8D Report Analyzer for Openclaw

Openclaw Skills turns 8D reports into a structured quality audit, scoring D1-D8 and surfacing root-cause, containment, and action-plan gaps.

duding-engicool
v0.1.0
Jul 16, 2026
0
412
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install skill-8d-report-analyzer

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install skill-8d-report-analyzer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is 8D Report Analyzer?

8D Report Analyzer in Openclaw Skills is a structured review workflow for supplier, internal, or pasted 8D reports. It parses Word, PDF, or Excel inputs, cleans the content, and requires user confirmation before any judgment is made.

After validation, it evaluates every stage from D1 to D8, with special attention to D4 root-cause analysis, D3 containment effectiveness, and D5-D6 corrective and preventive action logic. The result is a practical quality review that highlights missing evidence, weak causality, and specific improvement actions.

8D Report Analyzer Use Cases

  • Supplier 8D report review for SQE and quality engineering teams.
  • Internal 8D audits against company quality standards and escalation rules.
  • Coaching or training sessions where pasted 8D text must be reviewed without running the parser.
  • Deep scrutiny of D4 root-cause analysis using 5 Why, fishbone, FMEA, or fault-tree logic.
  • Verification that corrective actions, preventive actions, and document updates are complete and traceable.
  • Closing reviews that need a defensible summary rating and prioritized recommendations.

How 8D Report Analyzer Works

  1. Ingest the 8D report from a Word, PDF, or Excel file, or analyze pasted text directly when a parser is not needed.
  2. Parse and normalize the document into structured content, remove headers, footers, numbering noise, and detect D1-D8 section titles.
  3. Present the cleaned full text to the user and require explicit confirmation before moving into quality judgment.
  4. Run step-by-step evaluation against the 8D criteria, with emphasis on D4 root-cause rigor, D3 containment, D5-D6 actions, and D7 document revision control.
  5. Compile the findings into a structured review with per-step ratings, key issues, improvement recommendations, and an overall conclusion.
  6. Use Openclaw Skills to produce a decision-ready quality assessment that can be shared with SQE, manufacturing, or suppliers.

8D Report Analyzer Setup

  • Save the 8D report in the current working directory before analysis.
  • Install the required parsing dependencies:
pip install python-docx PyPDF2 openpyxl
  • Parse the file with the matching format flag:
python scripts/parse_document.py --file report.docx --format docx
python scripts/parse_document.py --file report.pdf --format pdf
python scripts/parse_document.py --file report.xlsx --format xlsx
  • Review the extracted text carefully and confirm it matches the original report before starting the deep analysis phase.
  • Keep references/8d-criteria.md available as the scoring and review baseline for Openclaw Skills.

8D Report Analyzer Data Schema & Taxonomy

Input and output model

Layer Description Notes
Source document .docx, .pdf, or .xlsx report file Must exist in the current working directory
Parsed content JSON-formatted structured text output Produced by scripts/parse_document.py
Cleaned sections D1-D8 normalized blocks Detects variants such as Step 1 / Stage 1
Review output Markdown-style evaluation report Includes findings, recommendations, and conclusion

Metadata taxonomy

  • Document metadata: file name, source format, and full extracted text.
  • Section metadata: normalized step labels for D1 through D8.
  • Quality metadata: completeness, logic, evidence, responsibility, verification, and closure.
  • Review metadata: overall assessment, per-step evaluation, key recommendations, and final rating.

Generated artifacts

  • Parsed JSON for downstream processing and traceability.
  • A structured review template that mirrors the 8D lifecycle.
  • Reference-aligned judgments using references/8d-criteria.md as the benchmark.

Step mapping

  • D1: team setup and ownership
  • D2: problem definition and quantification
  • D3: containment actions and effectiveness
  • D4: root-cause analysis and validation
  • D5: permanent corrective actions
  • D6: preventive actions and verification
  • D7: lesson learned and document updates
  • D8: team recognition and closure

8D Report Analyzer Advanced Features

  • Mandatory confirmation gate before stage-two analysis, reducing false judgments and transcription errors.
  • Multi-format ingestion for Word, PDF, and Excel, plus a pasted-text fallback for training or ad hoc reviews.
  • Deep D4 auditing that checks whether the analysis reaches technical or management-level causes instead of stopping at symptoms.
  • Logic checks that separate correction from prevention, and verify whether the causal chain is actually supported.
  • Document revision cross-checks for CP, FMEA, SIP, work instructions, and inspection standards in D7.
  • Built-in attention to containment effectiveness, verification methods, and whether actions are truly closed.
  • Reference-based grading with the TRACE rubric, making Openclaw Skills useful for consistent quality benchmarking across reviews.

SKILL.md


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