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debug-with-file使用文件进行调试

Agent Skill

debug-with-file 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。

总安装

1,490

周安装

64

GitHub Stars

1,901

下载量

522
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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-with-file(使用文件进行调试)
来源仓库:https://github.com/catlog22/claude-code-workflow
仓库路径:skills/debug-with-file
安装命令:
npx skills add https://github.com/catlog22/claude-code-workflow --skill debug-with-file
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/catlog22/claude-code-workflow --skill debug-with-file

简介

增强型证据驱动调试,通过文档化探索过程纠正误解并保留学习成果。

  • 适用于理解演化轨迹不清晰的遗留代码或复杂业务逻辑梳理。
  • 强制要求记录每一步假设与验证结果形成可追溯的分析链条。
  • 分析完成后自动简化已被证伪的理解模型防止未来重复错误。
  • debug-with-file 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Codex Debug-With-File Prompt

Overview

Enhanced evidence-based debugging with documented exploration process. Records understanding evolution, consolidates insights, and uses analysis to correct misunderstandings.

Core workflow: Explore → Document → Log → Analyze → Correct Understanding → Fix → Verify

Key enhancements over /prompts:debug:

  • understanding.md: Timeline of exploration and learning
  • Analysis-assisted correction: Validates and corrects hypotheses
  • Consolidation: Simplifies proven-wrong understanding to avoid clutter
  • Learning retention: Preserves what was learned, even from failed attempts

Target Bug

$BUG

Project Context

Run ccw spec load --category debug for known issues, workarounds, and root-cause notes.

Execution Process

Session Detection:
   ├─ Check if debug session exists for this bug
   ├─ EXISTS + understanding.md exists → Continue mode
   └─ NOT_FOUND → Explore mode

Explore Mode:
   ├─ Locate error source in codebase
   ├─ Document initial understanding in understanding.md
   ├─ Generate testable hypotheses with analysis validation
   ├─ Add NDJSON logging instrumentation
   └─ Output: Hypothesis list + await user reproduction

Analyze Mode:
   ├─ Parse debug.log, validate each hypothesis
   ├─ Use analysis to evaluate hypotheses and correct understanding
   ├─ Update understanding.md with:
   │   ├─ New evidence
   │   ├─ Corrected misunderstandings (strikethrough + correction)
   │   └─ Consolidated current understanding
   └─ Decision:
       ├─ Confirmed → Fix root cause
       ├─ Inconclusive → Add more logging, iterate
       └─ All rejected → Assisted new hypotheses

Fix & Cleanup:
   ├─ Apply fix based on confirmed hypothesis
   ├─ User verifies
   ├─ Document final understanding + lessons learned
   ├─ Remove debug instrumentation
   └─ If not fixed → Return to Analyze mode

Implementation Details

Session Setup & Mode Detection

Step 0: Determine Project Root

检测项目根目录,确保 .workflow/ 产物位置正确:

PROJECT_ROOT=$(git rev-parse --show-toplevel 2>/dev/null || pwd)

优先通过 git 获取仓库根目录;非 git 项目回退到 pwd 取当前绝对路径。 存储为 {projectRoot},后续所有 .workflow/ 路径必须以此为前缀。

const getUtc8ISOString = () => new Date(Date.now() + 8 * 60 * 60 * 1000).toISOString()
const projectRoot = bash('git rev-parse --show-toplevel 2>/dev/null || pwd').trim()

const bugSlug = "$BUG".toLowerCase().replace(/[^a-z0-9]+/g, '-').substring(0, 30)
const dateStr = getUtc8ISOString().substring(0, 10)

const sessionId = `DBG-${dateStr}-${bugSlug}`
const sessionFolder = `${projectRoot}/.workflow/.debug/${sessionId}`
const debugLogPath = `${sessionFolder}/debug.log`
const understandingPath = `${sessionFolder}/understanding.md`
const hypothesesPath = `${sessionFolder}/hypotheses.json`

// Auto-detect mode
const sessionExists = fs.existsSync(sessionFolder)
const hasUnderstanding = sessionExists && fs.existsSync(understandingPath)
const logHasContent = sessionExists && fs.existsSync(debugLogPath) && fs.statSync(debugLogPath).size > 0

const mode = logHasContent ? 'analyze' : (hasUnderstanding ? 'continue' : 'explore')

if (!sessionExists) {
  bash(`mkdir -p ${sessionFolder}`)
}

Explore Mode

Step 1.1: Locate Error Source

// Extract keywords from bug description
const keywords = extractErrorKeywords("$BUG")

