/install auto-parts-quality
Auto Parts Quality Analysis
Core Workflow
1. Quality Issue Analysis
When analyzing quality issues, follow this structure:
A. Problem Definition
- Part name, part number, supplier
- Symptom description (field failure, customer complaint, in-process defect)
- Failure rate / population affected
- Timeline (when discovered, volume shipped)
B. Evidence Collection
- Photos / microscope images
- Measurement data (dimensional, roughness, hardness)
- Cleanliness analysis results (particle size, composition)
- Test reports (8D, PPAP, material certs)
C. Failure Mode Identification
- Surface failure (honing pattern, wear, scoring)
- Dimensional failure (out of tolerance)
- Material failure (crack, corrosion, contamination)
- Assembly failure (mating, sealing)
D. Root Cause Analysis
- Use 5-Why or Fishbone diagram logic
- Distinguish internal vs external causes
- Check for process drift vs sudden change
- Verify with data (SPC, correlation analysis)
E. Countermeasures & Verification
- Short-term containment (sorting, 100% inspection)
- Long-term corrective action (process change, design change)
- Effectiveness verification (pilot run, SPC monitoring)
- Closure criteria definition
2. 8D Report Review Checklist
When reviewing 8D reports from suppliers:
| Section | What to Check |
|---|---|
| D1 | Team formed, problem severity acknowledged |
| D2 | Problem description with data (quantity, affected lots) |
| D3 | Interim containment actions (sorting, 100% audit) |
| D4 | Root cause identification (why-level 5, verified with data) |
| D5 | Permanent corrective actions selected |
| D6 | Implementation & verification plan |
| D7 | Prevent recurrence (FMEA update, control plan revision) |
| D8 | Team recognition & lessons learned |
Red flags:
- Root cause stated as "human error" without systemic fix
- Countermeasures not linked to root cause
- No data supporting root cause conclusion
- No effectiveness verification plan
3. Key Automotive Quality Metrics
| Metric | Formula | Threshold |
|---|---|---|
| PPM | Defects per million | \x3C 100 PPM typical |
| CPK | Process capability index | ≥ 1.33 acceptable |
| DPMO | Defects per million opportunities | Track trending |
| Lot reject rate | Rejected lots / total lots | \x3C 1% target |
4. Common Failure Modes for HPFP/Fuel System Parts
Seizure/Jamming:
- Insufficient honing pattern (RVK too shallow, angle wrong)
- Lubrication failure (oil starvation, contamination)
- Thermal overload (clearance too tight)
- Material mismatch (surface hardness)
Internal Leakage:
- Valve seat damage (contamination, wear)
- Spring failure (fatigue, corrosion)
- Foreign material embedded in sealing surfaces
External Leakage:
- Seal damage (installation damage, aging)
- Connector fitting issues (thread debris, torque)
- Housing crack (stress concentration)
Performance Degradation:
- Pressure drop (restricted flow, pump wear)
- Noise/vibration (bearing failure, cavitation)
- Calibration drift (sensor issues, contamination)
5. Supplier Quality Assessment
When evaluating supplier capability:
| Area | Assessment Points |
|---|---|
| Process Control | SPC data availability, Cpk levels, control plan existence |
| Measurement System | MSA results, gauge R&R, calibration records |
| PPAP Level | Documentation completeness (typically Level 3) |
| FMEA | Current version, action prioritization (RPN threshold) |
| Cleanliness | In-process cleaning, particle control, packaging |
| Traceability | Lot tracking, raw material certs, process parameters |
6. Report Structure for Quality Analysis
When presenting quality analysis results:
## 质量分析报告
### 1. 问题概述
- 零件信息
- 问题现象
- 影响范围
### 2. 根本原因分析
- 证据链
- 5-Why分析
- 原因验证
### 3. 改善对策
- 短期措施(围堵)
- 长期措施(纠正)
- 实施计划
### 4. 验证结果
- 改善效果
- 后续跟进
### 5. 行动项
| 行动项 | 负责人 | 截止日期 |
|--------|--------|----------|
Reference Files
- references/qc-tools.md - SPC, MSA, FMEA templates and guidelines
- references/failure-modes.md - Detailed failure mode library for fuel system components
Load reference files only when specific detailed guidance is needed.
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install auto-parts-quality - After installation, invoke the skill by name or use
/auto-parts-quality - Provide required inputs per the skill's parameter spec and get structured output
What is Auto Parts Quality Analysis?
Senior automotive parts quality analysis expert skill. Use when analyzing quality issues, failure modes, 8D reports, SPC data, PPAP documents, or any automot... It is an AI Agent Skill for Claude Code / OpenClaw, with 88 downloads so far.
How do I install Auto Parts Quality Analysis?
Run "/install auto-parts-quality" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Auto Parts Quality Analysis free?
Yes, Auto Parts Quality Analysis is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Auto Parts Quality Analysis support?
Auto Parts Quality Analysis is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Auto Parts Quality Analysis?
It is built and maintained by zxw8309 (@zxw8309); the current version is v1.0.0.