sdd-fidelity-review

name	sdd-fidelity-review
description	Review implementation fidelity against specifications by comparing actual code to spec requirements. Identifies deviations, assesses impact, and generates compliance reports for tasks, phases, or entire specs.

Implementation Fidelity Review Skill

Overview

The sdd-fidelity-review skill compares actual implementation against SDD specification requirements to ensure fidelity between plan and code. It identifies deviations, assesses their impact, and generates detailed compliance reports.

Skill Family

This skill is part of the Spec-Driven Development quality assurance family:

• Skill(sdd-toolkit:sdd-plan) - Creates specifications
• Skill(sdd-toolkit:sdd-next) - Finds next tasks and creates execution plans
• Implementation - Code is written
• sdd-update-subagent - Updates progress
• Skill(sdd-toolkit:sdd-fidelity-review) (this skill) - Reviews implementation fidelity
• run-tests-subagent - Runs tests

When to Use This Skill

Use this skill when you need to:

• Verify implementation matches specification requirements
• Identify deviations between plan and actual code
• Assess task or phase completion accuracy
• Review pull requests for spec compliance
• Audit completed work for fidelity
• Document implementation variations

Do NOT use for:

• Creating specifications (use sdd-plan)
• Finding next tasks (use sdd-next)
• Updating task status (use sdd-update)
• Running tests (use run-tests)

⚠️ Long-Running Operations

This skill may run operations that take up to 5 minutes. Be patient and wait for completion.

CRITICAL: Avoid BashOutput Spam

• ALWAYS use foreground execution with 5-minute timeout: Bash(command="...", timeout=300000)
• WAIT for the command to complete - this may take the full 5 minutes
• NEVER use run_in_background=True for test suites, builds, or analysis
• If you must use background (rare), wait at least 60 seconds between BashOutput checks
• Maximum 3 BashOutput calls per background process - then kill it or let it finish

Why?

Polling BashOutput repeatedly creates spam and degrades user experience. Long operations should run in foreground with appropriate timeout, not in background with frequent polling.

Example (CORRECT):

# Test suite that might take 5 minutes (timeout in milliseconds)
result = Bash(command="pytest src/", timeout=300000)  # Wait up to 5 minutes
# The command will block here until completion - this is correct behavior

Example (WRONG):

# Don't use background + polling
bash_id = Bash(command="pytest", run_in_background=True)
output = BashOutput(bash_id)  # Creates spam!

Review Types

1. Phase Review

Scope: Single phase within specification (typically 3-10 tasks) When to use: Phase completion checkpoints, before moving to next phase Output: Phase-specific fidelity report with per-task breakdown Best practice: Use at phase boundaries to catch drift before starting next phase

2. Task Review

Scope: Individual task implementation (typically 1 file) When to use: Critical task validation, complex implementation verification Output: Task-specific compliance check with implementation comparison Best practice: Use for high-risk tasks (auth, data handling, API contracts)

Note: For full spec reviews, run phase-by-phase reviews for better manageability and quality.

Reading Specifications (CRITICAL)

This skill delegates ALL spec file access to the sdd fidelity-review CLI tool:

• ❌ NEVER use Read() tool on .json spec files - bypasses hooks and wastes context tokens (specs can be 50KB+)
• ❌ NEVER use Python to parse spec JSON directly
• ❌ NEVER use jq to query spec files via Bash
• ❌ NEVER use Bash commands to read specs (e.g., cat, head, tail, grep)
• ❌ NEVER use command chaining to access specs (e.g., sdd --version && cat specs/active/spec.json)
• ✅ ALWAYS use sdd fidelity-review CLI commands to access spec data
• ✅ The CLI provides efficient, structured access with proper parsing and validation
• ✅ Spec files are large - reading them directly wastes valuable context window space

All spec loading, task extraction, and requirement analysis happens inside the CLI tool.

Querying Spec and Task Data Efficiently

Before running a fidelity review, you may need to gather context about the spec, phases, or tasks. Use these efficient CLI commands instead of creating bash loops:

Query Multiple Tasks at Once

# Get all tasks in a phase
sdd query-tasks <spec-id> --parent phase-1 --json

# Get tasks by status
sdd query-tasks <spec-id> --status completed --json

# Combine filters
sdd query-tasks <spec-id> --parent phase-2 --status pending --json

# Get all tasks (no limit)
sdd query-tasks <spec-id> --limit 0 --json

Get Single Task Details

# Get detailed information about a specific task
sdd get-task <spec-id> task-1-3

List Phases

# See all phases with progress information
sdd list-phases <spec-id>

❌ DON'T Do This (Inefficient)