// Search codebase for error locations
const searchResults = []
for (const keyword of keywords) {
  const results = Grep({ pattern: keyword, path: ".", output_mode: "content", "-C": 3 })
  searchResults.push({ keyword, results })
}

// Identify affected files and functions
const affectedLocations = analyzeSearchResults(searchResults)

Step 1.2: Document Initial Understanding

Create understanding.md:

# Understanding Document

**Session ID**: ${sessionId}
**Bug Description**: $BUG
**Started**: ${getUtc8ISOString()}

---

## Exploration Timeline

### Iteration 1 - Initial Exploration (${timestamp})

#### Current Understanding

Based on bug description and initial code search:

- Error pattern: ${errorPattern}
- Affected areas: ${affectedLocations.map(l => l.file).join(', ')}
- Initial hypothesis: ${initialThoughts}

#### Evidence from Code Search

${searchResults.map(r => `
**Keyword: "${r.keyword}"**
- Found in: ${r.results.files.join(', ')}
- Key findings: ${r.insights}
`).join('\n')}

#### Next Steps

- Generate testable hypotheses
- Add instrumentation
- Await reproduction

---

## Current Consolidated Understanding

${initialConsolidatedUnderstanding}

Step 1.3: Generate Hypotheses

Analyze the bug and generate 3-5 testable hypotheses:

// Hypothesis generation based on error pattern
const HYPOTHESIS_PATTERNS = {
  "not found|missing|undefined|未找到": "data_mismatch",
  "0|empty|zero|registered": "logic_error",
  "timeout|connection|sync": "integration_issue",
  "type|format|parse": "type_mismatch"
}

function generateHypotheses(bugDescription, affectedLocations) {
  // Generate targeted hypotheses based on error analysis
  // Each hypothesis includes:
  // - id: H1, H2, ...
  // - description: What might be wrong
  // - testable_condition: What to log
  // - logging_point: Where to add instrumentation
  // - evidence_criteria: What confirms/rejects it
  return hypotheses
}

Save to hypotheses.json:

{
  "iteration": 1,
  "timestamp": "2025-01-21T10:00:00+08:00",
  "hypotheses": [
    {
      "id": "H1",
      "description": "Data structure mismatch - expected key not present",
      "testable_condition": "Check if target key exists in dict",
      "logging_point": "file.py:func:42",
      "evidence_criteria": {
        "confirm": "data shows missing key",
        "reject": "key exists with valid value"
      },
      "likelihood": 1,
      "status": "pending"
    }
  ]
}

Step 1.4: Add NDJSON Instrumentation

For each hypothesis, add logging at the specified location:

Python template:

# region debug [H{n}]
try:
    import json, time
    _dbg = {
        "sid": "{sessionId}",
        "hid": "H{n}",
        "loc": "{file}:{line}",
        "msg": "{testable_condition}",
        "data": {
            # Capture relevant values here
        },
        "ts": int(time.time() * 1000)
    }
    with open(r"{debugLogPath}", "a", encoding="utf-8") as _f:
        _f.write(json.dumps(_dbg, ensure_ascii=False) + "\n")
except: pass
# endregion

JavaScript/TypeScript template:

// region debug [H{n}]
try {
  require('fs').appendFileSync("{debugLogPath}", JSON.stringify({
    sid: "{sessionId}",
    hid: "H{n}",
    loc: "{file}:{line}",
    msg: "{testable_condition}",
    data: { /* Capture relevant values */ },
    ts: Date.now()
  }) + "\n");
} catch(_) {}
// endregion

Step 1.5: Output to User

## Hypotheses Generated

Based on error "$BUG", generated {n} hypotheses:

{hypotheses.map(h => `
### ${h.id}: ${h.description}
- Logging at: ${h.logging_point}
- Testing: ${h.testable_condition}
- Evidence to confirm: ${h.evidence_criteria.confirm}
- Evidence to reject: ${h.evidence_criteria.reject}
`).join('')}

**Debug log**: ${debugLogPath}

**Next**: Run reproduction steps, then come back for analysis.

Analyze Mode

Step 2.1: Parse Debug Log

// Parse NDJSON log
const entries = Read(debugLogPath).split('\n')
  .filter(l => l.trim())
  .map(l => JSON.parse(l))

