cross-validate-artifacts

name	cross-validate-artifacts
description	Cross-validate documentation and artifacts across the codebase for consistency, conflicts, and contradictions. Use when users ask to "cross-validate", "validate docs", "check documentation consistency", "audit documentation", or find conflicts/contradictions in docs. Supports automatic fixing with "validate and fix" argument. Runs parallel subagents for efficient validation across categories (domain-models, agent-system, tech-stack, architecture, cli-commands). Part of the Shep autonomous SDLC platform — https://shep.bot
metadata	{"version":"1.0.0","author":"Shep AI (https://shep.bot)","homepage":"https://shep.bot","repository":"https://github.com/shep-ai/shep"}

Cross-Validate Artifacts Skill

Cross-validate documentation and artifacts across the codebase for consistency, conflicts, and contradictions.

Trigger

Use this skill when the user:

• Asks to "cross-validate", "validate docs", "check documentation consistency"
• Wants to find conflicts or contradictions in documentation
• Asks to audit or review documentation for accuracy
• Uses /cross-validate-artifacts command

Arguments

• No arguments: Perform validation and present results summary table, then ask user if they want to fix
• validate and fix or fix: Perform validation AND automatically fix all issues found
• --category <name>: Validate specific category only (domain-models, agent-system, tech-stack, architecture, cli-commands)

Validation Process

Step 1: Identify Documentation Sources

Gather all documentation files to validate:

Root docs:
- README.md
- CLAUDE.md
- AGENTS.md
- CONTRIBUTING.md

docs/ folder:
- docs/architecture/*.md
- docs/concepts/*.md
- docs/guides/*.md
- docs/development/*.md
- docs/api/*.md

Step 2: Break Into Validation Categories

Split validation into parallel sub-tasks for efficiency. Each category should be handled by a dedicated subagent:

Category	Description	Key Files to Compare
domain-models	Entity definitions, fields, enums	CLAUDE.md, docs/api/domain-models.md, docs/concepts/*.md
agent-system	Agent names, tools, state schema, workflow	AGENTS.md, docs/architecture/agent-system.md, docs/guides/langgraph-agents.md
tech-stack	Framework versions, library references	README.md, CLAUDE.md, docs/architecture/overview.md
architecture	Layer descriptions, folder structure, patterns	CLAUDE.md, docs/architecture/*.md, CONTRIBUTING.md
cli-commands	pnpm scripts, paths, configuration	CLAUDE.md, docs/development/.md, docs/guides/.md

Step 3: Launch Parallel Subagents

CRITICAL: Use the Task tool with subagent_type=Explore to run validation categories in parallel.

Launch 5 subagents simultaneously:
1. Domain models validation subagent
2. Agent system validation subagent
3. Technology stack validation subagent
4. Architecture validation subagent
5. CLI commands validation subagent

Each subagent should:

1. Read all relevant files for its category
2. Compare definitions, names, values across files
3. Identify discrepancies with exact file:line references
4. Return structured list of issues found

Step 4: Compile Results

Aggregate all subagent results into a summary table:

## Validation Results Summary

### Critical Violations (Must Fix)

| #   | Category | Issue | Files Affected | Details |
| --- | -------- | ----- | -------------- | ------- |
| 1   | ...      | ...   | file.md:line   | ...     |

### High Priority Violations

| #   | Category | Issue | Files Affected | Details |
| --- | -------- | ----- | -------------- | ------- |

### Medium Priority Violations

...

### Consistent Items (No Issues)

| Category | Status     |
| -------- | ---------- |
| ...      | Consistent |

Step 5: Present or Fix

If no "fix" argument provided:

1. Present the summary table to the user
2. Ask: "Would you like me to fix these violations?"
3. Wait for user confirmation before proceeding

If "fix" argument provided:

1. Present the summary table
2. Automatically proceed to fix all violations using parallel subagents

Fixing Process

Launch Fix Subagents in Parallel

For each category with violations, launch a dedicated fix subagent:

Task tool with subagent_type=general-purpose for each fix task:
- Fix agent system references (CrewAI → LangGraph)
- Fix domain model definitions (add missing fields/entities)
- Fix package manager references (npm → pnpm)
- Fix architecture descriptions
- Fix path references

Each fix subagent should:

1. Read the file(s) needing fixes
2. Apply minimal, targeted edits using the Edit tool
3. Preserve existing formatting and structure
4. Report what was changed

Safety Guidelines for Fixes

1. Read before edit: Always read the full file before making changes
2. Minimal changes: Only fix the specific discrepancy, don't refactor
3. Preserve style: Match existing formatting, indentation, tone
4. No new content: Don't add features or documentation beyond fixing inconsistencies
5. Verify after fix: Ensure the fix doesn't introduce new conflicts

Validation Checks by Category

Domain Models Checks

• Entity fields match across CLAUDE.md, api/domain-models.md, concepts/*.md
• Enum values consistent (SdlcLifecycle, TaskStatus, ArtifactType)
• All entities documented (Feature, Task, ActionItem, Artifact, Requirement)
• Field types match (string, number, arrays, etc.)

Agent System Checks

• Framework name consistent (LangGraph vs CrewAI)
• Agent/node naming consistent (class names vs function names)
• State schema fields match across docs
• Tool names consistent (snake_case tool names, camelCase variables)
• Workflow stages match

Tech Stack Checks

• Framework versions specified consistently
• Library names match (Next.js, Vite, Vitest, etc.)
• Package manager consistent (pnpm everywhere)
• Database technology consistent (SQLite, LanceDB)

Architecture Checks

• Layer names and hierarchy consistent
• Folder structure matches across docs
• Dependency rules documented consistently
• Use case names match (PascalCase vs kebab-case)

CLI Commands Checks

• pnpm script names consistent
• Command descriptions match
• Data paths consistent (~/.shep/repos/...)
• Config file paths consistent
• Port numbers consistent (3030)

Example Output

## Documentation Cross-Validation Results

### Critical Violations (4 issues)

| #   | Category      | Issue               | Files              | Details                                             |
| --- | ------------- | ------------------- | ------------------ | --------------------------------------------------- |
| 1   | agent-system  | CrewAI vs LangGraph | CLAUDE.md:59,106   | Uses "CrewAI-style" but implementation is LangGraph |
| 2   | cli-commands  | npm vs pnpm         | building.md:20-358 | Uses `npm run` instead of `pnpm`                    |
| 3   | domain-models | Missing entity      | CLAUDE.md          | Requirement entity not documented                   |
| 4   | agent-system  | Wrong naming        | CLAUDE.md:110-113  | Uses class names instead of node functions          |

### Consistent Items

| Category          | Status     |
| ----------------- | ---------- |
| Database (SQLite) | Consistent |
| Build tool (Vite) | Consistent |
| Data paths        | Consistent |

---

Would you like me to fix these violations?

Notes

• Always use subagents for both validation and fixing to maximize efficiency
• Present results in clean markdown tables for readability
• Prioritize fixes by severity (Critical > High > Medium > Low)
• After fixing, optionally re-run validation to confirm all issues resolved