# BAD: Bash loop calling sdd get-task repeatedly
for i in 1 2 3 4 5; do
  sdd get-task spec-id "task-1-$i"
done

# BAD: Creating temp scripts
cat > /tmp/get_tasks.sh << 'EOF'
...
EOF

# BAD: Using grep to parse JSON
sdd get-task spec-id task-1 | grep -o '"status":"[^"]*"'

✅ DO This Instead

# GOOD: Single command gets all tasks in phase-1
sdd query-tasks spec-id --parent phase-1 --json

# GOOD: Parse JSON properly with jq if needed
sdd query-tasks spec-id --parent phase-1 --json | jq '.[] | select(.status=="completed")'

Workflow

This skill delegates all fidelity review logic to the dedicated sdd fidelity-review CLI tool, which handles spec loading, implementation analysis, AI consultation, and report generation.

Step 1: Validate Inputs

Ensure the user provides:

• spec_id: The specification to review
• Either task_id (for task-level review) or phase_id (for phase-level review)

Step 2: Construct CLI Command

Build the appropriate sdd fidelity-review command based on review scope:

For task review:

sdd fidelity-review <spec-id> --task <task-id>

For phase review:

sdd fidelity-review <spec-id> --phase <phase-id>

Step 3: Execute CLI Command

Use the Bash tool to execute the constructed command:

sdd fidelity-review <spec-id> --task <task-id>

CRITICAL: The CLI tool handles ALL spec file operations. Do NOT:

• Read spec files with Read tool
• Parse specs with Python or jq
• Use cat/head/tail/grep on spec files
• Create temporary bash scripts (e.g., /tmp/*.sh)
• Use bash loops to iterate through tasks (e.g., for i in 1 2 3; do sdd get-task...)
• Call sdd get-task in a loop - use sdd query-tasks for batch retrieval
• Use grep/sed/awk to parse JSON outputs - all commands return structured JSON

When you need task/spec context before running fidelity review: ✅ Use sdd query-tasks <spec-id> --parent <phase-id> --json to get all tasks in a phase ✅ Use sdd query-tasks <spec-id> --status <status> --json to filter by status ✅ Use sdd get-task <spec-id> <task-id> to get a single task's details ✅ Use sdd list-phases <spec-id> to see all phases

Then execute the fidelity review with the appropriate scope.

Your job is to execute the CLI command and parse its JSON output.

The CLI tool handles:

• Loading and validating the specification
• Extracting task/phase requirements
• Analyzing implementation files
• Consulting AI tools (gemini, codex, cursor-agent) for deviation analysis
• Detecting consensus across multiple AI perspectives
• Categorizing deviations (exact match, minor, major, missing)
• Assessing impact levels
• Generating structured report

Step 4: Parse and Present Results

The CLI returns JSON output with the structure:

{
  "spec_id": "...",
  "review_type": "task|phase",
  "scope": {"id": "...", "title": "..."},
  "summary": {
    "tasks_reviewed": 0,
    "files_analyzed": 0,
    "deviations_found": 0,
    "fidelity_score": 0
  },
  "findings": [
    {
      "task_id": "...",
      "assessment": "exact_match|minor_deviation|major_deviation|missing",
      "deviations": [...],
       
       
    
  
   ...

Parse this JSON, surface the structured findings directly to the invoking workflow, and include a link or path to the saved JSON report. The agent’s responsibility is to faithfully relay the CLI’s assessed deviations, recommendations, consensus signals, and metadata—perform validation/formatting as needed, but do not introduce any new analysis beyond what the CLI returned. Do not open or read the saved artifact; simply point the caller to its location.

Report Structure

# Implementation Fidelity Review

**Spec:** {spec-title} ({spec-id})
**Scope:** {review-scope}
**Date:** {review-date}

## Summary

- **Tasks Reviewed:** {count}
- **Files Analyzed:** {count}
- **Overall Fidelity:** {percentage}%
- **Deviations Found:** {count}

## Fidelity Score

- ✅ Exact Matches: {count} tasks
- ⚠️ Minor Deviations: {count} tasks
- ❌ Major Deviations: {count} tasks
- 🚫 Missing Functionality: {count} items

## Detailed Findings

### Task: {task-id} - {task-title}

**Specified:**
- {requirement-1}
- {requirement-2}

**Implemented:**
- {actual-1}
- {actual-2}

**Assessment:** {exact-match|minor-deviation|major-deviation}

**Deviations:**
1. {deviation-description}
   - **Impact:** {low|medium|high}
   - **Recommendation:** {action}

## Recommendations

1. {recommendation-1}
2. {recommendation-2}

## Journal Analysis

**Documented Deviations:**
- {task-id}: {deviation-summary} (from journal on {date})

**Undocumented Deviations:**
- {task-id}: {deviation-summary} (should be journaled)

Integration with SDD Workflow

When to Invoke

Fidelity reviews can be triggered at multiple points in the development workflow:

1. After task completion (Optional verification):

• Optional verification step for critical tasks
• Ensures task acceptance criteria fully met
• Particularly useful for high-risk tasks (auth, data handling, API contracts)
• Can be automated via verification task metadata

2. Phase completion (Recommended):

• Review entire phase before moving to next phase
• Catch drift early before it compounds
• Best practice: Use at phase boundaries
• Prevents accumulated technical debt

3. Spec completion (Pre-PR audit):

• Final comprehensive audit before PR creation
• Run phase-by-phase reviews for better quality
• Ensures PR matches spec intent
• Documents any deviations for PR description

4. PR review (Automated compliance):

• Automated or manual PR compliance checks
• Verify changes align with original specification
• Useful for reviewer context and validation

Review Outcome Handling

The sdd-fidelity-review skill hands its synthesized results—JSON findings plus the saved JSON report reference—directly back to the caller. The invoking workflow decides what to do next. Common follow-up actions the main agent may optionally consider include journaling deviations, planning remediation work, running regression tests, or proposing spec updates after stakeholder review. No automatic delegation occurs; the fidelity-review skill’s responsibility ends once it delivers the consensus results and report pointer.

Report Handoff

Fidelity review generates a detailed report comparing implementation against specification:

Usage Pattern:

1. Skill executes sdd fidelity-review CLI tool
2. CLI analyzes implementation, generates JSON output, and saves the JSON consensus report in .fidelity-reviews/
3. Skill parses the JSON, presents the summarized findings, and surfaces the stored report path to the caller

Fidelity Assessment

Exact Match (✅)

Implementation precisely matches specification requirements. No deviations detected.

Minor Deviation (⚠️)

Small differences from spec with no functional impact:

• Different variable names (but consistent with codebase style)
• Minor refactoring for code quality
• Improved error messages
• Additional logging or comments

Major Deviation (❌)

Significant differences affecting functionality or architecture:

• Different API signatures than specified
• Missing required features
• Different data structures
• Changed control flow or logic

Missing Functionality (🚫)

Specified features not implemented:

• Required functions missing
• Incomplete implementation
• Skipped acceptance criteria

Best Practices

DO

✅ Validate that spec_id and task_id/phase_id are provided ✅ Present findings clearly with categorized deviations ✅ Highlight recommendations for remediation ✅ Note AI consensus from multiple tool perspectives ✅ Provide context from the fidelity assessment ✅ Surface the saved JSON report path so the caller can inspect the full consensus artifacts

DON'T

❌ Attempt to manually implement review logic (CLI handles it) ❌ Read spec files directly with Read/Python/jq/Bash (CLI loads them) ❌ Create temporary bash scripts or use bash loops (e.g., for i in...; do sdd get-task...) ❌ Call sdd get-task in a loop - use sdd query-tasks for batch queries instead ❌ Use grep/sed/awk to parse JSON - all CLI commands return structured JSON ❌ Skip input validation ❌ Ignore the CLI tool's consensus analysis ❌ Make up review findings not from CLI output ❌ Perform additional analysis beyond the CLI's consensus results ❌ Open the persisted JSON report; reference its filepath instead

Example Invocations

Phase review:

Task(
  subagent_type: "sdd-toolkit:sdd-fidelity-review-subagent",
  prompt: "Review phase phase-1 in spec user-auth-001. Compare all completed tasks in Phase 1 (User Model & Authentication) against specification requirements.",
  description: "Phase 1 fidelity review"
)

Task-specific review:

Task(
  subagent_type: "sdd-toolkit:sdd-fidelity-review-subagent",
  prompt: "Review task task-2-3 in spec user-auth-001. Compare implementation in src/middleware/auth.ts against task requirements for JWT authentication middleware.",
  description: "Review auth middleware task"
)

Error Handling

Missing Required Information

If invoked without required information, the skill returns a structured error indicating which fields are missing.

Spec Not Found

If the specified spec file doesn't exist, the skill reports which directories were searched and suggests verification steps.

No Implementation Found

If the specified files don't exist, the skill warns that the task appears incomplete or the file paths are incorrect.

Success Criteria

A successful fidelity review:

• ✅ Compares all specified requirements against implementation
• ✅ Identifies and categorizes deviations accurately
• ✅ Assesses impact of deviations
• ✅ Provides actionable recommendations
• ✅ Generates clear, structured report
• ✅ Automatically saves to specs/.fidelity-reviews/ directory
• ✅ Documents findings for future reference

---

For creating specifications, use Skill(sdd-toolkit:sdd-plan). For task progress updates, use sdd-update-subagent. For running tests, use run-tests-subagent.