// Group by hypothesis
const byHypothesis = groupBy(entries, 'hid')

// Validate each hypothesis
for (const [hid, logs] of Object.entries(byHypothesis)) {
  const hypothesis = hypotheses.find(h => h.id === hid)
  const latestLog = logs[logs.length - 1]

  // Check if evidence confirms or rejects hypothesis
  const verdict = evaluateEvidence(hypothesis, latestLog.data)
  // Returns: 'confirmed' | 'rejected' | 'inconclusive'
}

Step 2.2: Analyze Evidence and Correct Understanding

Review the debug log and evaluate each hypothesis:

  1. Parse all log entries
  2. Group by hypothesis ID
  3. Compare evidence against expected criteria
  4. Determine verdict: confirmed | rejected | inconclusive
  5. Identify incorrect assumptions from previous understanding
  6. Generate corrections

Step 2.3: Update Understanding with Corrections

Append new iteration to understanding.md:

### Iteration ${n} - Evidence Analysis (${timestamp})

#### Log Analysis Results

${results.map(r => `
**${r.id}**: ${r.verdict.toUpperCase()}
- Evidence: ${JSON.stringify(r.evidence)}
- Reasoning: ${r.reason}
`).join('\n')}

#### Corrected Understanding

Previous misunderstandings identified and corrected:

${corrections.map(c => `
- ~~${c.wrong}~~ → ${c.corrected}
  - Why wrong: ${c.reason}
  - Evidence: ${c.evidence}
`).join('\n')}

#### New Insights

${newInsights.join('\n- ')}

${confirmedHypothesis ? `
#### Root Cause Identified

**${confirmedHypothesis.id}**: ${confirmedHypothesis.description}

Evidence supporting this conclusion:
${confirmedHypothesis.supportingEvidence}
` : `
#### Next Steps

${nextSteps}
`}

---

## Current Consolidated Understanding (Updated)

${consolidatedUnderstanding}

Step 2.4: Update hypotheses.json

{
  "iteration": 2,
  "timestamp": "2025-01-21T10:15:00+08:00",
  "hypotheses": [
    {
      "id": "H1",
      "status": "rejected",
      "verdict_reason": "Evidence shows key exists with valid value",
      "evidence": {...}
    },
    {
      "id": "H2",
      "status": "confirmed",
      "verdict_reason": "Log data confirms timing issue",
      "evidence": {...}
    }
  ],
  "corrections": [
    {
      "wrong_assumption": "...",
      "corrected_to": "...",
      "reason": "..."
    }
  ]
}

Fix & Verification

Step 3.1: Apply Fix

Based on confirmed hypothesis, implement the fix in the affected files.

Step 3.2: Document Resolution

Append to understanding.md:

### Iteration ${n} - Resolution (${timestamp})

#### Fix Applied

- Modified files: ${modifiedFiles.join(', ')}
- Fix description: ${fixDescription}
- Root cause addressed: ${rootCause}

#### Verification Results

${verificationResults}

#### Lessons Learned

What we learned from this debugging session:

1. ${lesson1}
2. ${lesson2}
3. ${lesson3}

#### Key Insights for Future

- ${insight1}
- ${insight2}

Step 3.3: Cleanup

Remove debug instrumentation by searching for region markers:

const instrumentedFiles = Grep({
  pattern: "# region debug|// region debug",
  output_mode: "files_with_matches"
})

for (const file of instrumentedFiles) {
  // Remove content between region markers
  removeDebugRegions(file)
}

Session Folder Structure

{projectRoot}/.workflow/.debug/DBG-{date}-{slug}/
├── debug.log           # NDJSON log (execution evidence)
├── understanding.md    # Exploration timeline + consolidated understanding
└── hypotheses.json     # Hypothesis history with verdicts

Understanding Document Template

# Understanding Document

**Session ID**: DBG-xxx-2025-01-21
**Bug Description**: [original description]
**Started**: 2025-01-21T10:00:00+08:00

---

## Exploration Timeline

### Iteration 1 - Initial Exploration (2025-01-21 10:00)

#### Current Understanding
...

#### Evidence from Code Search
...

#### Hypotheses Generated
...

### Iteration 2 - Evidence Analysis (2025-01-21 10:15)

#### Log Analysis Results
...

#### Corrected Understanding
- ~~[wrong]~~ → [corrected]

#### Analysis Results
...

---

## Current Consolidated Understanding

### What We Know
- [valid understanding points]

### What Was Disproven
- ~~[disproven assumptions]~~

### Current Investigation Focus
[current focus]

### Remaining Questions
- [open questions]

Debug Log Format (NDJSON)

