forensic artifact, no rollbackAlways copy first: cp debug.txt.claude/context/tmp/debug-{date}.txt
Reading the full unreduced log98%+ noise-to-signal ratio; analysis takes hours and misses patternsRun reduce-debug-log.mjs first; work from the reduced output
Reporting root cause from single grep hitSingle matches are often false positives from unrelated tool callsRead ±10 lines of context for every match before concluding root cause
Informal verbal summary instead of reportReflection agent can't parse informal summaries into memory entriesWrite the full structured markdown report to .claude/context/reports/reflections/
Skipping memory writes after analysisError patterns recur invisibly; no institutional learningWrite every new pattern to issues.md or learnings.md before task complete

Memory Protocol (MANDATORY)

After completing:

  • New error pattern found → .claude/context/memory/issues.md
  • New observability gap found → .claude/context/memory/issues.md
  • Pattern that recurs across sessions → .claude/context/memory/learnings.md
ASSUME INTERRUPTION: If it's not in memory, it didn't happen.

平台分布

Codex

37%
按下载量换算76

Claude

28.85%
按下载量换算59

Cursor

19.08%
按下载量换算39

Gemini CLI

9.09%
按下载量换算19

安全审计

Gen Agent Trust Hub

可疑

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/oimiragieo/agent-studio --skill debug-log-analysis 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

继续浏览同类 Skills