Announce: "Using ds-verify (Phase 5) to confirm reproducibility and completion."

Contents

• The Iron Law of DS Verification
• Red Flags - STOP Immediately If You Think
• The Verification Gate
• Verification Checklist
• Reproducibility Demonstration
• Claims Requiring Evidence
• Insufficient Evidence
• Required Output Structure
• Completion Criteria

Context Monitoring

Verification Gate

Final verification with reproducibility checks and user acceptance interview.

NO COMPLETION CLAIMS WITHOUT FRESH VERIFICATION. This is not negotiable.

Load shared enforcement first. Read ${CLAUDE_SKILL_DIR}/../../references/constraints/ds-common-constraints.md for the full constraint index.

For verification phase, load these specific constraints: Read ${CLAUDE_SKILL_DIR}/../../references/constraints/ds-post-subagent-boundary.md

Load conventions for verification phase: Read ${CLAUDE_SKILL_DIR}/../../references/constraints/ds-common-conventions.md for the full convention index. Read ${CLAUDE_SKILL_DIR}/../../references/conventions/ds-assumption-over-evidence.md Read ${CLAUDE_SKILL_DIR}/../../references/conventions/ds-deferred-verification.md

Before claiming analysis is complete, you MUST:

1. RE-RUN - Execute analysis fresh (not cached results)
2. CHECK - Verify outputs match expectations
3. REPRODUCE - Confirm results are reproducible
4. ASK - Interview user about constraints and acceptance
5. Only THEN claim completion

This applies even when:

• "I just ran it"
• "Results look the same"
• "It should reproduce"
• "User seemed happy earlier"

If you catch yourself thinking "I can skip verification," STOP — you're about to deliver unverified results that waste the user's time. </EXTREMELY-IMPORTANT>

Drive-Aligned Framing

Rationalization Table

Red Flags - STOP Immediately If You Think:

Static Analysis (Constraint Check Scripts)

Before running runtime DQ checks, run the static analysis constraint check suite:

bash "${CLAUDE_SKILL_DIR}/../../scripts/check-all-ds.sh" "$(pwd)"

This runs all DS constraint check scripts (determinism, join audits, idempotency, error handling, schema contracts, standard errors, visualization integrity).

If any check FAILS: Report the failures in LEARNINGS.md. These are code quality issues in the analysis scripts that must be fixed before proceeding. Dispatch a fix subagent if needed.

If all checks PASS: Proceed to runtime DQ checks.

The Verification Gate

Checkpoint type: decision (user confirms results — cannot auto-advance)

Before making ANY completion claim:

1. RE-RUN    → Execute fresh, not from cache
2. CHECK     → Compare outputs to success criteria
3. REPRODUCE → Same inputs → same outputs
4. ASK       → User acceptance interview
5. CLAIM     → Only after steps 1-4

Skipping any step is not verification.

Visual Diagnostics for Verification

When presenting verification results to the user in the acceptance interview, generate diagnostic plots to support the decision:

Format: Inline plots in notebooks, or saved to scratch/diagnostics/ for script-based workflows. Present alongside the acceptance interview questions.

Verification Checklist

Technical Verification

Outputs Match Expectations

• All required outputs generated
• Output formats correct (files, figures, tables)
• Numbers are reasonable (sanity checks)
• Visualizations render correctly

Reproducibility Confirmed

• Ran analysis twice, got same results
• Random seeds produce consistent output
• No dependency on execution order
• Environment documented (packages, versions)

Data Integrity

• Input data unchanged
• Row counts traceable through pipeline
• No silent data loss or corruption

Trace to Requirements: For each success criterion, reference its requirement ID (e.g., "DATA-01: Panel has 50K+ firm-years — VERIFIED with df.shape output"). End-to-end traceability from SPEC.md through PLAN.md through VALIDATION.md through verification.

User Acceptance Interview

CRITICAL: Before claiming completion, conduct user interview.

Step 1: Replication Constraints

AskUserQuestion:
  question: "Were there specific methodology requirements I should have followed?"
  options:
    - label: "Yes, replicating existing analysis"
      description: "Results should match a reference"
    - label: "Yes, required methodology"
      description: "Specific methods were mandated"
    - label: "No constraints"
      description: "Methodology was flexible"

If replicating:

• Ask for reference to compare against
• Verify results match within tolerance
• Document any deviations and reasons

Step 2: Results Verification

AskUserQuestion:
  question: "Do these results answer your original question?"
  options:
    - label: "Yes, fully"
      description: "Analysis addresses the core question"
    - label: "Partially"
      description: "Some aspects addressed, others missing"
    - label: "No"
      description: "Does not answer the question"

If "Partially" or "No":

1. Ask which aspects are missing
2. Return to /ds-implement to address gaps
3. Re-run verification

Step 3: Output Format

AskUserQuestion:
  question: "Are the outputs in the format you need?"
  options:
    - label: "Yes"
      description: "Format is correct"
    - label: "Need adjustments"
      description: "Format needs modification"

Step 4: Confidence in Results

AskUserQuestion:
  question: "Do you have any concerns about the methodology or results?"
  options:
    - label: "No concerns"
      description: "Comfortable with approach and results"
    - label: "Minor concerns"
      description: "Would like clarification on some points"
    - label: "Major concerns"
      description: "Significant issues need addressing"

Reproducibility Demonstration

MANDATORY: Demonstrate reproducibility before completion.

