validation pipeline

Run structured validation pipelines that execute steps sequentially, enforce gates at blocking failures, and produce scored reports. Uses the src/validation/pipeline.ts framework with 13 requirements validation steps (BMAD-003).

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Install skill "validation pipeline" with this command: npx skills add proffesor-for-testing/agentic-qe/proffesor-for-testing-agentic-qe-validation-pipeline

Validation Pipeline

Purpose

Run structured validation pipelines that execute steps sequentially, enforce gates at blocking failures, and produce scored reports. Uses the src/validation/pipeline.ts framework with 13 requirements validation steps (BMAD-003).

Activation

  • When validating requirements documents

  • When running structured quality gates

  • When assessing document completeness, testability, or traceability

  • When invoked via /validation-pipeline

Quick Start

Validate a requirements document (all 13 steps)

/validation-pipeline requirements docs/requirements.md

Validate with specific steps only

/validation-pipeline requirements docs/requirements.md --steps format-check,completeness-check,invest-criteria

Continue past blocking failures

/validation-pipeline requirements docs/requirements.md --continue-on-failure

Output as JSON

/validation-pipeline requirements docs/requirements.md --json

Workflow

Step 1: Read the Target Document

Read the file specified by the user. If no file is provided, ask for one.

Read the target document using the Read tool. Store the content for pipeline execution.

Step 2: Select Pipeline

Choose the appropriate pipeline based on the user's request:

Pipeline Steps Use Case

requirements

13 Requirements documents, PRDs, user stories

Additional pipelines can be created by defining new step sets in src/validation/steps/ .

Step 3: Execute Pipeline

The pipeline framework (src/validation/pipeline.ts ) handles execution:

  • Sequential execution — steps run in order, each receiving results from prior steps

  • Gate enforcement — blocking steps that fail halt the pipeline (unless --continue-on-failure )

  • Per-step scoring — each step produces a 0-100 score with findings and evidence

  • Weighted rollup — overall score uses category weights (format=10%, content=30%, quality=25%, traceability=20%, compliance=15%)

Requirements Pipeline Steps (13 total)

Step ID Category Severity What It Checks

1 format-check

format blocking Headings, required sections, document length

2 completeness-check

content blocking Required fields populated, acceptance criteria present

3 invest-criteria

quality warning Independent, Negotiable, Valuable, Estimable, Small, Testable

4 smart-acceptance

quality warning Specific, Measurable, Achievable, Relevant, Time-bound

5 testability-score

quality warning Can each requirement be tested?

6 vague-term-detection

content info Flags "should", "might", "various", "etc."

7 information-density

content info Every sentence carries weight, no filler

8 traceability-check

traceability warning Requirements-to-tests mapping exists

9 implementation-leakage

quality warning Requirements don't prescribe implementation

10 domain-compliance

compliance info Alignment with domain model

11 dependency-analysis

traceability info Cross-requirement dependencies identified

12 bdd-scenario-generation

quality warning Can generate Given/When/Then for each requirement

13 holistic-quality

compliance blocking Overall coherence, no contradictions

Step 4: Report Results

Format the pipeline result as a structured report:

Validation Report: Requirements Pipeline

Overall: PASS/FAIL/WARN | Score: 85/100 | Duration: 42ms

Step Results

#StepStatusScoreFindingsDuration
1Format CheckPASS10002ms
2CompletenessWARN6025ms
...

Blockers

  • (blocking findings listed here)

All Findings

  • [HIGH] Missing acceptance criteria: Requirement US-104 has no AC
  • [MEDIUM] Vague term: "should" used 5 times without specifics ...

Step 5: Record Learning

After pipeline execution, record the outcome for learning:

// Store validation pattern memory store --namespace validation-pipeline --key "req-validation-{timestamp}" --value "{score, findings_count, halted}"

Parameters

Parameter Type Default Description

pipeline

string requirements

Pipeline type to run

file

string required Path to document to validate

--steps

string[] all Specific step IDs to run

--continue-on-failure

boolean false Skip blocking gates

--json

boolean false Output as JSON instead of markdown

--metadata

object {} Additional context for steps

Integration Points

  • qe-requirements-validator agent — delegates structured validation to this pipeline

  • qe-quality-gate agent — uses pipeline for gate evaluation

  • YAML Pipelines — can invoke validation steps as workflow actions

  • MCP — accessible via pipeline_validate tool

Output Schema

The pipeline produces a PipelineResult object (see schemas/output.json ):

{ pipelineId: string; pipelineName: string; overall: 'pass' | 'fail' | 'warn'; score: number; // 0-100 weighted average steps: StepResult[]; // per-step details blockers: Finding[]; // blocking findings halted: boolean; haltedAt?: string; // step ID where halted totalDuration: number; timestamp: string; }

Error Handling

  • Step throws exception — captured as a FAIL with critical finding, pipeline continues or halts per severity

  • File not found — report error, do not run pipeline

  • Empty document — format-check step will catch this as a blocking failure

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