Each line is a JSON object:

{"sid":"DBG-xxx-2025-01-21","hid":"H1","loc":"file.py:func:42","msg":"Check dict keys","data":{"keys":["a","b"],"target":"c","found":false},"ts":1734567890123}
FieldDescription
sidSession ID
hidHypothesis ID (H1, H2,...)
locCode location
msgWhat's being tested
dataCaptured values
tsTimestamp (ms)

Iteration Flow

First Call (BUG="error"):
   ├─ No session exists → Explore mode
   ├─ Extract error keywords, search codebase
   ├─ Document initial understanding in understanding.md
   ├─ Generate hypotheses
   ├─ Add logging instrumentation
   └─ Await user reproduction

After Reproduction (BUG="error"):
   ├─ Session exists + debug.log has content → Analyze mode
   ├─ Parse log, evaluate hypotheses
   ├─ Update understanding.md with:
   │   ├─ Evidence analysis results
   │   ├─ Corrected misunderstandings (strikethrough)
   │   ├─ New insights
   │   └─ Updated consolidated understanding
   ├─ Update hypotheses.json with verdicts
   └─ Decision:
       ├─ Confirmed → Fix → Document resolution
       ├─ Inconclusive → Add logging, document next steps
       └─ All rejected → Assisted new hypotheses

Output:
   ├─ {projectRoot}/.workflow/.debug/DBG-{date}-{slug}/debug.log
   ├─ {projectRoot}/.workflow/.debug/DBG-{date}-{slug}/understanding.md (evolving document)
   └─ {projectRoot}/.workflow/.debug/DBG-{date}-{slug}/hypotheses.json (history)

Error Handling

SituationAction
Empty debug.logVerify reproduction triggered the code path
All hypotheses rejectedGenerate new hypotheses based on disproven assumptions
Fix doesn't workDocument failed fix attempt, iterate with refined understanding
>5 iterationsReview consolidated understanding, escalate with full context
Understanding too longConsolidate aggressively, archive old iterations to separate file

Consolidation Rules

When updating "Current Consolidated Understanding":

  1. Simplify disproven items: Move to "What Was Disproven" with single-line summary
  2. Keep valid insights: Promote confirmed findings to "What We Know"
  3. Avoid duplication: Don't repeat timeline details in consolidated section
  4. Focus on current state: What do we know NOW, not the journey
  5. Preserve key corrections: Keep important wrong→right transformations for learning

Bad (cluttered):

## Current Consolidated Understanding

In iteration 1 we thought X, but in iteration 2 we found Y, then in iteration 3...
Also we checked A and found B, and then we checked C...

Good (consolidated):

## Current Consolidated Understanding

### What We Know
- Error occurs during runtime update, not initialization
- Config value is None (not missing key)

### What Was Disproven
- ~~Initialization error~~ (Timing evidence)
- ~~Missing key hypothesis~~ (Key exists)

### Current Investigation Focus
Why is config value None during update?

Key Features

FeatureDescription
NDJSON loggingStructured debug log with hypothesis tracking
Hypothesis generationAnalysis-assisted hypothesis creation
Exploration documentationunderstanding.md with timeline
Understanding evolutionTimeline + corrections tracking
Error correctionStrikethrough + reasoning for wrong assumptions
Consolidated learningCurrent understanding section
Hypothesis historyhypotheses.json with verdicts
Analysis validationAt key decision points

When to Use

Best suited for:

  • Complex bugs requiring multiple investigation rounds
  • Learning from debugging process is valuable
  • Team needs to understand debugging rationale
  • Bug might recur, documentation helps prevention

Now execute the debug-with-file workflow for bug: $BUG

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

33.03%
按下载量换算172

Claude

32.59%
按下载量换算170

Cursor

16.94%
按下载量换算88

Gemini CLI

8.55%
按下载量换算45

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

权限需确认

当前来源未能明确判断权限范围,默认进入异常复核队列。

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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