You MUST NOT verify your own work. Spawn a fresh Task agent for reproducibility.

The implementer shares biases and sunk-cost attachment. A fresh subagent sees only the spec and outputs — it verifies without context pollution.

If you're about to re-run the analysis yourself, STOP. Dispatch a Task agent. </EXTREMELY-IMPORTANT>

Dispatch a fresh Task agent to run the reproducibility check:

All paths below are relative to this skill's base directory.

Agent(subagent_type="general-purpose",
  allowed_tools=["Read", "Glob", "Grep", "Bash(read-only)"],
  prompt="""
# Reproducibility Verification

**Tool Restrictions:** The verifier is READ-ONLY. It re-runs analyses and checks output but MUST NOT modify notebooks, scripts, or code. It MUST NOT use Write or Edit.

Verify this analysis produces consistent results from a fresh run.

## Context
- Read .planning/SPEC.md for objectives and success criteria
- Read .planning/PLAN.md for expected outputs
- Read .planning/LEARNINGS.md for pipeline documentation

## Shared Checks
Read the shared check definitions:
Read `${CLAUDE_SKILL_DIR}/../../skills/ds-implement/references/ds-checks.md` and follow its instructions.

Run checks: DQ1-DQ4, DQ6, M1, R1

## Reproducibility Protocol

### For scripts:
```python
# Run 1
result1 = run_analysis(seed=42)
hash1 = hash(str(result1))

# Run 2
result2 = run_analysis(seed=42)
hash2 = hash(str(result2))

# Verify
assert hash1 == hash2, "Results not reproducible!"
print(f"Reproducibility confirmed: {hash1} == {hash2}")

For notebooks:

jupyter nbconvert --execute --inplace notebook.ipynb
papermill notebook.ipynb output.ipynb -p seed 42

Required Checks

1. RE-RUN: Execute analysis fresh (not cached results)
2. CHECK: Verify outputs match SPEC.md success criteria
3. REPRODUCE: Same inputs → same outputs (run twice, compare hashes)
4. DATA INTEGRITY: Input data unchanged, row counts traceable

Output

Report:

• Reproducibility: PASS/FAIL (with hash comparison)
• Data quality checks: DQ1-DQ4, DQ6 results
• Spec compliance: M1 result
• Any discrepancies found """)

**Post-subagent boundary (C5):** After verification agent returns, read its report only. Do NOT read source code, notebooks, or data files yourself. If FAIL, dispatch a fresh investigation subagent.

**If Task agent reports FAIL:** Dispatch a fresh Task agent to investigate the discrepancy. Do NOT investigate yourself — that violates the post-subagent boundary (C5 from ds-common-constraints.md).

## Claims Requiring Evidence

| Claim | Required Evidence |
|-------|-------------------|
| "Analysis complete" | All success criteria verified |
| "Results reproducible" | Same output from fresh run |
| "Matches reference" | Comparison showing match |
| "Data quality handled" | Documented cleaning steps |
| "Methodology appropriate" | Assumptions checked |

## Insufficient Evidence

These do NOT count as verification:

- Previous run results (must be fresh)
- "Should be reproducible" (demonstrate it)
- Visual inspection only (quantify where possible)
- Single run (need reproducibility check)
- Skipped user acceptance (must ask)

## Required Output Structure

```markdown
## Verification Report: [Analysis Name]

### Technical Verification

#### Outputs Generated
- [ ] Output 1: [location] - verified [date/time]
- [ ] Output 2: [location] - verified [date/time]

#### Reproducibility Check
- Run 1 hash: [value]
- Run 2 hash: [value]
- Match: YES/NO

#### Environment
- Python: [version]
- Key packages: [list with versions]
- Random seed: [value]

### User Acceptance

#### Replication Check
- Constraint: [none/replicating/required methodology]
- Reference: [if applicable]
- Match status: [if applicable]

#### User Responses
- Results address question: [yes/partial/no]
- Output format acceptable: [yes/needs adjustment]
- Methodology concerns: [none/minor/major]

### Verdict

**COMPLETE** or **NEEDS WORK**

[If COMPLETE]
- All technical checks passed
- User accepted results
- Reproducibility demonstrated

[If NEEDS WORK]
- [List items requiring attention]
- Recommended next steps

Workflow Loops (If NEEDS WORK)

1. Identify which item(s) need fixing
2. Return to ds-implement with specific task(s) to fix
3. Re-run those tasks with output-first verification
4. Update LEARNINGS.md with fixes
5. Re-invoke ds-verify for fresh verification

Maximum 3 verification cycles. If issues persist after 3 rounds, escalate to user with summary of blocking issues.

Chaining instruction (if NEEDS WORK). Discover and load ds-implement: Read ${CLAUDE_SKILL_DIR}/../../skills/ds-implement/SKILL.md and follow its instructions. Then fix the identified issues and re-run verification.

Completion Criteria

Only claim COMPLETE when ALL are true:

• All success criteria from SPEC.md verified
• Results reproducible (demonstrated, not assumed)
• User confirmed results address their question
• User has no major concerns
• Outputs in acceptable format
• If replicating: results match reference

Both technical and user acceptance must pass. No shortcuts.

Workflow Complete

When user confirms all criteria are met:

Announce: "DS workflow complete. All 5 phases passed."

The /ds workflow is now finished. Offer to:

• Export results to final format
• Clean up .planning/ files
• Start a new analysis with /ds