full-qa-audit

name	full-qa-audit
display_name	原始记录全量质检
description	对原始记录执行全流程质检，包含要素合规性、逻辑校验与数据合理性检查。

Skill: full-qa-audit

Description

This is a Master Orchestrator Skill designed to execute a complete Quality Assurance Pipeline on inspection projects. It coordinates three specialized sub-skills (record-amendment-audit, raw-record-vs-report-consistency, report-audit) to verify compliance, consistency, and correctness.

Input Contract

• Raw Records: One or more files (Images/PDFs) containing original inspection data.
• Report: A final inspection/appraisal report document.

Execution Workflow (Pipeline)

You must strictly follow this sequential process. Do not skip steps unless a "Stop Condition" is met.

🛑 Step 1: Raw Record Sanity Check (Foundation)

• Action: Invoke the logic of record-amendment-audit.
• Focus: Check for unassigned amendments, missing signatures, or illegible data.
• Decision Point:
  • If overall_assessment is "C (Major Non-compliance)" or worse: -> TERMINATE PIPELINE.
  • Synthesize the findings into the "step_1_result" section of the output.
  • Else: Proceed to Step 2.

🔗 Step 2: Consistency Cross-Check (Linkage)

• Action: Invoke the logic of raw-record-vs-report-consistency.
• Focus: Verify if Dates, Instrument IDs, and Record IDs match between the valid Raw Records (from Step 1) and the Report.
• Decision Point:
  • If overall_status is "fail" (e.g., mismatched instruments): -> TERMINATE PIPELINE (No need to audit a report based on wrong data).
  • Synthesize the findings into the "step_2_result" section of the output.
  • Else: Proceed to Step 3.

📝 Step 3: Report & Conclusion Audit (Final Product)

• Action: Invoke the logic of report-audit.
• Focus: Check the report's internal consistency, typos, standard compliance, and logic.
• Final Actions:
  • Synthesize the findings into the "step_3_result" section.
  • Generate the final overall_pipeline_conclusion.

Output Structure

Return a single consolidated JSON object. See output_schema.json.

Best Practices

• Context Management: When passing context to Step 2, prioritize the dates and IDs extracted in Step 1 to save effort.
• Fail Fast: Do not waste resources auditing the grammar of a report if the raw data is invalid.